{"id":"https://openalex.org/W4410358918","doi":"https://doi.org/10.1109/icoin63865.2025.10993096","title":"FedISAC: A Federated Learning Framework with Integrated Sensing and Communication for 6G mmWave Networks","display_name":"FedISAC: A Federated Learning Framework with Integrated Sensing and Communication for 6G mmWave Networks","publication_year":2025,"publication_date":"2025-01-15","ids":{"openalex":"https://openalex.org/W4410358918","doi":"https://doi.org/10.1109/icoin63865.2025.10993096"},"language":"en","primary_location":{"id":"doi:10.1109/icoin63865.2025.10993096","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icoin63865.2025.10993096","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Information Networking (ICOIN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5021511574","display_name":"Apurba Adhikary","orcid":"https://orcid.org/0000-0003-3970-1878"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Apurba Adhikary","raw_affiliation_strings":["Kyung Hee University,Dept. of CSE,Yongin-si,Republic of Korea,17104"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyung Hee University,Dept. of CSE,Yongin-si,Republic of Korea,17104","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082747877","display_name":"Girum Fitihamlak Ejigu","orcid":"https://orcid.org/0000-0002-1080-653X"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Girum Fitihamlak Ejigu","raw_affiliation_strings":["Kyung Hee University,Dept. of CSE,Yongin-si,Republic of Korea,17104"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyung Hee University,Dept. of CSE,Yongin-si,Republic of Korea,17104","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100752291","display_name":"Kitae Kim","orcid":"https://orcid.org/0000-0002-4764-6787"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kitae Kim","raw_affiliation_strings":["Kyung Hee University,Dept. of CSE,Yongin-si,Republic of Korea,17104"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyung Hee University,Dept. of CSE,Yongin-si,Republic of Korea,17104","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117540367","display_name":"Min Kyu Suh","orcid":null},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Min Kyu Suh","raw_affiliation_strings":["Kyung Hee University,Yongin-si,Republic of Korea,17104"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyung Hee University,Yongin-si,Republic of Korea,17104","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034052371","display_name":"Choong Seon Hong","orcid":"https://orcid.org/0000-0003-3484-7333"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Choong Seon Hong","raw_affiliation_strings":["Kyung Hee University,Dept. of CSE,Yongin-si,Republic of Korea,17104"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyung Hee University,Dept. of CSE,Yongin-si,Republic of Korea,17104","institution_ids":["https://openalex.org/I35928602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I35928602"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"45","last_page":"50"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9940000176429749,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9940000176429749,"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":0.9916999936103821,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9909999966621399,"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":0.7382172346115112},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.32355645298957825}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7382172346115112},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.32355645298957825}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icoin63865.2025.10993096","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icoin63865.2025.10993096","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Information Networking (ICOIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321332","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1997834106","https://openalex.org/W3185397499","https://openalex.org/W4214898014","https://openalex.org/W4321488547","https://openalex.org/W4381745001","https://openalex.org/W4383112881","https://openalex.org/W4388820447","https://openalex.org/W4399485365","https://openalex.org/W4400234146","https://openalex.org/W4401665468","https://openalex.org/W4402155923","https://openalex.org/W4404787909","https://openalex.org/W6728757088","https://openalex.org/W6759127422"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"The":[0,72],"6G":[1],"communication":[2,48],"networks":[3],"are":[4],"designed":[5],"to":[6,63,87,106,137,147],"provide":[7],"secure":[8],"communication,":[9],"higher":[10],"data":[11],"throughput,":[12],"minimized":[13],"power":[14,86,114,146],"consumption,":[15],"improved":[16,118],"system":[17],"performance,":[18],"and":[19,29,47,80,116,122,142,172,175,188,198],"enhanced":[20],"device":[21],"integration,":[22],"paving":[23],"the":[24,44,51,64,82,88,93,98,108,139,144],"way":[25],"for":[26],"more":[27],"intelligent":[28],"efficient":[30],"networking":[31],"systems.":[32],"To":[33],"achieve":[34],"these":[35],"goals,":[36],"an":[37],"AI":[38,127,161],"framework":[39,128,162],"is":[40,104,129],"proposed":[41],"that":[42,158],"integrates":[43],"integrated":[45],"sensing":[46,61,78,95,153],"(ISAC)":[49],"with":[50],"federated":[52,133,194],"learning":[53],"(FL)":[54],"scheme,":[55],"where":[56],"local":[57,70,77,89,99,148,200],"devices":[58,90,149],"send":[59],"their":[60,152],"information":[62,79,96],"global":[65,109],"base":[66],"station":[67],"(GBS)":[68],"after":[69],"training.":[71],"GBS":[73],"then":[74],"aggregates":[75],"this":[76],"allocates":[81],"desired":[83,113],"aggregated":[84,94],"average":[85,199],"based":[91,150],"on":[92,151],"of":[97,167,179],"devices.":[100],"An":[101,126],"optimization":[102],"problem":[103,141],"formulated":[105,140],"minimize":[107],"model":[110],"loss,":[111],"ensure":[112],"allocation,":[115],"maintain":[117],"signal-to-interference-plus-noise":[119],"ratio":[120],"(SINR)":[121],"achievable":[123],"rate":[124],"(AR).":[125],"proposed,":[130],"utilizing":[131],"a":[132],"averaging":[134],"(FedAvg)":[135],"algorithm":[136],"address":[138],"allocate":[143],"necessary":[145],"information.":[154],"Simulation":[155],"results":[156],"reveal":[157],"our":[159],"FedAvg-based":[160],"achieves":[163],"cumulative":[164],"SINR":[165],"improvements":[166],"$1.02":[168],"\\mathrm{~dB},":[169],"1.01":[170,173],"\\mathrm{~dB}$,":[171],"dB,":[174],"$A":[176],"R$":[177],"enhancements":[178],"1.71":[180],"$\\mathrm{bps}":[181],"/":[182,186,191],"\\mathrm{Hz},":[183],"1.70":[184],"\\mathrm{bps}":[185,190],"\\mathrm{Hz}$,":[187,192],"$1.70":[189],"outperforming":[193],"proximal,":[195],"centralized":[196],"training,":[197],"training":[201],"methods,":[202],"respectively.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
