{"id":"https://openalex.org/W7117497033","doi":"https://doi.org/10.1109/ipccc66453.2025.11304693","title":"Task-Oriented Semantic Communication Via Federated Learning","display_name":"Task-Oriented Semantic Communication Via Federated Learning","publication_year":2025,"publication_date":"2025-11-15","ids":{"openalex":"https://openalex.org/W7117497033","doi":"https://doi.org/10.1109/ipccc66453.2025.11304693"},"language":null,"primary_location":{"id":"doi:10.1109/ipccc66453.2025.11304693","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipccc66453.2025.11304693","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Performance, Computing, and Communications Conference (IPCCC)","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/A5058862308","display_name":"Zhe Xiang","orcid":"https://orcid.org/0009-0004-1202-3530"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Xiang","raw_affiliation_strings":["School of Electrical and Information Engineering, Jiangsu University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Jiangsu University","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075665180","display_name":"Yuandi Li","orcid":"https://orcid.org/0000-0002-2506-1673"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]},{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuandi Li","raw_affiliation_strings":["School of Electrical and Information Engineering, Jiangsu University","Zhejiang Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Jiangsu University","institution_ids":["https://openalex.org/I115592961"]},{"raw_affiliation_string":"Zhejiang Lab","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101797350","display_name":"Fei Yu","orcid":"https://orcid.org/0000-0003-0193-1790"},"institutions":[{"id":"https://openalex.org/I2898894","display_name":"Liaoning University of Technology","ror":"https://ror.org/05ay23762","country_code":"CN","type":"education","lineage":["https://openalex.org/I2898894"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Yu","raw_affiliation_strings":["Liaoning University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Liaoning University of Technology","institution_ids":["https://openalex.org/I2898894"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101846444","display_name":"Yanhao Wang","orcid":"https://orcid.org/0000-0002-6990-2972"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanhao Wang","raw_affiliation_strings":["School of Data Science and Engineering, East China Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Data Science and Engineering, East China Normal University","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074721358","display_name":"Yuehua Li","orcid":"https://orcid.org/0000-0001-5631-885X"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]},{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuehua Li","raw_affiliation_strings":["School of Electrical and Information Engineering, Jiangsu University","Zhejiang Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Jiangsu University","institution_ids":["https://openalex.org/I115592961"]},{"raw_affiliation_string":"Zhejiang Lab","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5121461249","display_name":"Zeyang Rao","orcid":null},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeyang Rao","raw_affiliation_strings":["School of Electrical and Information Engineering, Jiangsu University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Jiangsu University","institution_ids":["https://openalex.org/I115592961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.78143446,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.29339998960494995,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.29339998960494995,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.10189999639987946,"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":0.05820000171661377,"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/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.42750000953674316},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.42489999532699585},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.4090999960899353},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.4050000011920929},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.40119999647140503},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.37940001487731934},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.3752000033855438},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.367900013923645},{"id":"https://openalex.org/keywords/semantic-heterogeneity","display_name":"Semantic heterogeneity","score":0.3452000021934509}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8531000018119812},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4765999913215637},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.42750000953674316},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.42489999532699585},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.4090999960899353},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.4050000011920929},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.40119999647140503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39239999651908875},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.37940001487731934},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.3752000033855438},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.367900013923645},{"id":"https://openalex.org/C2778180026","wikidata":"https://www.wikidata.org/wiki/Q18378163","display_name":"Semantic