{"id":"https://openalex.org/W4409585615","doi":"https://doi.org/10.1145/3730587","title":"Decentralized Federated Learning towards Communication Efficiency, Robustness, and Personalization","display_name":"Decentralized Federated Learning towards Communication Efficiency, Robustness, and Personalization","publication_year":2025,"publication_date":"2025-04-18","ids":{"openalex":"https://openalex.org/W4409585615","doi":"https://doi.org/10.1145/3730587"},"language":"en","primary_location":{"id":"doi:10.1145/3730587","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3730587","pdf_url":null,"source":{"id":"https://openalex.org/S170502224","display_name":"ACM Transactions on Sensor Networks","issn_l":"1550-4859","issn":["1550-4859","1550-4867"],"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 Sensor Networks","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/A5100336637","display_name":"Anqi Zhang","orcid":"https://orcid.org/0000-0003-3602-7443"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Anqi Zhang","raw_affiliation_strings":["Donghua University, Shanghai, China","Donghua University,  Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]},{"raw_affiliation_string":"Donghua University,  Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012322362","display_name":"Ping Zhao","orcid":"https://orcid.org/0000-0003-0907-9926"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Zhao","raw_affiliation_strings":["Donghua University, Shanghai, China","Donghua University,  Shanghai China"],"affiliations":[{"raw_affiliation_string":"Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]},{"raw_affiliation_string":"Donghua University,  Shanghai China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102756730","display_name":"Wenke Lu","orcid":"https://orcid.org/0000-0003-0998-0829"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenke Lu","raw_affiliation_strings":["Donghua University, Shanghai, China","Donghua University,  Shanghai China"],"affiliations":[{"raw_affiliation_string":"Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]},{"raw_affiliation_string":"Donghua University,  Shanghai China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014686940","display_name":"Guanglin Zhang","orcid":"https://orcid.org/0000-0003-4095-6843"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanglin Zhang","raw_affiliation_strings":["Donghua University, Shanghai, China","Donghua University,  Shanghai China"],"affiliations":[{"raw_affiliation_string":"Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]},{"raw_affiliation_string":"Donghua University,  Shanghai China","institution_ids":["https://openalex.org/I181326427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100336637"],"corresponding_institution_ids":["https://openalex.org/I181326427"],"apc_list":null,"apc_paid":null,"fwci":2.3568,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.88684932,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"21","issue":"3","first_page":"1","last_page":"20"},"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/T10237","display_name":"Cryptography and Data Security","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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9894999861717224,"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":0.8604116439819336},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7555224895477295},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.7444660663604736},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5254896283149719},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.4814243018627167},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.41391411423683167},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2336173951625824}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8604116439819336},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7555224895477295},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.7444660663604736},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5254896283149719},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.4814243018627167},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.41391411423683167},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2336173951625824},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3730587","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3730587","pdf_url":null,"source":{"id":"https://openalex.org/S170502224","display_name":"ACM Transactions on Sensor Networks","issn_l":"1550-4859","issn":["1550-4859","1550-4867"],"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 Sensor Networks","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2062492869","display_name":null,"funder_award_id":"23XD1420100","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G8767505352","display_name":null,"funder_award_id":"62072096, 