{"id":"https://openalex.org/W4385815552","doi":"https://doi.org/10.1109/vtc2023-spring57618.2023.10200294","title":"FLCC: Efficient Distributed Federated Learning on IoMT over CSMA/CA","display_name":"FLCC: Efficient Distributed Federated Learning on IoMT over CSMA/CA","publication_year":2023,"publication_date":"2023-06-01","ids":{"openalex":"https://openalex.org/W4385815552","doi":"https://doi.org/10.1109/vtc2023-spring57618.2023.10200294"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2023-spring57618.2023.10200294","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2023-spring57618.2023.10200294","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)","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/A5101655399","display_name":"Abdelaziz Salama","orcid":"https://orcid.org/0000-0002-3339-8292"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Abdelaziz Salama","raw_affiliation_strings":["University of Leeds,School of Electrical and Electronic Engineering,Leeds,UK","School of Electrical and Electronic Engineering, University of Leeds, Leeds, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Leeds,School of Electrical and Electronic Engineering,Leeds,UK","institution_ids":["https://openalex.org/I130828816"]},{"raw_affiliation_string":"School of Electrical and Electronic Engineering, University of Leeds, Leeds, UK","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011903629","display_name":"Syed Ali Raza Zaidi","orcid":"https://orcid.org/0000-0003-1969-3727"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Syed Ali Zaidi","raw_affiliation_strings":["University of Leeds,School of Electrical and Electronic Engineering,Leeds,UK","School of Electrical and Electronic Engineering, University of Leeds, Leeds, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Leeds,School of Electrical and Electronic Engineering,Leeds,UK","institution_ids":["https://openalex.org/I130828816"]},{"raw_affiliation_string":"School of Electrical and Electronic Engineering, University of Leeds, Leeds, UK","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084710654","display_name":"Des McLernon","orcid":"https://orcid.org/0000-0001-8278-6171"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Des McLernon","raw_affiliation_strings":["University of Leeds,School of Electrical and Electronic Engineering,Leeds,UK","School of Electrical and Electronic Engineering, University of Leeds, Leeds, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Leeds,School of Electrical and Electronic Engineering,Leeds,UK","institution_ids":["https://openalex.org/I130828816"]},{"raw_affiliation_string":"School of Electrical and Electronic Engineering, University of Leeds, Leeds, UK","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001159579","display_name":"Mohammed M. H. Qazzaz","orcid":"https://orcid.org/0000-0002-7048-2960"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mohammed M. H. Qazzaz","raw_affiliation_strings":["University of Leeds,School of Electrical and Electronic Engineering,Leeds,UK","School of Electrical and Electronic Engineering, University of Leeds, Leeds, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Leeds,School of Electrical and Electronic Engineering,Leeds,UK","institution_ids":["https://openalex.org/I130828816"]},{"raw_affiliation_string":"School of Electrical and Electronic Engineering, University of Leeds, Leeds, UK","institution_ids":["https://openalex.org/I130828816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1379,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.79468023,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11158","display_name":"Wireless Networks and Protocols","score":0.9990000128746033,"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":0.9990000128746033,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9983000159263611,"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9909999966621399,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.869504451751709},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.6075410842895508},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6016315221786499},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.5714880228042603},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.4844813048839569},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4628775119781494},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.453390896320343},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.44722357392311096},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.4380253851413727},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.43076881766319275},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.280262291431427}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.869504451751709},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6075410842895508},