{"id":"https://openalex.org/W4402156196","doi":"https://doi.org/10.1109/icc51166.2024.10622675","title":"Weak Devices Matter: Model Heterogeneity in Resource-Constrained Federated Learning","display_name":"Weak Devices Matter: Model Heterogeneity in Resource-Constrained Federated Learning","publication_year":2024,"publication_date":"2024-06-09","ids":{"openalex":"https://openalex.org/W4402156196","doi":"https://doi.org/10.1109/icc51166.2024.10622675"},"language":"en","primary_location":{"id":"doi:10.1109/icc51166.2024.10622675","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icc51166.2024.10622675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2024 - IEEE International Conference on 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/A5112482399","display_name":"Tzu\u2013Hsuan Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Tzu\u2013Hsuan Peng","raw_affiliation_strings":["National Taiwan University,Department of Computer Science and Information Engineering,Taipei,Taiwan,R.O.C"],"affiliations":[{"raw_affiliation_string":"National Taiwan University,Department of Computer Science and Information Engineering,Taipei,Taiwan,R.O.C","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101755758","display_name":"Cheng\u2010Wei Huang","orcid":"https://orcid.org/0000-0002-8791-3368"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Cheng-Wei Huang","raw_affiliation_strings":["National Taiwan University,Department of Computer Science and Information Engineering,Taipei,Taiwan,R.O.C"],"affiliations":[{"raw_affiliation_string":"National Taiwan University,Department of Computer Science and Information Engineering,Taipei,Taiwan,R.O.C","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067426723","display_name":"Ai\u2010Chun Pang","orcid":"https://orcid.org/0000-0002-8275-2366"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ai-Chun Pang","raw_affiliation_strings":["National Taiwan University,Department of Computer Science and Information Engineering,Taipei,Taiwan,R.O.C"],"affiliations":[{"raw_affiliation_string":"National Taiwan University,Department of Computer Science and Information Engineering,Taipei,Taiwan,R.O.C","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009541123","display_name":"Te-Chuan Chiu","orcid":"https://orcid.org/0000-0001-9354-5306"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Te-Chuan Chiu","raw_affiliation_strings":["National Tsing Hua University,Department of Computer Science,Hsinchu,Taiwan,R.O.C"],"affiliations":[{"raw_affiliation_string":"National Tsing Hua University,Department of Computer Science,Hsinchu,Taiwan,R.O.C","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5112482399"],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":0.3491,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.65932037,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"3274","last_page":"3279"},"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":0.9987999796867371,"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/T10237","display_name":"Cryptography and Data Security","score":0.996399998664856,"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/computer-science","display_name":"Computer science","score":0.7185488939285278},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.527827799320221},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3681989312171936},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.17251506447792053}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7185488939285278},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.527827799320221},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3681989312171936},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.17251506447792053}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc51166.2024.10622675","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icc51166.2024.10622675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2024 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W569478347","https://openalex.org/W1980264541","https://openalex.org/W2115629999","https://openalex.org/W2566079294","https://openalex.org/W2744999500","https://openalex.org/W2798720628","https://openalex.org/W2807006176","https://openalex.org/W2921434559","https://openalex.org/W2978709794","https://openalex.org/W3021654819","https://openalex.org/W3043723611","https://openalex.org/W3105122387","https://openalex.org/W3106416029","https://openalex.org/W3134509799","https://openalex.org/W3181994005","https://openalex.org/W4287322665","https://openalex.org/W4306178637","https://openalex.org/W6728757088","https://openalex.org/W6781318954","https://openalex.org/W6783533280","https://openalex.org/W6796096428","https://openalex.org/W6810104323"],"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/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Federated":[0],"Learning":[1],"(FL)":[2],"is":[3],"a":[4,70,77,128,133,210],"promising":[5],"framework":[6,136],"for":[7],"enabling":[8],"edge":[9],"intelligence":[10],"while":[11],"preserving":[12],"privacy":[13],"and":[14,22,73,146,152,155,197,205,213,219],"enhancing":[15],"communication":[16],"efficiency.":[17],"In":[18],"real-world":[19],"scenarios,":[20],"limited":[21],"heterogeneous":[23],"hardware":[24],"resources":[25],"among":[26,85],"users":[27],"threaten":[28],"the":[29,61,82,89,95,101,119,148,171,181,221,225],"overall":[30],"training":[31],"efficiency":[32],"in":[33,45],"FL.":[34],"To":[35,126,165],"address":[36],"this":[37],"issue,":[38],"several":[39],"model":[40,96,109,114,173],"heterogeneity":[41,110,174],"frameworks":[42,111],"have":[43,69],"emerged":[44],"recent":[46],"years.":[47],"However,":[48],"existing":[49,108],"studies":[50],"primarily":[51],"focus":[52],"on":[53,57],"mitigating":[54],"idle":[55],"times":[56],"powerful":[58],"devices,":[59],"overlooking":[60],"fact":[62],"that":[63,176,190],"strong":[64,104,151,226],"devices":[65,93,154],"may":[66,97],"not":[67],"always":[68],"positive":[71],"impact":[72,223],"can":[74],"potentially":[75],"become":[76],"burden":[78],"instead.":[79],"Furthermore,":[80],"as":[81],"resource":[83],"gap":[84],"clients":[86],"widens":[87],"or":[88],"number":[90],"of":[91,103,121,150,185],"weak":[92,124,153,182],"increases,":[94],"be":[98],"hindered":[99],"by":[100,217],"influence":[102],"devices.":[105,125,227],"Directly":[106],"applying":[107],"leads":[112],"to":[113,118],"performance":[115,129],"degradation":[116],"due":[117],"neglect":[120],"contributions":[122],"from":[123,180,224],"make":[127],"breakthrough,":[130],"we":[131,169],"proposed":[132],"novel":[134],"FL":[135],"called":[137],"Progressive":[138],"Width":[139],"Mixing":[140],"(PWM),":[141],"which":[142],"extracts":[143],"diverse":[144],"features":[145],"balances":[147],"contribution":[149],"mitigates":[156,220],"straggler":[157,178],"effects":[158,179],"under":[159],"scenarios":[160],"with":[161],"various":[162,202],"device":[163,203],"distributions.":[164],"our":[166],"best":[167],"knowledge,":[168],"are":[170],"first":[172],"work":[175],"considered":[177],"devices'":[183],"point":[184],"view.":[186],"The":[187],"experiments":[188],"show":[189],"PWM":[191,208],"maintains":[192],"stability":[193],"over":[194],"different":[195],"datasets":[196],"outperforms":[198],"all":[199,215],"baselines":[200,216],"across":[201],"distributions":[204],"non-IID":[206],"scenarios.":[207],"makes":[209],"leap":[211],"forward":[212],"surpasses":[214],"7%,":[218],"negative":[222]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}