{"id":"https://openalex.org/W4285034082","doi":"https://doi.org/10.1109/iccworkshops53468.2022.9814558","title":"Grouped Federated Learning: A Decentralized Learning Framework with Low Latency for Heterogeneous Devices","display_name":"Grouped Federated Learning: A Decentralized Learning Framework with Low Latency for Heterogeneous Devices","publication_year":2022,"publication_date":"2022-05-16","ids":{"openalex":"https://openalex.org/W4285034082","doi":"https://doi.org/10.1109/iccworkshops53468.2022.9814558"},"language":"en","primary_location":{"id":"doi:10.1109/iccworkshops53468.2022.9814558","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccworkshops53468.2022.9814558","pdf_url":null,"source":{"id":"https://openalex.org/S4363608034","display_name":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","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":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","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/A5051720903","display_name":"Tong Yin","orcid":"https://orcid.org/0009-0000-6408-8767"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Yin","raw_affiliation_strings":["Northwestern Polytechnical University,School of Electronics and Information,Xi&#x0027;an,China,710129"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Electronics and Information,Xi&#x0027;an,China,710129","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100782093","display_name":"Lixin Li","orcid":"https://orcid.org/0000-0002-9980-2649"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lixin Li","raw_affiliation_strings":["Northwestern Polytechnical University,School of Electronics and Information,Xi&#x0027;an,China,710129"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Electronics and Information,Xi&#x0027;an,China,710129","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081394007","display_name":"Wensheng Lin","orcid":"https://orcid.org/0000-0002-7568-4609"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wensheng Lin","raw_affiliation_strings":["Northwestern Polytechnical University,School of Electronics and Information,Xi&#x0027;an,China,710129"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Electronics and Information,Xi&#x0027;an,China,710129","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103253070","display_name":"Donghui Ma","orcid":"https://orcid.org/0000-0003-2918-5531"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Donghui Ma","raw_affiliation_strings":["Northwestern Polytechnical University,School of Electronics and Information,Xi&#x0027;an,China,710129"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Electronics and Information,Xi&#x0027;an,China,710129","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063667378","display_name":"Zhu Han","orcid":"https://orcid.org/0000-0002-6606-5822"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhu Han","raw_affiliation_strings":["University of Houston,Department of Electrical and Computer Engineering,Houston,TX,77004"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Houston,Department of Electrical and Computer Engineering,Houston,TX,77004","institution_ids":["https://openalex.org/I44461941"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7267,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.70458521,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"55","last_page":"60"},"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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9430000185966492,"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"}},{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9013000130653381,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.9328082799911499},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8346231579780579},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6784380674362183},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.6451622247695923},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5071501731872559},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4889329969882965},{"id":"https://openalex.org/keywords/information-exchange","display_name":"Information exchange","score":0.48268723487854004},{"id":"https://openalex.org/keywords/distributed-learning","display_name":"Distributed learning","score":0.46899867057800293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44410398602485657},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4434834420681},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4305281937122345},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.391667902469635},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1606416404247284},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12399375438690186}],"concepts":[{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.9328082799911499},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8346231579780579},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6784380674362183},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.6451622247695923},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5071501731872559},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4889329969882965},{"id":"https://openalex.org/C189693848","wikidata":"https://www.wikidata.org/wiki/Q6031064","display_name":"Information exchange","level":2,"score":0.48268723487854004},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.46899867057800293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44410398602485657},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4434834420681},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4305281937122345},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.391667902469635},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1606416404247284},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12399375438690186},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccworkshops53468.2022.9814558","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccworkshops53468.2022.9814558","pdf_url":null,"source":{"id":"https://openalex.org/S4363608034","display_name":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","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":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[{"id":"https://openalex.org/G1107511989","display_name":null,"funder_award_id":"CNS-1717454,CNS-1731424,CNS-1702850,CNS-1646607","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3275227843","display_name":null,"funder_award_id":"SAST2020-124","funder_id":"https://openalex.org/F4320311020","funder_display_name":"Shanghai Academy of Spaceflight Technology"},{"id":"https://openalex.org/G638176488","display_name":null,"funder_award_id":"62001387","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320311020","display_name":"Shanghai Academy of Spaceflight Technology","ror":"https://ror.org/01z8tr155"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2112796928","https://openalex.org/W2157331557","https://openalex.org/W2160815625","https://openalex.org/W2810292802","https://openalex.org/W2919115771","https://openalex.org/W2949003697","https://openalex.org/W2963037989","https://openalex.org/W2996845627","https://openalex.org/W3045062278","https://openalex.org/W3095499523","https://openalex.org/W3106356772","https://openalex.org/W3129828944","https://openalex.org/W4300427724","https://openalex.org/W6728757088","https://openalex.org/W6730398498"],"related_works":["https://openalex.org/W4317941881","https://openalex.org/W4398164851","https://openalex.org/W3035996294","https://openalex.org/W4229067761","https://openalex.org/W4323521275","https://openalex.org/W4220738117","https://openalex.org/W3091296419","https://openalex.org/W2954034773","https://openalex.org/W4322741898","https://openalex.org/W3159168343"],"abstract_inverted_index":{"In":[0,58],"recent":[1],"years,":[2],"federated":[3,79,82],"learning":[4,16,83,141],"(FL)":[5],"plays":[6],"an":[7],"important":[8],"role":[9],"in":[10,32],"data":[11,20],"privacy-sensitive":[12],"scenarios":[13],"to":[14,24,103],"perform":[15],"works":[17],"collectively":[18],"without":[19],"exchange.":[21],"However,":[22],"due":[23],"the":[25,34,39,48,69,72,98,105,108,115,121,129],"centralized":[26],"model":[27,42],"aggregation":[28],"for":[29,55,119],"heterogeneous":[30,126],"devices":[31],"FL,":[33],"convergence":[35,106,122],"is":[36,136],"delayed":[37],"by":[38,67],"last":[40],"updated":[41],"after":[43],"local":[44],"training,":[45],"which":[46,96],"increases":[47],"economic":[49],"cost":[50,89],"and":[51,75,91],"dampens":[52],"clients'":[53],"motivations":[54],"participating":[56],"FL.":[57],"this":[59],"paper,":[60],"we":[61,86],"propose":[62],"a":[63,88,92],"decentralized":[64],"FL":[65,109,124],"framework":[66],"grouping":[68,94],"clients":[70,99],"with":[71,125,139],"similar":[73],"computing":[74],"communication":[76],"performance,":[77],"named":[78],"averaging-inspired":[80],"group-based":[81],"(FGFL).":[84],"Specifically,":[85],"provide":[87],"function":[90],"greedy-based":[93],"strategy,":[95],"divides":[97],"into":[100],"several":[101],"groups":[102],"accelerate":[104],"of":[107,117,123],"model.":[110],"The":[111],"simulation":[112],"results":[113],"verify":[114],"effectiveness":[116],"FGFL":[118,135],"accelerating":[120],"clients.":[127],"Besides":[128],"exemplified":[130],"convolutional":[131],"neural":[132],"network":[133],"(CNN),":[134],"also":[137],"applicable":[138],"other":[140],"models.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
