{"id":"https://openalex.org/W4412610637","doi":"https://doi.org/10.1109/hpcc64274.2024.00060","title":"FedTA: Unsupervised Federated Prototype Learning with Temperature Adaptation","display_name":"FedTA: Unsupervised Federated Prototype Learning with Temperature Adaptation","publication_year":2024,"publication_date":"2024-12-13","ids":{"openalex":"https://openalex.org/W4412610637","doi":"https://doi.org/10.1109/hpcc64274.2024.00060"},"language":"en","primary_location":{"id":"doi:10.1109/hpcc64274.2024.00060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcc64274.2024.00060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on High Performance Computing and Communications (HPCC)","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/A5101980823","display_name":"Juan Zhao","orcid":"https://orcid.org/0000-0003-3148-4899"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Juan Zhao","raw_affiliation_strings":["HUST,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HUST,Wuhan,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033727338","display_name":"Xiaoquan Yi","orcid":"https://orcid.org/0000-0001-9846-9154"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaoquan Yi","raw_affiliation_strings":["HUST,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HUST,Wuhan,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078872109","display_name":"Renfu Li","orcid":"https://orcid.org/0000-0001-6841-024X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruixuan Li","raw_affiliation_strings":["HUST,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HUST,Wuhan,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100432131","display_name":"Yuhua Li","orcid":"https://orcid.org/0000-0001-7363-0175"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuhua Li","raw_affiliation_strings":["HUST,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HUST,Wuhan,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027119797","display_name":"Haozhao Wang","orcid":"https://orcid.org/0000-0002-7591-5315"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haozhao Wang","raw_affiliation_strings":["HUST,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HUST,Wuhan,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112070992","display_name":"Yi\u2010Chen Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yichen Li","raw_affiliation_strings":["HUST,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HUST,Wuhan,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067698200","display_name":"Zhiying Deng","orcid":"https://orcid.org/0000-0002-8557-2619"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhiying Deng","raw_affiliation_strings":["HUST,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HUST,Wuhan,China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009913507","display_name":"Z. Xu","orcid":"https://orcid.org/0000-0001-9558-1079"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zijun Xu","raw_affiliation_strings":["HUST,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HUST,Wuhan,China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":0.35602452,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"390","last_page":"397"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9624000191688538,"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":0.9624000191688538,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9158999919891357,"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":0.7706514000892639},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.752455472946167},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5495213866233826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36787837743759155},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07437056303024292}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7706514000892639},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.752455472946167},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5495213866233826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36787837743759155},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07437056303024292},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpcc64274.2024.00060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcc64274.2024.00060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on High Performance Computing and Communications (HPCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.699999988079071}],"awards":[],"funders":[{"id":"https://openalex.org/F4320318398","display_name":"Ant Group","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2112796928","https://openalex.org/W2194775991","https://openalex.org/W2541884796","https://openalex.org/W3026182744","https://openalex.org/W3131394593","https://openalex.org/W3182158470","https://openalex.org/W3204874618","https://openalex.org/W4220815778","https://openalex.org/W4283796083","https://openalex.org/W4285327149","https://openalex.org/W4312592506","https://openalex.org/W4382239439","https://openalex.org/W4386076561","https://openalex.org/W6728757088","https://openalex.org/W6743688258","https://openalex.org/W6759238902","https://openalex.org/W6763048141","https://openalex.org/W6767676916","https://openalex.org/W6779997284","https://openalex.org/W6782945521","https://openalex.org/W6795843344","https://openalex.org/W6803730191","https://openalex.org/W6842965877"],"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":{"Federated":[0,120],"Learning":[1],"(FL)":[2],"has":[3],"emerged":[4],"as":[5],"a":[6,74,115,151],"foundational":[7],"paradigm":[8],"that":[9,143],"enables":[10],"collaborative":[11],"training":[12,97],"of":[13,26,77,155],"deep":[14],"neural":[15],"networks":[16],"across":[17],"distributed":[18],"clients":[19,51],"while":[20],"ensuring":[21],"data":[22,55],"privacy.":[23],"However,":[24,73],"most":[25],"the":[27,78,148],"existing":[28],"research":[29],"primarily":[30],"concentrates":[31],"on":[32,46],"supervised":[33],"federated":[34,48],"learning":[35,61,69,80,122],"tailored":[36],"for":[37,67,82],"specific":[38],"downstream":[39],"tasks.":[40],"In":[41],"this":[42,83,111],"paper,":[43],"we":[44,93,113],"concentrate":[45],"unsupervised":[47,68,119],"learning,":[49],"where":[50],"collaborate":[52],"to":[53,157],"identify":[54],"patterns,":[56],"structures,":[57],"or":[58],"representations.":[59],"Contrastive":[60],"methods":[62],"have":[63],"proven":[64],"highly":[65],"effective":[66],"in":[70,106],"server-based":[71],"environments.":[72],"straightforward":[75,130],"adaptation":[76],"contrastive":[79],"approach":[81,146],"setting":[84],"falls":[85],"short.":[86],"Upon":[87],"analyzing":[88],"client":[89],"behaviors":[90],"during":[91],"training,":[92],"identified":[94],"an":[95],"unstable":[96],"process":[98],"stemming":[99],"from":[100],"NonIID":[101],"issues,":[102],"which":[103],"can":[104],"result":[105],"diminished":[107],"performance.":[108],"To":[109],"address":[110],"problem,":[112],"propose":[114],"novel":[116],"Temperature-Adaption":[117],"based":[118],"prototype":[121],"approach,":[123],"termed":[124],"FedTA.":[125],"This":[126],"method":[127],"incorporates":[128],"two":[129],"yet":[131],"potent":[132],"solutions:":[133],"1.":[134],"Prototype":[135],"Enhancement":[136],"and":[137],"2.":[138],"Temperature-Adaption.":[139],"Experimental":[140],"results":[141],"show":[142],"our":[144],"proposed":[145],"surpasses":[147],"state-of-the-art,":[149],"achieving":[150],"performance":[152],"accuracy":[153],"improvement":[154],"up":[156],"5.3%.":[158]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
