{"id":"https://openalex.org/W4200635003","doi":"https://doi.org/10.1109/infocom48880.2022.9796982","title":"Optimal Rate Adaption in Federated Learning with Compressed Communications","display_name":"Optimal Rate Adaption in Federated Learning with Compressed Communications","publication_year":2022,"publication_date":"2022-05-02","ids":{"openalex":"https://openalex.org/W4200635003","doi":"https://doi.org/10.1109/infocom48880.2022.9796982"},"language":"en","primary_location":{"id":"doi:10.1109/infocom48880.2022.9796982","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom48880.2022.9796982","pdf_url":null,"source":{"id":"https://openalex.org/S4363607980","display_name":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002534955","display_name":"Laizhong Cui","orcid":"https://orcid.org/0000-0003-1991-290X"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Laizhong Cui","raw_affiliation_strings":["Shenzhen University,College of Computer Science and Software Engineering,Shenzhen,China","College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen University,College of Computer Science and Software Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039549377","display_name":"Xiaoxin Su","orcid":"https://orcid.org/0000-0001-9514-1102"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxin Su","raw_affiliation_strings":["Shenzhen University,College of Computer Science and Software Engineering,Shenzhen,China","College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen University,College of Computer Science and Software Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029669009","display_name":"Yipeng Zhou","orcid":"https://orcid.org/0000-0003-1533-0865"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["AU","CN"],"is_corresponding":false,"raw_author_name":"Yipeng Zhou","raw_affiliation_strings":["Macquarie University,School of Computing, Faculty of Science and Engineering,Sydney,Australia","School of Computing, Faculty of Science and Engineering, Macquarie University, Sydney, Australia","Peng Cheng Laboratory, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Macquarie University,School of Computing, Faculty of Science and Engineering,Sydney,Australia","institution_ids":["https://openalex.org/I99043593"]},{"raw_affiliation_string":"School of Computing, Faculty of Science and Engineering, Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039311485","display_name":"Jiangchuan Liu","orcid":"https://orcid.org/0000-0001-6592-1984"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jiangchuan Liu","raw_affiliation_strings":["Simon Fraser University,School of Computing Science,Canada","School of Computing Science, Simon Fraser University, Canada"],"affiliations":[{"raw_affiliation_string":"Simon Fraser University,School of Computing Science,Canada","institution_ids":["https://openalex.org/I18014758"]},{"raw_affiliation_string":"School of Computing Science, Simon Fraser University, Canada","institution_ids":["https://openalex.org/I18014758"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5002534955"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":5.7749,"has_fulltext":false,"cited_by_count":56,"citation_normalized_percentile":{"value":0.96994912,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1459","last_page":"1468"},"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9922000169754028,"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":0.9782000184059143,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.8231987953186035},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8167113661766052},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6653906106948853},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.6503300070762634},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.6414629220962524},{"id":"https://openalex.org/keywords/data-compression-ratio","display_name":"Data compression ratio","score":0.6223483681678772},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.591319739818573},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.572838544845581},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.5311480760574341},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5131269097328186},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.45819196105003357},{"id":"https://openalex.org/keywords/convex-function","display_name":"Convex function","score":0.45750048756599426},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.42887380719184875},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.3701567053794861},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3502371311187744},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28341495990753174},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.2371334731578827},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.23539528250694275},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0799204409122467}],"concepts":[{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.8231987953186035},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8167113661766052},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6653906106948853},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.6503300070762634},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.6414629220962524},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.6223483681678772},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.591319739818573},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.572838544845581},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.5311480760574341},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5131269097328186},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.45819196105003357},{"id":"https://openalex.org/C145446738","wikidata":"https://www.wikidata.org/wiki/Q319913","display_name":"Convex