62372100","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/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"},{"id":"https://openalex.org/F4320336023","display_name":"Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2560674852","https://openalex.org/W2914212774","https://openalex.org/W2914393402","https://openalex.org/W3042621011","https://openalex.org/W3087391814","https://openalex.org/W3111419317","https://openalex.org/W3122294042","https://openalex.org/W4206372917","https://openalex.org/W4225796852","https://openalex.org/W4226126236","https://openalex.org/W4281639882","https://openalex.org/W4285058207","https://openalex.org/W4285218634","https://openalex.org/W4289656845","https://openalex.org/W4312231739","https://openalex.org/W4312557211","https://openalex.org/W4312600254","https://openalex.org/W4312768957","https://openalex.org/W4323644302","https://openalex.org/W4362714522","https://openalex.org/W4368232801","https://openalex.org/W4382237486","https://openalex.org/W4385080416","https://openalex.org/W4385567819","https://openalex.org/W4386065425","https://openalex.org/W4386766438","https://openalex.org/W4386867879","https://openalex.org/W4390285166","https://openalex.org/W4390691907","https://openalex.org/W4391406919","https://openalex.org/W4391462029"],"related_works":["https://openalex.org/W4298221930","https://openalex.org/W2109940557","https://openalex.org/W2466832359","https://openalex.org/W4391210591","https://openalex.org/W1582019636","https://openalex.org/W1499005795","https://openalex.org/W2777914285","https://openalex.org/W3172493050","https://openalex.org/W4378677776","https://openalex.org/W4303448918"],"abstract_inverted_index":{"Decentralized":[0],"federated":[1,25,32,107],"learning":[2,33,108],"emerged":[3],"to":[4,157,191,212,236],"eliminate":[5],"the":[6,9,14,20,36,41,57,65,71,78,93,144,160,200,214,219],"reliance":[7],"on":[8,30,185,226],"central":[10],"server":[11],"and":[12,19,53,116,133,166,172,222,229,251],"address":[13,91],"single":[15],"point":[16],"of":[17,43,67,74,86,104,194,216],"failure":[18],"network":[21,54],"bottleneck":[22],"in":[23,49,143,218,248,257],"centralized":[24],"learning.":[26],"However,":[27],"existing":[28],"works":[29],"decentralized":[31,58,145,220],"suffer":[34],"from":[35],"following":[37],"three":[38],"challenges.":[39],"First,":[40],"transmission":[42],"model":[44,79],"parameters":[45],"between":[46],"devices":[47,75],"results":[48,232],"significant":[50],"bandwidth":[51],"consumption":[52],"congestion.":[55],"Second,":[56],"architecture":[59],"involves":[60],"numerous":[61],"devices,":[62],"which":[63,136],"increases":[64],"risk":[66],"poisoned":[68],"behavior.":[69],"Third,":[70],"data":[72,162,209],"heterogeneity":[73,215],"seriously":[76],"affects":[77],"accuracy.":[80],"Unfortunately,":[81],"there":[82],"is":[83],"a":[84,101,154,179,245],"lack":[85],"research":[87],"that":[88,234],"can":[89,137],"effectively":[90],"all":[92],"challenges":[94],"above.":[95],"In":[96,203],"this":[97],"article,":[98],"we":[99,148,177,206],"propose":[100],"novel":[102],"scheme":[103,183],"D":[105],"ecentralized":[106],"toward":[109],"C":[110],"ommunication":[111],"E":[112],"fficiency,":[113],"R":[114],"obustness,":[115],"P":[117],"ersonalization":[118],"(i.e.,":[119],"D-CERP).":[120],"We":[121],"aim":[122],"at":[123],"customizing":[124],"personalized":[125,155],"models":[126],"for":[127,163],"each":[128,164,195],"client":[129,165],"with":[130,153,244],"lower":[131,246],"communication":[132,174,196],"computation":[134,170],"overhead,":[135],"also":[138],"defend":[139],"against":[140],"Byzantine":[141,201,255],"attacks":[142],"scenario.":[146],"Specifically,":[147],"employ":[149],"local":[150],"sparse":[151],"training":[152],"mask":[156],"better":[158],"fit":[159],"heterogeneous":[161],"reduce":[167],"both":[168],"on-device":[169],"overhead":[171,247],"cross-device":[173],"overhead.":[175],"Besides,":[176],"apply":[178],"trusted":[180],"neighbor":[181],"selection":[182],"based":[184],"multi-armed":[186],"bandit":[187],"by":[188],"assigning":[189],"rewards":[190],"high-quality":[192],"submissions":[193],"round,":[197],"thereby":[198],"improving":[199],"robustness.":[202],"our":[204],"experiments,":[205],"utilize":[207],"two":[208],"partitioning":[210],"methods":[211],"simulate":[213],"clients":[217],"setting":[221],"conduct":[223],"exhaustive":[224],"experiments":[225],"CIFAR10,":[227],"CIFAR100,":[228],"Tiny-ImageNet.":[230],"Experimental":[231],"demonstrate":[233],"compared":[235],"several":[237],"state-of-the-art":[238],"baselines,":[239],"D-CERP":[240],"achieves":[241],"comparable":[242],"personalization":[243],"non-adversarial":[249],"settings":[250],"provides":[252],"additionally":[253],"superior":[254],"robustness":[256],"adversarial":[258],"settings.":[259]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}