heterogeneity","level":4,"score":0.3452000021934509},{"id":"https://openalex.org/C103692084","wikidata":"https://www.wikidata.org/wiki/Q1765824","display_name":"Semantic grid","level":3,"score":0.34119999408721924},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.33799999952316284},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.3296000063419342},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.30889999866485596},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30399999022483826},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2953999936580658},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2937999963760376},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.2937000095844269},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.28780001401901245},{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.28139999508857727},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.28060001134872437},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.27489998936653137},{"id":"https://openalex.org/C138020889","wikidata":"https://www.wikidata.org/wiki/Q2349659","display_name":"Collaborative learning","level":2,"score":0.2689000070095062},{"id":"https://openalex.org/C158156997","wikidata":"https://www.wikidata.org/wiki/Q1416645","display_name":"Models of communication","level":2,"score":0.26840001344680786},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.26570001244544983},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.2554999887943268},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipccc66453.2025.11304693","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipccc66453.2025.11304693","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Performance, Computing, and Communications Conference (IPCCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3780398921","display_name":null,"funder_award_id":"025-MS-163","funder_id":"https://openalex.org/F4320323086","funder_display_name":"Natural Science Foundation of Liaoning Province"}],"funders":[{"id":"https://openalex.org/F4320323086","display_name":"Natural Science Foundation of Liaoning Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2946889564","https://openalex.org/W2995022099","https://openalex.org/W3021654819","https://openalex.org/W3080404596","https://openalex.org/W3107617916","https://openalex.org/W3113050802","https://openalex.org/W3156226702","https://openalex.org/W3198770621","https://openalex.org/W3214462705","https://openalex.org/W4210624746","https://openalex.org/W4291972732","https://openalex.org/W4312050893","https://openalex.org/W4313387436","https://openalex.org/W4315630799","https://openalex.org/W4322704148","https://openalex.org/W4386212321","https://openalex.org/W4394627253","https://openalex.org/W4400409682","https://openalex.org/W4400679606","https://openalex.org/W4400887755","https://openalex.org/W4403635731","https://openalex.org/W4406089862","https://openalex.org/W4406610673","https://openalex.org/W4406858359"],"related_works":[],"abstract_inverted_index":{"The":[0,111],"transition":[1],"from":[2],"5":[3,7],"G":[4,8],"to":[5,136,162,164,191],"beyond":[6],"(B5G)":[9],"networks":[10],"is":[11],"accelerating":[12],"the":[13,94,120,132],"development":[14],"of":[15,96],"ubiquitous":[16],"and":[17,83,104,122,140,146,156,182],"intelligent":[18],"IoT":[19],"applications.":[20],"Semantic":[21],"communication":[22,62,107,188],"(SemCom)":[23],"has":[24],"emerged":[25],"as":[26],"a":[27,48,58,114],"transformative":[28],"paradigm":[29],"that":[30,64,174],"prioritizes":[31],"task-relevant":[32],"meaning":[33],"over":[34],"bit-level":[35],"accuracy.":[36],"However,":[37],"deploying":[38],"computationally":[39],"intensive":[40],"semantic":[41,61,106,138,154],"models":[42,89,124],"on":[43,169],"resource-constrained":[44],"end":[45,84,121],"devices":[46],"presents":[47],"major":[49],"challenge.":[50],"To":[51,142],"address":[52],"this":[53],"issue,":[54],"we":[55],"propose":[56],"FedSC,":[57],"new":[59],"task-oriented":[60],"framework":[63,112],"enables":[65],"end-edge":[66],"collaborative":[67],"learning":[68,72,116],"by":[69,131],"integrating":[70],"federated":[71],"with":[73,93],"knowledge":[74],"distillation.":[75],"FedSC":[76,148,175],"distributes":[77],"model":[78],"training":[79],"between":[80],"edge":[81,99,123],"servers":[82],"devices,":[85],"where":[86],"lightweight":[87],"terminal":[88],"are":[90],"collaboratively":[91],"optimized":[92],"assistance":[95],"more":[97],"capable":[98],"nodes,":[100],"thus":[101],"ensuring":[102],"efficient":[103],"privacy-preserving":[105],"across":[108],"heterogeneous":[109],"environments.":[110],"adopts":[113],"hierarchical":[115],"architecture":[117],"in":[118,179],"which":[119],"cooperate":[125],"via":[126],"dynamic":[127],"feature":[128],"alignment,":[129],"guided":[130],"information":[133],"bottleneck":[134],"principle":[135],"balance":[137],"fidelity":[139],"compression.":[141],"further":[143],"enhance":[144],"efficiency":[145],"robustness,":[147],"incorporates":[149],"Gumbel-Softmax":[150],"discretization":[151],"for":[152],"bandwidth-efficient":[153],"representation":[155],"introduces":[157],"an":[158],"SNR-adaptive":[159],"inference":[160],"mechanism":[161],"adapt":[163],"fluctuating":[165],"wireless":[166],"conditions.":[167],"Experiments":[168],"Raspberry":[170],"Pi":[171],"clusters":[172],"show":[173],"achieves":[176],"improved":[177],"performance":[178],"image":[180],"classification":[181],"reconstruction":[183],"tasks":[184],"while":[185],"significantly":[186],"reducing":[187],"overhead":[189],"compared":[190],"existing":[192],"baseline":[193],"approaches.":[194]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-12-29T00:00:00"}
