乐胖代购免代理版

{"id":"https://openalex.org/W4360994294","doi":"https://doi.org/10.1109/icpads56603.2022.00095","title":"Decentralized Federated Learning with Data Feature Transmission and Neighbor Selection","display_name":"Decentralized Federated Learning with Data Feature Transmission and Neighbor Selection","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4360994294","doi":"https://doi.org/10.1109/icpads56603.2022.00095"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpads56603.2022.00095","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5071960695","display_name":"Wenxiao Lou","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxiao Lou","raw_affiliation_strings":["School of Computer Science and Technology, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100462079","display_name":"Yang Xu","orcid":"https://orcid.org/0000-0002-0932-8112"},"institutions":[{"id":"https://openalex.org/I308837","display_name":"Suzhou University of Science and Technology","ror":"https://ror.org/04en8wb91","country_code":"CN","type":"education","lineage":["https://openalex.org/I308837"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Xu","raw_affiliation_strings":["Suzhou Institute for Advanced Research,University of Science and Technology of China, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"Suzhou Institute for Advanced Research,University of Science and Technology of China, Suzhou, China","institution_ids":["https://openalex.org/I308837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063184427","display_name":"Hongli Xu","orcid":"https://orcid.org/0000-0003-3831-4577"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongli Xu","raw_affiliation_strings":["School of Computer Science and Technology, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062964635","display_name":"Yunming Liao","orcid":"https://orcid.org/0000-0002-5065-2600"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunming Liao","raw_affiliation_strings":["School of Computer Science and Technology, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.705,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.999976,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":79,"max":85},"biblio":{"volume":null,"issue":null,"first_page":"688","last_page":"695"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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":1.0,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9762,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9754,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/federated-learning","display_name":"Federated Learning","score":0.7523898},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48814663},{"id":"https://openalex.org/keywords/information-exchange","display_name":"Information exchange","score":0.41632012}],"concepts":[{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.8128608},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8043765},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.7523898},{"id":"https://openalex.org/C165136773","wikidata":"https://www.wikidata.org/wiki/Q1363179","display_name":"Single point of failure","level":2,"score":0.67351806},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5111211},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5098466},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48814663},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.44064862},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.4216802},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.42047688},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.41915333},{"id":"https://openalex.org/C189693848","wikidata":"https://www.wikidata.org/wiki/Q6031064","display_name":"Information exchange","level":2,"score":0.41632012},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40753603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.380359},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1094946},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpads56603.2022.00095","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation","award_id":null}],"datasets":[],"versions":[],"referenced_works_count":29,"referenced_works":["https://openalex.org/W1598866093","https://openalex.org/W2416799949","https://openalex.org/W2568772110","https://openalex.org/W2622263826","https://openalex.org/W2807006176","https://openalex.org/W2902762175","https://openalex.org/W2966683668","https://openalex.org/W2967314080","https://openalex.org/W2980216952","https://openalex.org/W3004277316","https://openalex.org/W3015135499","https://openalex.org/W3047304572","https://openalex.org/W3082773235","https://openalex.org/W3105122387","https://openalex.org/W3106356772","https://openalex.org/W3112044954","https://openalex.org/W3118608800","https://openalex.org/W3155963862","https://openalex.org/W3168853077","https://openalex.org/W3172612645","https://openalex.org/W3183269189","https://openalex.org/W3197991416","https://openalex.org/W3202544039","https://openalex.org/W4212774754","https://openalex.org/W4230962939","https://openalex.org/W4234998819","https://openalex.org/W4285234583","https://openalex.org/W4300428694","https://openalex.org/W4318619660"],"related_works":["https://openalex.org/W4390607445","https://openalex.org/W4385847620","https://openalex.org/W4385749934","https://openalex.org/W4379539693","https://openalex.org/W4318978799","https://openalex.org/W4312762663","https://openalex.org/W4293499217","https://openalex.org/W4285814369","https://openalex.org/W3201612435","https://openalex.org/W3112310000"],"abstract_inverted_index":{"In":[0,24,76],"edge":[1],"computing":[2],"(EC),":[3],"federated":[4,46],"learning":[5,15,47],"(FL)":[6],"has":[7],"been":[8],"widely":[9],"used":[10],"to":[11,26,85],"cooperatively":[12],"train":[13],"machine":[14],"models":[16,107],"and":[17,32,65,89,145],"protect":[18],"privacy":[19],"over":[20],"the":[21,28,61,66,71,91,112,132,156],"traditional":[22,113,157],"approaches.":[23],"order":[25],"avoid":[27],"possible":[29],"communication":[30,58,63,88,141,151],"bottleneck":[31],"single":[33],"point":[34],"failure":[35],"in":[36,49],"parameter":[37],"server":[38],"(PS)":[39],"framework,":[40],"we":[41,79],"mainly":[42],"focus":[43],"on":[44,93],"decentralized":[45],"(DFL)":[48],"which":[50],"each":[51,97,117,126],"worker":[52,98,118],"disseminates":[53],"information":[54],"through":[55],"peer-to-peer":[56],"(P2P)":[57],"network.":[59],"However,":[60],"high":[62,133],"cost":[64,142,152],"non-IID":[67,94],"local":[68],"data":[69,101],"hinder":[70],"efficient":[72,87],"training":[73],"of":[74,135],"DFL.":[75],"this":[77],"paper,":[78],"propose":[80],"a":[81],"mechanism":[82],"(termed":[83],"DFL-DF)":[84],"achieve":[86],"improve":[90,146],"performance":[92],"data.":[95],"Specifically,":[96,137],"will":[99,119],"exchange":[100],"features":[102],"with":[103,121,155],"neighbors":[104,123],"rather":[105],"than":[106],"(or":[108],"gradients).":[109],"Different":[110],"from":[111],"fixed":[114],"topology":[115],"methods,":[116],"communicate":[120],"its":[122],"selected":[124],"at":[125],"round.":[127],"Extensive":[128],"experiment":[129],"results":[130],"show":[131],"effectiveness":[134],"DFL-DF.":[136],"DFL-DF":[138],"can":[139],"reduce":[140],"by":[143],"29.4%-82.06%":[144],"test":[147],"accuracy":[148],"2.5%-9.1%":[149],"under":[150],"constraints,":[153],"compared":[154],"model":[158],"exchanging":[159],"methods.":[160]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4360994294","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2024-12-13T17:29:41.380275","created_date":"2023-03-30"}