function","level":3,"score":0.45750048756599426},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.42887380719184875},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.3701567053794861},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3502371311187744},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28341495990753174},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.2371334731578827},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.23539528250694275},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0799204409122467},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocom48880.2022.9796982","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom48880.2022.9796982","pdf_url":null,"source":{"id":"https://openalex.org/S4363607980","display_name":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320325571","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W2072566913","https://openalex.org/W2407022425","https://openalex.org/W2416799949","https://openalex.org/W2535838896","https://openalex.org/W2604783387","https://openalex.org/W2617766261","https://openalex.org/W2769644379","https://openalex.org/W2774000609","https://openalex.org/W2783522756","https://openalex.org/W2798720628","https://openalex.org/W2900182564","https://openalex.org/W2912213068","https://openalex.org/W2920095265","https://openalex.org/W2950346378","https://openalex.org/W2955213239","https://openalex.org/W2963318081","https://openalex.org/W2966527647","https://openalex.org/W2977797911","https://openalex.org/W2982409974","https://openalex.org/W2982464076","https://openalex.org/W2989289980","https://openalex.org/W3006017224","https://openalex.org/W3011892127","https://openalex.org/W3015636663","https://openalex.org/W3047282982","https://openalex.org/W3047304572","https://openalex.org/W3099980742","https://openalex.org/W3105122387","https://openalex.org/W3127965231","https://openalex.org/W3152624284","https://openalex.org/W3156794839","https://openalex.org/W3172811949","https://openalex.org/W3176174985","https://openalex.org/W4287728383","https://openalex.org/W4294328701","https://openalex.org/W4297687186","https://openalex.org/W4318619660","https://openalex.org/W6695367633","https://openalex.org/W6728757088","https://openalex.org/W6728975057","https://openalex.org/W6736413256","https://openalex.org/W6738460352","https://openalex.org/W6746200960","https://openalex.org/W6746839373","https://openalex.org/W6754416507","https://openalex.org/W6765541894","https://openalex.org/W6772307254","https://openalex.org/W6780501606","https://openalex.org/W6790212648"],"related_works":["https://openalex.org/W3007279825","https://openalex.org/W3127965231","https://openalex.org/W4205367172","https://openalex.org/W2979647660","https://openalex.org/W4226091556","https://openalex.org/W3029188025","https://openalex.org/W4200635003","https://openalex.org/W4308949318","https://openalex.org/W4283748167","https://openalex.org/W2997301085"],"abstract_inverted_index":{"Federated":[0],"Learning":[1],"(FL)":[2],"incurs":[3],"high":[4,151],"communication":[5],"overhead,":[6],"which":[7],"can":[8],"be":[9],"greatly":[10],"alleviated":[11],"by":[12,107],"compression":[13,21,39,59,76,111,131],"for":[14,32,46],"model":[15,23,64,105,152],"updates.":[16],"Yet":[17],"the":[18,26,47,55,58,62,69,75,83,103,110,119,135],"tradeoff":[19],"between":[20],"and":[22,91,138],"accuracy":[24,65,106,153],"in":[25,113,126,154],"networked":[27],"environment":[28],"remains":[29],"unclear":[30],"and,":[31],"simplicity,":[33],"most":[34],"implementations":[35],"adopt":[36],"a":[37],"fixed":[38],"rate":[40,85,112],"only.":[41],"In":[42],"this":[43,52],"paper,":[44],"we":[45,73],"first":[48],"time":[49],"systematically":[50],"examine":[51],"tradeoff,":[53],"identifying":[54],"influence":[56],"of":[57,78,123],"error":[60,77],"on":[61],"final":[63,104],"with":[66,129],"respect":[67],"to":[68,101],"learning":[70],"rate.":[71],"Specifically,":[72],"factor":[74],"each":[79,114],"global":[80],"iteration":[81],"into":[82],"convergence":[84],"analysis":[86],"under":[87],"both":[88],"strongly":[89],"convex":[90],"non-convex":[92],"loss":[93],"functions.":[94],"We":[95,116],"then":[96],"present":[97],"an":[98],"adaptation":[99],"framework":[100,125],"maximize":[102],"strategically":[108],"adjusting":[109],"iteration.":[115],"have":[117],"discussed":[118],"key":[120],"implementation":[121],"issues":[122],"our":[124,143],"practical":[127],"networks":[128],"representative":[130],"algorithms.":[132],"Experiments":[133],"over":[134],"popular":[136],"MNIST":[137],"CIFAR-10":[139],"datasets":[140],"confirm":[141],"that":[142],"solution":[144],"effectively":[145],"reduces":[146],"network":[147],"traffic":[148],"yet":[149],"maintains":[150],"FL.":[155]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}