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6016315221786499},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5714880228042603},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.4844813048839569},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4628775119781494},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.453390896320343},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.44722357392311096},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.4380253851413727},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.43076881766319275},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.280262291431427},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2023-spring57618.2023.10200294","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2023-spring57618.2023.10200294","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1536492898","display_name":null,"funder_award_id":"EP/S016813/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G440827853","display_name":null,"funder_award_id":"EP/Y037421/1","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W594393689","https://openalex.org/W1964606336","https://openalex.org/W1976285638","https://openalex.org/W2048659471","https://openalex.org/W2137775453","https://openalex.org/W2145873277","https://openalex.org/W2162598825","https://openalex.org/W2479827596","https://openalex.org/W2920827296","https://openalex.org/W2997604048","https://openalex.org/W3018775395","https://openalex.org/W4214717370","https://openalex.org/W4318619660","https://openalex.org/W6728757088"],"related_works":["https://openalex.org/W2077896446","https://openalex.org/W2383532021","https://openalex.org/W1485630101","https://openalex.org/W2498017833","https://openalex.org/W4297909323","https://openalex.org/W2171730362","https://openalex.org/W112744582","https://openalex.org/W2130966263","https://openalex.org/W3083410466","https://openalex.org/W2362621041"],"abstract_inverted_index":{"Federated":[0],"Learning":[1],"(FL)":[2],"has":[3],"emerged":[4],"as":[5,35],"a":[6,36,94,136,222,254],"promising":[7],"approach":[8,220,234],"for":[9,134,226],"privacy":[10],"preservation,":[11],"allowing":[12],"sharing":[13],"of":[14,38,68,83,139,155,192,202,208,242],"the":[15,21,26,66,81,131,142,153,174,179,187,197,214,218,232,236,245],"model":[16,114,205],"parameters":[17,177],"between":[18,54],"users":[19],"and":[20,56,70,121,125,168,199,210,249],"cloud":[22],"server":[23,167],"rather":[24],"than":[25],"raw":[27],"local":[28],"data.":[29],"FL":[30,49,84,110,140,166,204,238],"approaches":[31],"have":[32],"been":[33],"adopted":[34],"cornerstone":[37],"distributed":[39,62,137,203],"machine":[40],"learning":[41,71],"(ML)":[42],"to":[43,92,105,117,129,172,185],"solve":[44],"several":[45],"complex":[46],"use":[47],"cases.":[48],"presents":[50],"an":[51,73,86,165],"interesting":[52],"interplay":[53],"communication":[55],"ML":[57],"performance":[58,82,201,227],"when":[59],"implemented":[60],"over":[61,98,111],"wireless":[63,143],"nodes.":[64],"Both":[65],"dynamics":[67],"networking":[69,215],"play":[72],"important":[74],"role.":[75],"In":[76],"this":[77],"article,":[78],"we":[79],"investigate":[80],"on":[85,152],"application":[87],"that":[88,231],"might":[89],"be":[90],"used":[91],"improve":[93,130],"remote":[95],"healthcare":[96],"system":[97],"ad":[99],"hoc":[100],"networks":[101],"which":[102],"employ":[103],"CSMA/CA":[104,112],"schedule":[106],"its":[107],"transmissions.":[108],"Our":[109],"(FLCC)":[113],"is":[115,150],"designed":[116],"eliminate":[118],"untrusted":[119],"devices":[120],"harness":[122],"frequency":[123,148],"reuse":[124],"spatial":[126,156],"clustering":[127,157],"techniques":[128],"throughput":[132],"required":[133],"coordinating":[135],"implementation":[138],"in":[141,206,240,253],"network.In":[144],"our":[145],"proposed":[146,219,233],"model,":[147],"allocation":[149],"performed":[151,158],"basis":[154],"using":[159,221],"virtual":[160],"cells.":[161],"Each":[162],"cell":[163],"assigns":[164],"dedicated":[169],"carrier":[170],"frequencies":[171],"exchange":[173],"updated":[175],"model\u2019s":[176],"within":[178],"cell.":[180],"We":[181,229],"present":[182],"two":[183],"metrics":[184],"evaluate":[186],"network":[188],"performance:":[189],"1)":[190],"probability":[191],"successful":[193],"transmission":[194],"while":[195,212],"minimizing":[196],"interference,":[198],"2)":[200],"terms":[207,241],"accuracy":[209,252],"loss":[211],"considering":[213],"dynamics.We":[216],"benchmark":[217],"well-known":[223],"MNIST":[224],"dataset":[225],"evaluation.":[228],"demonstrate":[230],"outperforms":[235],"baseline":[237],"algorithms":[239],"explicitly":[243],"defining":[244],"chosen":[246],"users\u2019":[247],"criteria":[248],"achieving":[250],"high":[251],"robust":[255],"network.":[256]},"counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}