{"id":"https://openalex.org/W3135524540","doi":"https://doi.org/10.1109/icaice51518.2020.00038","title":"Federated Learning Algorithm Based on Knowledge Distillation","display_name":"Federated Learning Algorithm Based on Knowledge Distillation","publication_year":2020,"publication_date":"2020-10-01","ids":{"openalex":"https://openalex.org/W3135524540","doi":"https://doi.org/10.1109/icaice51518.2020.00038","mag":"3135524540"},"language":"en","primary_location":{"id":"doi:10.1109/icaice51518.2020.00038","doi":"https://doi.org/10.1109/icaice51518.2020.00038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaice51518.2020.00038","pdf_url":null,"source":{"id":"https://openalex.org/S4363608137","display_name":"International Conference on Artificial Intelligence and Computer Engineering (ICAICE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Artificial Intelligence and Computer Engineering (ICAICE)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5019050357","display_name":"Donglin Jiang","orcid":"https://orcid.org/0000-0001-6199-4385","observed_orcids":["https://orcid.org/0000-0001-6199-4385"]},"institutions":[{"id":"https://openalex.org/I13591777","display_name":"University of Nottingham Ningbo China","ror":"https://ror.org/03y4dt428","country_code":"CN","type":"education","lineage":["https://openalex.org/I13591777","https://openalex.org/I142263535"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Donglin Jiang","raw_affiliation_strings":["School of Computer Science, University of Nottingham, Ningbo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Nottingham, Ningbo, China","institution_ids":["https://openalex.org/I13591777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050052454","display_name":"Shan Chen","orcid":"https://orcid.org/0000-0002-2621-4352","observed_orcids":["https://orcid.org/0000-0002-2621-4352","https://orcid.org/0009-0000-8452-1337"]},"institutions":[{"id":"https://openalex.org/I13591777","display_name":"University of Nottingham Ningbo China","ror":"https://ror.org/03y4dt428","country_code":"CN","type":"education","lineage":["https://openalex.org/I13591777","https://openalex.org/I142263535"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Shan","raw_affiliation_strings":["School of Computer Science, University of Nottingham, Ningbo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Nottingham, Ningbo, China","institution_ids":["https://openalex.org/I13591777"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100451610","display_name":"Zhihui Zhang","orcid":"https://orcid.org/0000-0001-7387-599X","observed_orcids":["https://orcid.org/0000-0001-7387-599X"]},"institutions":[{"id":"https://openalex.org/I13591777","display_name":"University of Nottingham Ningbo China","ror":"https://ror.org/03y4dt428","country_code":"CN","type":"education","lineage":["https://openalex.org/I13591777","https://openalex.org/I142263535"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihui Zhang","raw_affiliation_strings":["School of Mathematical Sciences, University of Nottingham, Ningbo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, University of Nottingham, Ningbo, China","institution_ids":["https://openalex.org/I13591777"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I13591777"],"apc_list":null,"apc_paid":null,"fwci":1.1939,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.82656796,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"163","last_page":"167"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.0,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/federated-learning","display_name":"federated learning","score":0.9980000257492065},{"id":"https://openalex.org/keywords/knowledge-distillation","display_name":"knowledge distillation","score":1.0},{"id":"https://openalex.org/keywords/statistical-heterogeneity","display_name":"statistical heterogeneity","score":0.7260000109672546},{"id":"https://openalex.org/keywords/personalized-models","display_name":"personalized models","score":0.9089999794960022},{"id":"https://openalex.org/keywords/edge-computing","display_name":"edge computing","score":0.628000020980835},{"id":"https://openalex.org/keywords/privacy-preserving-distributed-learning","display_name":"privacy-preserving distributed learning","score":0.703000009059906},{"id":"https://openalex.org/keywords/knowledge-transfer","display_name":"knowledge