{"id":"https://openalex.org/W4389428616","doi":"https://doi.org/10.1109/tce.2023.3337788","title":"FedPIA: Parameter Importance-Based Optimized Federated Learning to Efficiently Process Non-IID Data on Consumer Electronic Devices","display_name":"FedPIA: Parameter Importance-Based Optimized Federated Learning to Efficiently Process Non-IID Data on Consumer Electronic Devices","publication_year":2023,"publication_date":"2023-12-07","ids":{"openalex":"https://openalex.org/W4389428616","doi":"https://doi.org/10.1109/tce.2023.3337788"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2023.3337788","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2023.3337788","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","raw_type":"journal-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/A5008416156","display_name":"Yan Zeng","orcid":"https://orcid.org/0000-0003-2026-417X"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Zeng","raw_affiliation_strings":["School of Computer Science, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2026-417X","affiliations":[{"raw_affiliation_string":"School of Computer Science, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070185855","display_name":"Yuyu Yin","orcid":"https://orcid.org/0000-0001-7565-4111"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuyu Yin","raw_affiliation_strings":["School of Computer Science, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7565-4111","affiliations":[{"raw_affiliation_string":"School of Computer Science, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100624323","display_name":"Jilin Zhang","orcid":"https://orcid.org/0000-0003-0241-0727"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jilin Zhang","raw_affiliation_strings":["School of Computer Science, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0241-0727","affiliations":[{"raw_affiliation_string":"School of Computer Science, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015654748","display_name":"Meiting Xue","orcid":"https://orcid.org/0000-0001-5207-0965"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meiting Xue","raw_affiliation_strings":["School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5207-0965","affiliations":[{"raw_affiliation_string":"School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087225784","display_name":"Honghao Gao","orcid":"https://orcid.org/0000-0001-6861-9684"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honghao Gao","raw_affiliation_strings":["School of Computer Engineering and Science, Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-6861-9684","affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I141962983"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.095,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.89564439,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"70","issue":"1","first_page":"1531","last_page":"1543"},"is_retracted":false,"is_paratext":false,"is_xpac":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/T10203","display_name":"Recommender Systems and Techniques","score":0.9686999917030334,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.963100016117096,"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/computer-science","display_name":"Computer science","score":0.7956861257553101},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.5841032266616821},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5800245404243469},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.5768225193023682},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5539355874061584},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5398496985435486},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4885881841182709},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46466103196144104},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4302375912666321},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.41472938656806946},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.15742287039756775}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7956861257553101},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.5841032266616821},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5800245404243469},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5768225193023682},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5539355874061584},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5398496985435486},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4885881841182709},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46466103196144104},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4302375912666321},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.41472938656806946},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.15742287039756775},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2023.3337788","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2023.3337788","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G120150903","display_name":null,"funder_award_id":"2023C03194","funder_id":"https://openalex.org/F8142712028","funder_display_name":"Key Research and Development Program of Zhejiang Province"},{"id":"https://openalex.org/G1727761398","display_name":null,"funder_award_id":"2021C03187","funder_id":"https://openalex.org/F8142712028","funder_display_name":"Key Research