{"id":"https://openalex.org/W4290003882","doi":"https://doi.org/10.1145/3510587","title":"Communication-Efficient Federated Learning with Adaptive Quantization","display_name":"Communication-Efficient Federated Learning with Adaptive Quantization","publication_year":2022,"publication_date":"2022-03-23","ids":{"openalex":"https://openalex.org/W4290003882","doi":"https://doi.org/10.1145/3510587"},"language":"en","primary_location":{"id":"doi:10.1145/3510587","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3510587","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3510587","source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3510587","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102892871","display_name":"Yuzhu Mao","orcid":"https://orcid.org/0000-0001-6916-7990"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuzhu Mao","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong Province, China and Tsinghua-Berkeley Shenzhen Institute (TBSI), Tsinghua University, Shenzhen, Guangdong Province, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong Province, China and Tsinghua-Berkeley Shenzhen Institute (TBSI), Tsinghua University, Shenzhen, Guangdong Province, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069847048","display_name":"Zihao Zhao","orcid":"https://orcid.org/0000-0001-7173-3226"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihao Zhao","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong Province, China and Tsinghua-Berkeley Shenzhen Institute (TBSI), Tsinghua University, Shenzhen, Guangdong Province, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong Province, China and Tsinghua-Berkeley Shenzhen Institute (TBSI), Tsinghua University, Shenzhen, Guangdong Province, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039893040","display_name":"Guangfeng Yan","orcid":"https://orcid.org/0000-0002-0936-9467"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I4210105229","display_name":"City University of Hong Kong, Shenzhen Research Institute","ror":"https://ror.org/00xc0ma20","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105229"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Guangfeng Yan","raw_affiliation_strings":["City University of Hong Kong, Kowloon, Hong Kong, China and City University of Hong Kong Shenzhen Research Institute, Shenzhen, Guangdong Province, China"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Kowloon, Hong Kong, China and City University of Hong Kong Shenzhen Research Institute, Shenzhen, Guangdong Province, China","institution_ids":["https://openalex.org/I168719708","https://openalex.org/I4210105229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100693653","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0002-4393-1791"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["Institute for AI Industry Research, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute for AI Industry Research, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018464968","display_name":"Tian Lan","orcid":"https://orcid.org/0000-0003-3010-8090"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tian Lan","raw_affiliation_strings":["George Washington University, Washington, DC, USA"],"affiliations":[{"raw_affiliation_string":"George Washington University, Washington, DC, USA","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035185924","display_name":"Linqi Song","orcid":"https://orcid.org/0000-0003-2756-4984"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I4210105229","display_name":"City University of Hong Kong, Shenzhen Research Institute","ror":"https://ror.org/00xc0ma20","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105229"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Linqi Song","raw_affiliation_strings":["City University of Hong Kong, Kowloon, Hong Kong, China and City University of Hong Kong Shenzhen Research Institute, Shenzhen, Guangdong Province, China"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Kowloon, Hong Kong, China and City University of Hong Kong Shenzhen Research Institute, Shenzhen, Guangdong Province, China","institution_ids":["https://openalex.org/I168719708","https://openalex.org/I4210105229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084510549","display_name":"Wenbo Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbo Ding","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong Province, China and Tsinghua-Berkeley Shenzhen Institute (TBSI), Tsinghua University, Shenzhen, Guangdong Province, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong Province, China and Tsinghua-Berkeley Shenzhen Institute (TBSI), Tsinghua University, Shenzhen, Guangdong Province, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5102892871"],"corresponding_institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":10.6875,"has_fulltext":true,"cited_by_count":81,"citation_normalized_percentile":{"value":0.98594311,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"13","issue":"4","first_page":"1","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9818000197410583,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.961899995803833,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8717201948165894},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.7350219488143921},{"id":"https://openalex.org/keywords/dropout","display_name":"Dropout (neural networks)","score":0.6807926297187805},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.6250057220458984},{"id":"https://openalex.org/keywords/dither","display_name":"Dither","score":0.5570611357688904},{"id":"https://openalex.org/keywords/information-bottleneck-method","display_name":"Information bottleneck method","score":0.5402119159698486},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.4777221381664276},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.4230874180793762},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3519533574581146},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.32217517495155334},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2783048748970032},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.26623058319091797},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2211175262928009},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1799061894416809},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14145982265472412},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.1200600266456604},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.10356691479682922}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8717201948165894},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.7350219488143921},{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.6807926297187805},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6250057220458984},{"id":"https://openalex.org/C70451592","wikidata":"https://www.wikidata.org/wiki/Q376493","display_name":"Dither","level":3,"score":0.5570611357688904},{"id":"https://openalex.org/C60008888","wikidata":"https://www.wikidata.org/wiki/Q6031013","display_name":"Information bottleneck