{"id":"https://openalex.org/W4392125018","doi":"https://doi.org/10.1109/twc.2024.3366393","title":"Robust Federated Learning for Unreliable and Resource-Limited Wireless Networks","display_name":"Robust Federated Learning for Unreliable and Resource-Limited Wireless Networks","publication_year":2024,"publication_date":"2024-02-23","ids":{"openalex":"https://openalex.org/W4392125018","doi":"https://doi.org/10.1109/twc.2024.3366393"},"language":"en","primary_location":{"id":"doi:10.1109/twc.2024.3366393","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2024.3366393","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"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 Transactions on Wireless Communications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/98024/2/Zhixiong_TWC_23_2.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052435920","display_name":"Zhixiong Chen","orcid":"https://orcid.org/0000-0003-4183-8857"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Zhixiong Chen","raw_affiliation_strings":["School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041458779","display_name":"Wenqiang Yi","orcid":"https://orcid.org/0000-0003-4732-5040"},"institutions":[{"id":"https://openalex.org/I110002522","display_name":"University of Essex","ror":"https://ror.org/02nkf1q06","country_code":"GB","type":"education","lineage":["https://openalex.org/I110002522"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Wenqiang Yi","raw_affiliation_strings":["School of Computer Science and Electronic Engineering, University of Essex, Colchester, U.K"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Electronic Engineering, University of Essex, Colchester, U.K","institution_ids":["https://openalex.org/I110002522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076863392","display_name":"Yuanwei Liu","orcid":"https://orcid.org/0000-0002-6389-8941"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yuanwei Liu","raw_affiliation_strings":["School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002265731","display_name":"Arumugam Nallanathan","orcid":"https://orcid.org/0000-0001-8337-5884"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Arumugam Nallanathan","raw_affiliation_strings":["School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5052435920"],"corresponding_institution_ids":["https://openalex.org/I166337079"],"apc_list":null,"apc_paid":null,"fwci":8.8599,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.98111275,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"23","issue":"8","first_page":"9793","last_page":"9809"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9997000098228455,"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":0.9997000098228455,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9829999804496765,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9793999791145325,"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":0.7965641021728516},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.7592811584472656},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.5451135635375977},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5219149589538574},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.4778187572956085},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.4671815037727356},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.4475100636482239},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.42128533124923706},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.33159157633781433},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.3297271728515625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3275849223136902},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3269762396812439},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2900407016277313},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.25850439071655273},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09236928820610046},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08559957146644592}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7965641021728516},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.7592811584472656},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.5451135635375977},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5219149589538574},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.4778187572956085},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.4671815037727356},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.4475100636482239},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.42128533124923706},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.33159157633781433},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3297271728515625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3275849223136902},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3269762396812439},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2900407016277313},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.25850439071655273},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09236928820610046},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08559957146644592},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/twc.2024.3366393","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2024.3366393","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"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 Transactions on Wireless Communications","raw_type":"journal-article"},{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/98024","is_oa":true,"landing_page_url":"https://qmro.qmul.ac.uk/xmlui/handle/123456789/98024","pdf_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/98024/2/Zhixiong_TWC_23_2.pdf","source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/98024","is_oa":true,"landing_page_url":"https://qmro.qmul.ac.uk/xmlui/handle/123456789/98024","pdf_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/98024/2/Zhixiong_TWC_23_2.pdf","source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4286683158","display_name":null,"funder_award_id":"EP/W034786/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G4656405983","display_name":"Scalable Hybrid Architecture for Wireless Collaborative Federated Learning (SHAFT)","funder_award_id":"EP/W034786/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G5052111458","display_name":"Smart Solutions Towards Cellular-Connected Unmanned Aerial Vehicles System (AUTONOMY)","funder_award_id":"EP/W004100/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8914584498","display_name":null,"funder_award_id":"EP/W004100/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392125018.pdf","grobid_xml":"https://content.openalex.org/works/W4392125018.