{"id":"https://openalex.org/W7131285515","doi":"https://doi.org/10.1109/jiot.2026.3667818","title":"FedOC: Multiserver FL With Overlapping Client Relays in Wireless Edge Networks","display_name":"FedOC: Multiserver FL With Overlapping Client Relays in Wireless Edge Networks","publication_year":2026,"publication_date":"2026-02-24","ids":{"openalex":"https://openalex.org/W7131285515","doi":"https://doi.org/10.1109/jiot.2026.3667818"},"language":null,"primary_location":{"id":"doi:10.1109/jiot.2026.3667818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2026.3667818","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Internet of Things Journal","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/A5085516014","display_name":"Yun Ji","orcid":"https://orcid.org/0000-0002-0369-8745"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yun Ji","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-0369-8745","affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100662059","display_name":"Zeyu Chen","orcid":"https://orcid.org/0000-0002-0431-9903"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeyu Chen","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126714767","display_name":"Xiaoxiong Zhong","orcid":null},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxiong Zhong","raw_affiliation_strings":["Department of New Networks, Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-9307-6247","affiliations":[{"raw_affiliation_string":"Department of New Networks, Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126687694","display_name":"Yanan Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yanan Ma","raw_affiliation_strings":["Hong Kong JC STEM Lab of Smart City, Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong"],"raw_orcid":"https://orcid.org/0009-0007-2945-5921","affiliations":[{"raw_affiliation_string":"Hong Kong JC STEM Lab of Smart City, Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126666508","display_name":"Sheng Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Zhang","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-2170-2602","affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016290340","display_name":"Yuguang Fang","orcid":"https://orcid.org/0000-0002-1079-3871"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yuguang Fang","raw_affiliation_strings":["Hong Kong JC STEM Lab of Smart City, Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-1079-3871","affiliations":[{"raw_affiliation_string":"Hong Kong JC STEM Lab of Smart City, Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5085516014"],"corresponding_institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25778358,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"11","first_page":"23085","last_page":"23099"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11158","display_name":"Wireless Networks and Protocols","score":0.16019999980926514,"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"}},"topics":[{"id":"https://openalex.org/T11158","display_name":"Wireless Networks and Protocols","score":0.16019999980926514,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.1437000036239624,"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/T12079","display_name":"IoT Networks and Protocols","score":0.09759999811649323,"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/server","display_name":"Server","score":0.6661999821662903},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6291000247001648},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6215999722480774},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5795999765396118},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.5412999987602234},{"id":"https://openalex.org/keywords/relay","display_name":"Relay","score":0.5023000240325928},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.4880000054836273},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.47440001368522644}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8920000195503235},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.6661999821662903},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6291000247001648},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6215999722480774},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6187000274658203},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5795999765396118},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5658000111579895},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5412999987602234},{"id":"https://openalex.org/C2778156585","wikidata":"https://www.wikidata.org/wiki/Q174053","display_name":"Relay","level":3,"score":0.5023000240325928},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.4880000054836273},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.47440001368522644},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.44440001249313354},{"id":"https://openalex.org/C82578977","wikidata":"https://www.wikidata.org/wiki/Q16773055","display_name":"Data aggregator","level":3,"score":0.4417000114917755},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.40720000863075256},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.40689998865127563},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3741999864578247},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.3377000093460083},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.2955000102519989},{"id":"https://openalex.org/C2776104089","wikidata":"https://www.wikidata.org/wiki/Q15894079","display_name":"Location awareness","level":2,"score":0.27880001068115234}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2026.3667818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2026.3667818","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4163776934146881,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320329815","display_name":"Hong Kong Government","ror":"https://ror.org/034179816"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Multi-server":[0],"federated":[1],"learning":[2],"(FL)":[3],"has":[4],"emerged":[5],"as":[6,100,112],"a":[7,81,212],"promising":[8],"paradigm":[9],"to":[10,39,50,61,91,105,210],"alleviate":[11],"the":[12,26,148,190,207],"communication":[13],"bottlenecks":[14],"of":[15,29],"single-server":[16],"FL":[17,47,84],"by":[18,194],"exploiting":[19],"edge-level":[20],"aggregation.":[21],"In":[22,94,179],"realistic":[23],"dense":[24],"deployments,":[25],"coverage":[27],"regions":[28],"neighboring":[30],"edge":[31,120],"servers":[32],"(ESs)":[33],"often":[34],"overlap,":[35],"enabling":[36],"some":[37],"clients":[38,55,90,97,103,115],"communicate":[40],"with":[41,141,201],"multiple":[42],"ESs.":[43,135],"However,":[44],"existing":[45],"multi-server":[46,83],"schemes":[48],"fail":[49],"fully":[51],"leverage":[52],"such":[53],"overlapping":[54,89,96,102,114],"for":[56,122,150],"efficient":[57],"inter-server":[58],"collaboration,":[59],"leading":[60],"excessive":[62],"reliance":[63],"on":[64,126,160,197],"cloud":[65,152],"aggregation":[66,140,153],"and":[67,163,172,185],"slow":[68],"convergence":[69,171],"under":[70,181],"heterogeneous":[71],"data":[72,132,183],"distributions.":[73],"To":[74],"address":[75],"this":[76],"challenge,":[77],"we":[78],"propose":[79],"FedOC,":[80,95],"novel":[82],"framework":[85],"that":[86,117,166],"explicitly":[87],"exploits":[88],"accelerate":[92],"training.":[93],"can":[98],"serve":[99],"relay":[101],"(ROCs)":[104],"enable":[106],"real-time":[107],"edge-to-edge":[108],"model":[109],"relaying,":[110],"or":[111],"normal":[113],"(NOCs)":[116],"dynamically":[118],"select":[119],"models":[121],"local":[123],"training":[124,156],"based":[125],"delivery":[127],"latency,":[128],"thereby":[129],"facilitating":[130],"indirect":[131],"fusion":[133],"across":[134],"By":[136],"integrating":[137],"decentralized":[138],"inter-ES":[139],"latency-aware":[142],"client":[143],"training,":[144],"FedOC":[145,167,188],"significantly":[146,205],"reduces":[147],"need":[149],"frequent":[151],"while":[154,204],"improving":[155],"efficiency.":[157],"Extensive":[158],"experiments":[159],"MNIST,":[161],"Fashion-MNIST":[162],"CIFAR-10":[164],"demonstrate":[165],"achieves":[168],"substantially":[169],"faster":[170],"higher":[173],"final":[174,191],"accuracy":[175,193],"than":[176],"other":[177,202],"baselines.":[178],"particular,":[180],"strong":[182],"heterogeneity":[184],"cloud-free":[186],"aggregation,":[187],"improves":[189],"test":[192],"approximately":[195],"3%\u201325%":[196],"these":[198],"datasets":[199],"compared":[200],"baselines,":[203],"reducing":[206],"latency":[208],"required":[209],"reach":[211],"target":[213],"accuracy.":[214]},"counts_by_year":[],"updated_date":"2026-05-23T06:10:36.450269","created_date":"2026-02-25T00:00:00"}