transfer","score":0.6230000257492065}],"concepts":[{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.899351954460144},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8660861253738403},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6514700651168823},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5609550476074219},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.48497486114501953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4721284806728363},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.45565059781074524},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.42459070682525635},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.41340845823287964},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.38460445404052734},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3498287796974182},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1568354368209839},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icaice51518.2020.00038","doi":"https://doi.org/10.1109/icaice51518.2020.00038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaice51518.2020.00038","pdf_url":null,"source":{"id":"https://openalex.org/S4363608137","display_name":"International Conference on Artificial Intelligence and Computer Engineering (ICAICE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Artificial Intelligence and Computer Engineering (ICAICE)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.nottingham.ac.uk:65181","doi":null,"is_oa":false,"landing_page_url":"http://eprints.nottingham.ac.uk/65181/1/Title%20Pages%20Example%20%200.6-%E5%B7%B2%E8%9E%8D%E5%90%88%20%284%29.pdf","pdf_url":"http://eprints.nottingham.ac.uk/65181/1/Title%20Pages%20Example%20%200.6-%E5%B7%B2%E8%9E%8D%E5%90%88%20%284%29.pdf","source":null,"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W2134797427","https://openalex.org/W2294370754","https://openalex.org/W2541884796","https://openalex.org/W2777914285","https://openalex.org/W2807006176","https://openalex.org/W2912213068","https://openalex.org/W2914328083","https://openalex.org/W2918777711","https://openalex.org/W2955213239","https://openalex.org/W2980216952","https://openalex.org/W2995653155","https://openalex.org/W3021654819"],"related_works":["https://openalex.org/W3162099324","https://openalex.org/W7104279452","https://openalex.org/W4392110708","https://openalex.org/W4412947457","https://openalex.org/W4403308459","https://openalex.org/W4200029701","https://openalex.org/W7166854494","https://openalex.org/W4412375095","https://openalex.org/W4226101686","https://openalex.org/W4399053928"],"abstract_inverted_index":{"Federated":[0,29],"learning":[1,30,91],"is":[2],"a":[3,12,22,48,102,129],"new":[4,103],"scheme":[5],"of":[6,15,41,59,88,147,153,156,163,171,189,196],"distributed":[7,104],"machine":[8],"learning,":[9,63],"which":[10,46,64,79,166],"enables":[11],"large":[13],"number":[14],"edge":[16],"computing":[17],"devices":[18],"to":[19,33,56,122,135,137],"jointly":[20],"learn":[21],"shared":[23],"model":[24,68,114,120,133,173],"without":[25],"private":[26,44],"data":[27],"sharing.":[28],"allows":[31],"nodes":[32],"synchronize":[34],"only":[35],"the":[36,57,95,118,124,138,143,148,154,161,169,187,194],"locally":[37],"trained":[38],"models":[39],"instead":[40],"their":[42],"own":[43],"data,":[45],"provides":[47],"guarantee":[49],"for":[50],"privacy":[51],"and":[52,145,192],"security.":[53],"However,":[54],"due":[55],"challenges":[58],"heterogeneity":[60,74],"in":[61,75,85,128],"federated":[62,77,90],"are:":[65],"(1)":[66],"heterogeneous":[67,178,197],"architecture":[69],"among":[70],"devices;":[71],"(2)":[72],"statistical":[73],"real":[76],"dataset,":[78,140],"do":[80],"not":[81],"obey":[82],"independent-identical-distribution,":[83],"resulting":[84],"poor":[86],"performance":[87,126,155],"traditional":[89],"algorithms.":[92],"To":[93],"solve":[94],"problems":[96],"above,":[97],"this":[98],"paper":[99],"proposes":[100],"FedDistill,":[101],"training":[105],"method":[106],"based":[107],"on":[108,115],"knowledge":[109,164,175],"distillation.":[110],"By":[111],"introducing":[112],"personalized":[113,119],"each":[116],"device,":[117],"aims":[121],"improve":[123,186],"local":[125,139,157],"even":[127],"situation":[130],"that":[131,182],"global":[132,149,172],"fails":[134],"adapt":[136],"thereby":[141],"improving":[142],"ability":[144],"robustness":[146],"model.":[150],"The":[151],"improvement":[152,170],"device":[158],"benefits":[159],"from":[160],"effect":[162],"distillation,":[165],"can":[167,184],"guide":[168],"by":[174],"transfer":[176],"between":[177],"networks.":[179],"Experiments":[180],"show":[181],"FedDistill":[183],"significantly":[185],"accuracy":[188],"classification":[190],"tasks":[191],"meet":[193],"needs":[195],"users.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":5}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2021-03-15T00:00:00"}