{"id":"https://openalex.org/W4392024287","doi":"https://doi.org/10.1109/tmc.2024.3368473","title":"Adaptive Heterogeneous Client Sampling for Federated Learning Over Wireless Networks","display_name":"Adaptive Heterogeneous Client Sampling for Federated Learning Over Wireless Networks","publication_year":2024,"publication_date":"2024-02-22","ids":{"openalex":"https://openalex.org/W4392024287","doi":"https://doi.org/10.1109/tmc.2024.3368473"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2024.3368473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2024.3368473","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Mobile Computing","raw_type":"journal-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/A5010645658","display_name":"Bing Luo","orcid":"https://orcid.org/0000-0002-3664-5009"},"institutions":[{"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"]},{"id":"https://openalex.org/I4210159968","display_name":"Duke Kunshan University","ror":"https://ror.org/04sr5ys16","country_code":"CN","type":"education","lineage":["https://openalex.org/I170897317","https://openalex.org/I37461747","https://openalex.org/I4210159968"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Luo","raw_affiliation_strings":["Data Science Research Center, Duke-Kunshan University, Kunshan, China","Data Science Research Center, Duke Kunshan University, Kunshan, China","Peng Cheng Laboratory (PCL), Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-3664-5009","affiliations":[{"raw_affiliation_string":"Data Science Research Center, Duke-Kunshan University, Kunshan, China","institution_ids":["https://openalex.org/I4210159968"]},{"raw_affiliation_string":"Data Science Research Center, Duke Kunshan University, Kunshan, China","institution_ids":["https://openalex.org/I4210159968"]},{"raw_affiliation_string":"Peng Cheng Laboratory (PCL), Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wenli Xiao","orcid":"https://orcid.org/0000-0001-7310-1652"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenli Xiao","raw_affiliation_strings":["Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":"https://orcid.org/0000-0001-7310-1652","affiliations":[{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100443968","display_name":"Shiqiang Wang","orcid":"https://orcid.org/0000-0003-2090-5512"},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shiqiang Wang","raw_affiliation_strings":["IBM T. J. Watson Research Center, Yorktown Heights, NY, USA"],"raw_orcid":"https://orcid.org/0000-0003-2090-5512","affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062346297","display_name":"Jianwei Huang","orcid":"https://orcid.org/0000-0001-6631-1096"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwei Huang","raw_affiliation_strings":["School of Science and Engineering, Shenzhen Institute of Artificial Intelligence and Robotics for Society, The Chinese University of Hong Kong, Shenzhen, China","School of Science and Engineering, Shenzhen Institute of Artificial Intelligence and Robotics for Society, The Chinese University of Hong Kong, Shenzhen, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-6631-1096","affiliations":[{"raw_affiliation_string":"School of Science and Engineering, Shenzhen Institute of Artificial Intelligence and Robotics for Society, The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"School of Science and Engineering, Shenzhen Institute of Artificial Intelligence and Robotics for Society, The Chinese University of Hong Kong, Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014892027","display_name":"Leandros Tassiulas","orcid":"https://orcid.org/0000-0003-0932-774X"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Leandros Tassiulas","raw_affiliation_strings":["Department of Electrical Engineering and Institute for Network Science, Yale University, New Haven, CT, USA"],"raw_orcid":"https://orcid.org/0000-0003-0932-774X","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Institute for Network Science, Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.8743,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.93860833,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"23","issue":"10","first_page":"9663","last_page":"9677"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998000264167786,"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":0.9998000264167786,"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/T11158","display_name":"Wireless Networks and Protocols","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.996999979019165,"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":0.8726224899291992},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.5844717621803284},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.5061230063438416},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4994850158691406},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4311460554599762},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2522163987159729}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8726224899291992},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5844717621803284},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.5061230063438416},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4994850158691406},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4311460554599762},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2522163987159729}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmc.2024.3368473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2024.3368473","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Mobile Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G624034441","display_name":null,"funder_award_id":"2021B1515120008","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G8222963720","display_name":null,"funder_award_id":"62271434","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/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W2112796928","https://openalex.org/W2472333518","https://openalex.org/W2535838896","https://openalex.org/W2624989916","https://openalex.org/W2798720628","https://openalex.org/W2900182564","https://openalex.org/W2912213068","https://openalex.org/W2920095265","https://openalex.org/W2963115772","https://openalex.org/W2963318081","https://openalex.org/W2975156709","https://openalex.org/W2979359324","https://openalex.org/W2981206218","https://openalex.org/W2982654255","https://openalex.org/W2995022099","https://openalex.org/W3021654819","https://openalex.org/W3037871107","https://openalex.org/W3041733661","https://openalex.org/W3046056026","https://openalex.org/W3047304572","https://openalex.org/W3047595056","https://openalex.org/W3095276777","https://openalex.org/W3105122387","https://openalex.org/W3109847748","https://openalex.org/W3111179237","https://openalex.org/W3111182214","https://openalex.org/W3113075536","https://openalex.org/W3116579057","https://openalex.org/W3127965231","https://openalex.org/W3131195871","https://openalex.org/W3155160971","https://openalex.org/W3156310591","https://openalex.org/W3183536570","https://openalex.org/W3206219421","https://openalex.org/W3207233526","https://openalex.org/W3207532613","https://openalex.org/W4226183928","https://openalex.org/W4287647398","https://openalex.org/W4300092207","https://openalex.org/W4301183978","https://openalex.org/W6638704708","https://openalex.org/W6684012599","https://openalex.org/W6685644109","https://openalex.org/W6717867081","https://openalex.org/W6728757088","https://openalex.org/W6732298257","https://openalex.org/W6744123189","https://openalex.org/W6752191696","https://openalex.org/W6755251367","https://openalex.org/W6759226220","https://openalex.org/W6759238902","https://openalex.org/W6762930437","https://openalex.org/W6765541894","https://openalex.org/W6766019203","https://openalex.org/W6769579599","https://openalex.org/W6769624030","https://openalex.org/W6780398089","https://openalex.org/W6784048413","https://openalex.org/W6784343361","https://openalex.org/W6790212648","https://openalex.org/W6795281715","https://openalex.org/W6798527441"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"Federated":[0],"learning":[1,132,156],"(FL)":[2],"algorithms":[3,114],"usually":[4],"sample":[5],"a":[6,107,146,166,214,228],"fraction":[7],"of":[8,18,35,60,180,200,221],"clients":[9,202],"in":[10,145,160,227,269],"each":[11],"round":[12],"(partial":[13],"participation)":[14],"when":[15],"the":[16,23,32,101,122,127,130,157,161,172,178,187,198,204,219,254,277,283],"number":[17,199,217,220],"participants":[19],"is":[20,27],"large":[21],"and":[22,66,69,74,96,134,164,182,210,244],"server's":[24],"communication":[25,67],"bandwidth":[26,140],"limited.":[28],"Recent":[29],"works":[30],"on":[31,39,121,186],"convergence":[33,55,103,110,162,206,224,255],"analysis":[34],"FL":[36,88,113],"have":[37],"focused":[38],"unbiased":[40],"client":[41,84,117,189],"sampling,":[42],"e.g.,":[43],"sampling":[44,85,118,135,190,216,250,261,280],"uniformly":[45],"at":[46],"random,":[47],"which":[48,143],"suffers":[49],"from":[50,240],"slow":[51],"wall-clock":[52,102],"time":[53,133,207,231,256,275],"for":[54,87,112,155,223,264,281],"due":[56,233],"to":[57,80,99,169,234,258],"high":[58],"degrees":[59],"system":[61,95,181],"heterogeneity":[62,71,98,184],"(e.g.,":[63,72],"diverse":[64],"computation":[65],"capacities)":[68],"statistical":[70,97,183],"unbalanced":[73],"non-i.i.d.":[75],"data).":[76],"This":[77],"paper":[78],"aims":[79],"design":[81,151],"an":[82,138,152],"adaptive":[83,139],"algorithm":[86,154,168],"over":[89],"wireless":[90,236],"networks":[91],"that":[92,196,247],"tackles":[93],"both":[94,241],"minimize":[100],"time.":[104],"We":[105,150],"obtain":[106],"new":[108],"tractable":[109],"bound":[111,163],"with":[115,137],"arbitrary":[116],"probability.":[119],"Based":[120],"bound,":[123],"we":[124],"analytically":[125],"establish":[126],"relationship":[128],"between":[129],"total":[131,205],"probability":[136],"allocation":[141],"scheme,":[142],"results":[144,226,239],"non-convex":[147,173],"optimization":[148],"problem.":[149,174],"efficient":[153],"unknown":[158],"parameters":[159,185],"develop":[165],"low-complexity":[167],"approximately":[170],"solve":[171],"Our":[175],"solution":[176,194],"reveals":[177],"impact":[179],"optimal":[188],"design.":[191],"Moreover,":[192],"our":[193,248,267],"shows":[195],"as":[197],"sampled":[201],"increases,":[203],"first":[208],"decreases":[209],"then":[211],"increases":[212],"because":[213],"larger":[215],"reduces":[218,253],"rounds":[222],"but":[225],"longer":[229],"expected":[230],"per-round":[232],"limited":[235],"bandwidth.":[237],"Experimental":[238],"hardware":[242,270],"prototype":[243,271],"simulation":[245],"demonstrate":[246],"proposed":[249],"scheme":[251,268],"significantly":[252],"compared":[257],"several":[259],"baseline":[260,278],"schemes.":[262],"Notably,":[263],"EMNIST":[265],"dataset,":[266],"spends":[272],"71%":[273],"less":[274],"than":[276],"uniform":[279],"reaching":[282],"same":[284],"target":[285],"loss.":[286]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":12}],"updated_date":"2026-07-26T07:53:14.480251","created_date":"2025-10-10T00:00:00"}