method","level":3,"score":0.5402119159698486},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.4777221381664276},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.4230874180793762},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3519533574581146},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.32217517495155334},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2783048748970032},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26623058319091797},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2211175262928009},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1799061894416809},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14145982265472412},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.1200600266456604},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.10356691479682922},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3510587","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3510587","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3510587","source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3510587","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3510587","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3510587","source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1379700071","display_name":null,"funder_award_id":"2020GQG1004","funder_id":"https://openalex.org/F4320322392","funder_display_name":"Tsinghua University"},{"id":"https://openalex.org/G1477544716","display_name":null,"funder_award_id":"Guangdong","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2597775472","display_name":null,"funder_award_id":"21013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2981938667","display_name":null,"funder_award_id":"Shenzhen","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3224924744","display_name":null,"funder_award_id":"HW202 and QD2021013C","funder_id":"https://openalex.org/F4320337986","funder_display_name":"Tsinghua Shenzhen International Graduate School"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37979670","display_name":null,"funder_award_id":"62104125","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5919708798","display_name":null,"funder_award_id":"2020A1515110887","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6536786679","display_name":null,"funder_award_id":"A1515110","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G6928228802","display_name":null,"funder_award_id":"QD2021013C","funder_id":"https://openalex.org/F4320337986","funder_display_name":"Tsinghua Shenzhen International Graduate School"},{"id":"https://openalex.org/G8050651220","display_name":null,"funder_award_id":"202101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8246171347","display_name":null,"funder_award_id":"2021013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322392","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320337986","display_name":"Tsinghua Shenzhen International Graduate School","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4290003882.pdf","grobid_xml":"https://content.openalex.org/works/W4290003882.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1989637899","https://openalex.org/W2407022425","https://openalex.org/W2473418344","https://openalex.org/W2604738573","https://openalex.org/W2606891064","https://openalex.org/W2767079719","https://openalex.org/W2786602455","https://openalex.org/W2798720628","https://openalex.org/W2903890850","https://openalex.org/W2911495555","https://openalex.org/W2912083425","https://openalex.org/W2912213068","https://openalex.org/W2913668833","https://openalex.org/W2989289980","https://openalex.org/W3023574229","https://openalex.org/W3033511014","https://openalex.org/W3037913917","https://openalex.org/W3046996734","https://openalex.org/W3093828967","https://openalex.org/W3101036738","https://openalex.org/W3105122387","https://openalex.org/W3112073073","https://openalex.org/W3119652720","https://openalex.org/W3124286507","https://openalex.org/W3162286130","https://openalex.org/W3184192107"],"related_works":["https://openalex.org/W4401325445","https://openalex.org/W2622284819","https://openalex.org/W1948542356","https://openalex.org/W1504394672","https://openalex.org/W1942455505","https://openalex.org/W3089381707","https://openalex.org/W4285254085","https://openalex.org/W3034190530","https://openalex.org/W2741297526","https://openalex.org/W4295728955"],"abstract_inverted_index":{"Federated":[0],"learning":[1],"(FL)":[2],"has":[3],"attracted":[4],"tremendous":[5],"attentions":[6],"in":[7,18,207],"recent":[8],"years":[9],"due":[10],"to":[11,71,124,126,176,182,190],"its":[12],"privacy-preserving":[13],"measures":[14],"and":[15,27,37,93,115,143,185],"great":[16],"potential":[17],"some":[19],"distributed":[20],"but":[21],"privacy-sensitive":[22],"applications,":[23],"such":[24],"as":[25,132],"finance":[26],"health.":[28],"However,":[29],"high":[30],"communication":[31,196],"overloads":[32],"for":[33,80,110],"transmitting":[34],"high-dimensional":[35],"networks":[36],"extra":[38],"security":[39],"masks":[40],"remain":[41],"a":[42,49,67,160,177],"bottleneck":[43],"of":[44,76,128,201],"FL.":[45],"This":[46],"article":[47],"proposes":[48],"communication-efficient":[50],"FL":[51,194,209],"framework":[52],"with":[53,105,134,155,166,198],"an":[54,94,106],"Adaptive":[55],"Quantized":[56,139,146],"Gradient":[57,140],"(AQG),":[58],"which":[59,99],"adaptively":[60],"adjusts":[61],"the":[62,74,102,120,186,193,199],"quantization":[63],"level":[64],"based":[65],"on":[66],"local":[68,77],"gradient\u2019s":[69],"update":[70],"fully":[72],"utilize":[73],"heterogeneity":[75],"data":[78,157,169],"distribution":[79],"reducing":[81],"unnecessary":[82],"transmissions.":[83],"In":[84],"addition,":[85],"client":[86,178,203],"dropout":[87,103],"issues":[88],"are":[89],"taken":[90],"into":[91],"account":[92],"Augmented":[95,187],"AQG":[96,122,173,188],"is":[97,174],"developed,":[98],"could":[100],"limit":[101],"noise":[104],"appropriate":[107],"amplification":[108],"mechanism":[109],"transmitted":[111],"gradients.":[112],"Theoretical":[113],"analysis":[114],"experiment":[116],"results":[117],"show":[118],"that":[119],"proposed":[121,172],"leads":[123],"18%":[125],"50%":[127],"additional":[129],"transmission":[130,163],"reduction":[131,164],"compared":[133,165],"existing":[135],"popular":[136],"methods,":[137],"including":[138],"Descent":[141],"(QGD)":[142],"Lazily":[144],"Aggregated":[145],"(LAQ)":[147],"gradient-based":[148],"methods":[149],"without":[150],"deteriorating":[151],"convergence":[152],"properties.":[153],"Experiments":[154],"heterogenous":[156],"distributions":[158],"corroborate":[159],"more":[161],"significant":[162],"independent":[167],"identical":[168],"distributions.":[170],"The":[171],"robust":[175],"dropping":[179],"rate":[180],"up":[181],"90%":[183],"empirically,":[184],"manages":[189],"further":[191],"improve":[192],"system\u2019s":[195],"efficiency":[197],"presence":[200],"moderate-scale":[202],"dropouts":[204],"commonly":[205],"seen":[206],"practical":[208],"scenarios.":[210]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":31},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":6}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}