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W2126060647","https://openalex.org/W2786694233","https://openalex.org/W2981138228","https://openalex.org/W2988480584","https://openalex.org/W3006919779","https://openalex.org/W3090615085","https://openalex.org/W3093755649","https://openalex.org/W3108590825","https://openalex.org/W3109847748","https://openalex.org/W3111182214","https://openalex.org/W3118621910","https://openalex.org/W3119680904","https://openalex.org/W3126228234","https://openalex.org/W3163739719","https://openalex.org/W3174661481","https://openalex.org/W3177095755","https://openalex.org/W3183341588","https://openalex.org/W3189317289","https://openalex.org/W3192649393","https://openalex.org/W3194020564","https://openalex.org/W3203503583","https://openalex.org/W3210975694","https://openalex.org/W3212431702","https://openalex.org/W3214083506","https://openalex.org/W3214330255","https://openalex.org/W4206732539","https://openalex.org/W4224326911","https://openalex.org/W4226072204","https://openalex.org/W4226502413","https://openalex.org/W4285230205","https://openalex.org/W4288090939","https://openalex.org/W4292348059","https://openalex.org/W4361857829","https://openalex.org/W4379742958","https://openalex.org/W4385078862","https://openalex.org/W6637373629","https://openalex.org/W6728757088","https://openalex.org/W6759238902","https://openalex.org/W6765541894","https://openalex.org/W6765807149","https://openalex.org/W6801097711","https://openalex.org/W6809922462"],"related_works":["https://openalex.org/W4386603768","https://openalex.org/W3166492421","https://openalex.org/W3176282186","https://openalex.org/W4387489555","https://openalex.org/W2973622361","https://openalex.org/W4293053895","https://openalex.org/W4288024917","https://openalex.org/W2983364019","https://openalex.org/W2998183476","https://openalex.org/W3215372595"],"abstract_inverted_index":{"Federated":[0],"learning":[1,9,19,75,138],"(FL)":[2],"is":[3,97,206,238],"an":[4,201],"efficient":[5],"and":[6,69,151,178,220,244,254,264],"privacy-preserving":[7],"distributed":[8],"paradigm":[10],"that":[11,96,125],"enables":[12],"massive":[13],"edge":[14,107],"devices":[15,71,177],"to":[16,29,72,99,156,208,230,240],"train":[17],"machine":[18],"models":[20],"collaboratively.":[21],"Although":[22],"various":[23],"communication":[24],"schemes":[25],"have":[26],"been":[27],"proposed":[28,227,251],"expedite":[30],"the":[31,38,64,74,81,88,106,114,119,127,137,158,166,171,180,196,223,226,231,250,260],"FL":[32,54,57,232],"process":[33],"in":[34,87,262],"resource-limited":[35],"wireless":[36,42,115],"networks,":[37],"unreliable":[39],"nature":[40],"of":[41,67,77,105,122,130,225],"channels":[43],"was":[44],"less":[45],"explored.":[46],"In":[47,248],"this":[48],"work,":[49],"we":[50,91,143,168,193],"propose":[51],"a":[52,93,145,185],"novel":[53],"framework,":[55],"namely":[56],"with":[58],"gradient":[59,235],"recycling":[60],"(FL-GR),":[61],"which":[62,205],"recycles":[63],"historical":[65],"gradients":[66],"unscheduled":[68],"transmission-failure":[70],"improve":[73,136],"performance":[76],"FL.":[78],"To":[79,164],"reduce":[80],"hardware":[82],"requirements":[83],"for":[84,160,176],"implementing":[85],"FL-GR":[86,95,100,237],"practical":[89],"network,":[90],"develop":[92],"memory-friendly":[94],"equivalent":[98,202],"but":[101],"requires":[102],"low":[103],"memory":[104],"server.":[108],"We":[109],"then":[110],"theoretically":[111],"analyze":[112],"how":[113],"network":[116],"parameters":[117],"affect":[118],"convergence":[120,246,265],"bound":[121],"FL-GR,":[123],"revealing":[124],"minimizing":[126],"average":[128],"square":[129],"local":[131],"gradients\u2019":[132],"staleness":[133],"(AS-GS)":[134],"helps":[135],"performance.":[139],"Based":[140],"on":[141,213],"this,":[142],"formulate":[144],"joint":[146],"device":[147,252],"scheduling,":[148],"resource":[149,255],"allocation":[150,256],"power":[152,173],"control":[153,174],"optimization":[154],"problem":[155,183,199],"minimize":[157],"AS-GS":[159,181],"global":[161],"loss":[162],"minimization.":[163],"solve":[165],"problem,":[167],"first":[169],"derive":[170],"optimal":[172],"policy":[175],"transform":[179,195],"minimization":[182],"into":[184,200],"bipartite":[186,197],"graph":[187],"matching":[188,198],"problem.":[189],"Through":[190],"detailed":[191],"analysis,":[192],"further":[194],"linear":[203],"program":[204],"convenient":[207],"solve.":[209],"Extensive":[210],"simulation":[211],"results":[212],"three":[214],"real-world":[215],"datasets":[216],"(i.e.,":[217],"MNIST,":[218],"CIFAR-10,":[219],"CIFAR-100)":[221],"verified":[222],"efficacy":[224],"methods.":[228],"Compared":[229],"algorithms":[233],"without":[234],"recycling,":[236],"able":[239],"achieve":[241],"higher":[242],"accuracy":[243,263],"fast":[245],"speed.":[247,266],"addition,":[249],"scheduling":[253],"algorithm":[257],"also":[258],"outperforms":[259],"benchmarks":[261]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":9}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}