and Development Program of Zhejiang Province"},{"id":"https://openalex.org/G2832250946","display_name":"\u9762\u5411\u5f02\u6784\u5b58\u50a8\u4ecb\u8d28\u7684\u6d77\u91cf\u6570\u636e\u5206\u5e03\u5f0f\u9ad8\u6027\u80fd\u7f13\u5b58\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"LQ23F020015","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G3541693721","display_name":"\u201c\u5b66\u4e60\u9a71\u52a8\u578b\u201d\u8fb9\u7f18\u667a\u80fd\u7cfb\u7edf\u6027\u80fd\u4f18\u5316\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"62072146","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7807099342","display_name":"\u79fb\u52a8\u8fb9\u7f18\u4e91\u4e2d\u9ad8\u6548\u8d44\u6e90\u7ec4\u5408\u53ca\u5b58\u50a8\u5206\u914d\u7684\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61972358","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F8142712028","display_name":"Key Research and Development Program of Zhejiang Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W2007339694","https://openalex.org/W2053029130","https://openalex.org/W2071852483","https://openalex.org/W2342783452","https://openalex.org/W2411921399","https://openalex.org/W2560647685","https://openalex.org/W2734358244","https://openalex.org/W2750384547","https://openalex.org/W2807006176","https://openalex.org/W2903471046","https://openalex.org/W2950847865","https://openalex.org/W2967791890","https://openalex.org/W3032684551","https://openalex.org/W3034535887","https://openalex.org/W3037871107","https://openalex.org/W3127190257","https://openalex.org/W3133629262","https://openalex.org/W3141518839","https://openalex.org/W3159623990","https://openalex.org/W3167424384","https://openalex.org/W3172129612","https://openalex.org/W3189545149","https://openalex.org/W3202281568","https://openalex.org/W3205185918","https://openalex.org/W3212951133","https://openalex.org/W4200580662","https://openalex.org/W4206904468","https://openalex.org/W4210805261","https://openalex.org/W4214719528","https://openalex.org/W4221160653","https://openalex.org/W4229029907","https://openalex.org/W4253803149","https://openalex.org/W4285077985","https://openalex.org/W4297738480","https://openalex.org/W4312429505","https://openalex.org/W4313165857","https://openalex.org/W4362596783","https://openalex.org/W4385452922","https://openalex.org/W4386212337","https://openalex.org/W4387319328","https://openalex.org/W4387883653","https://openalex.org/W4394639701","https://openalex.org/W6728757088","https://openalex.org/W6743688258","https://openalex.org/W6752029299","https://openalex.org/W6752049347","https://openalex.org/W6757139170","https://openalex.org/W6759238902","https://openalex.org/W6766978945","https://openalex.org/W6773817997","https://openalex.org/W6779350450","https://openalex.org/W6791581255","https://openalex.org/W6809526294","https://openalex.org/W6810125279","https://openalex.org/W6839742670"],"related_works":["https://openalex.org/W3208095355","https://openalex.org/W2177370417","https://openalex.org/W2052507016","https://openalex.org/W2180461068","https://openalex.org/W2051816080","https://openalex.org/W2140798747","https://openalex.org/W4310813911","https://openalex.org/W2948169060","https://openalex.org/W2156730189","https://openalex.org/W2358962854"],"abstract_inverted_index":{"Federated":[0],"learning":[1,6,9,58,87],"is":[2,36,131,170],"a":[3,82,128,139,156],"distributed":[4],"machine":[5],"method":[7],"for":[8,22,38],"consumer":[10,14,160],"data":[11,26,43,64,123,161],"generated":[12],"by":[13,28,61],"electronic":[15],"devices.":[16,126],"It":[17,35],"provides":[18],"personalized":[19],"intelligent":[20],"services":[21],"users":[23],"while":[24],"maintaining":[25],"privacy":[27],"sharing":[29],"models":[30],"instead":[31],"of":[32,53,97,104,113,121],"user":[33],"data.":[34],"challenging":[37],"these":[39,135],"methods":[40],"to":[41,71,109,137],"learn":[42],"efficiently":[44,154],"and":[45,51,75,100,148,176,182],"with":[46,162],"high":[47],"quality.":[48],"The":[49],"performance":[50],"quality":[52],"the":[54,95,101,111,119,122,144],"model":[55,114,158],"in":[56,63,178],"federated":[57,86],"are":[59,107],"affected":[60],"differences":[62],"from":[65,124],"different":[66,125],"devices,":[67],"which":[68,116],"can":[69,117],"lead":[70],"divergence":[72,120,145],"between":[73,146],"local":[74,147],"global":[76,149],"models.":[77,150],"Therefore,":[78],"this":[79,152,163],"paper":[80,153],"proposes":[81],"parameter":[83,98,105],"importance-based":[84],"optimization":[85,164],"method,":[88],"FedPIA.":[89],"First,":[90],"two":[91],"key":[92],"indicators,":[93],"including":[94],"rate":[96,103],"change":[99],"acceleration":[102],"change,":[106],"provided":[108],"evaluate":[110],"importance":[112],"parameters,":[115],"reflect":[118],"Then,":[127],"regular":[129],"term":[130],"created":[132],"based":[133],"on":[134,159],"indicators":[136],"construct":[138],"new":[140],"loss":[141],"function,":[142],"reducing":[143],"Last,":[151],"trains":[155],"high-quality":[157],"approach.":[165],"Experiments":[166],"show":[167],"that":[168],"FedPIA":[169],"significantly":[171],"better":[172],"than":[173],"FedCL,":[174],"FedAvg,":[175],"Scaffold":[177],"accuracy,":[179],"F1":[180],"scores":[181],"communication":[183],"overhead.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":7}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}