{"id":"https://openalex.org/W4206835050","doi":"https://doi.org/10.1109/mis.2022.3143287","title":"Heterogeneous Federated Meta-Learning With Mutually Constrained Propagation","display_name":"Heterogeneous Federated Meta-Learning With Mutually Constrained Propagation","publication_year":2022,"publication_date":"2022-01-14","ids":{"openalex":"https://openalex.org/W4206835050","doi":"https://doi.org/10.1109/mis.2022.3143287"},"language":"en","primary_location":{"id":"doi:10.1109/mis.2022.3143287","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mis.2022.3143287","pdf_url":null,"source":{"id":"https://openalex.org/S114241109","display_name":"IEEE Intelligent Systems","issn_l":"1541-1672","issn":["1541-1672","1941-1294"],"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 Intelligent Systems","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/A5045279002","display_name":"Ziqiu Chi","orcid":null},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ziqiu Chi","raw_affiliation_strings":["East China University of Science and Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100621319","display_name":"Zhe Wang","orcid":"https://orcid.org/0000-0002-3759-2041"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Wang","raw_affiliation_strings":["East China University of Science and Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048267931","display_name":"Wenli Du","orcid":"https://orcid.org/0000-0002-2676-6341"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenli Du","raw_affiliation_strings":["East China University of Science and Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045279002"],"corresponding_institution_ids":["https://openalex.org/I143593769"],"apc_list":null,"apc_paid":null,"fwci":0.7957,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.75540581,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"37","issue":"2","first_page":"44","last_page":"54"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9976999759674072,"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":0.9976999759674072,"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":0.9976000189781189,"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/T12676","display_name":"Machine Learning and ELM","score":0.944100022315979,"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/computer-science","display_name":"Computer science","score":0.9147619009017944},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.7206975817680359},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6712251901626587},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5683135986328125},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.47432491183280945},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3790234625339508},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33842402696609497},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3296620845794678}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9147619009017944},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.7206975817680359},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6712251901626587},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5683135986328125},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.47432491183280945},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3790234625339508},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33842402696609497},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3296620845794678},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mis.2022.3143287","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mis.2022.3143287","pdf_url":null,"source":{"id":"https://openalex.org/S114241109","display_name":"IEEE Intelligent Systems","issn_l":"1541-1672","issn":["1541-1672","1941-1294"],"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 Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G1083119094","display_name":null,"funder_award_id":"61725301","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1565746575","https://openalex.org/W1821462560","https://openalex.org/W2091118421","https://openalex.org/W2154455818","https://openalex.org/W2601450892","https://openalex.org/W2604763608","https://openalex.org/W2620998106","https://openalex.org/W2789758093","https://openalex.org/W2895671740","https://openalex.org/W2949320428","https://openalex.org/W2951213900","https://openalex.org/W2964105864","https://openalex.org/W2972674777","https://openalex.org/W2975043678","https://openalex.org/W2989701968","https://openalex.org/W3000870854","https://openalex.org/W3007345209","https://openalex.org/W3016169665","https://openalex.org/W3021654819","https://openalex.org/W3041631353","https://openalex.org/W3042029390","https://openalex.org/W3088234149","https://openalex.org/W3090615085","https://openalex.org/W3095611529","https://openalex.org/W3158969156","https://openalex.org/W3209786827","https://openalex.org/W3213291156","https://openalex.org/W4318619660","https://openalex.org/W6638523607","https://openalex.org/W6682494755","https://openalex.org/W6728757088","https://openalex.org/W6735236233","https://openalex.org/W6736057607","https://openalex.org/W6755766585","https://openalex.org/W6763048141","https://openalex.org/W6766376627","https://openalex.org/W6768511045","https://openalex.org/W6774120287","https://openalex.org/W6794804735","https://openalex.org/W6795843344"],"related_works":["https://openalex.org/W4298221930","https://openalex.org/W2777914285","https://openalex.org/W4378677776","https://openalex.org/W3013363440","https://openalex.org/W4287823391","https://openalex.org/W4312762663","https://openalex.org/W4317941881","https://openalex.org/W2770593030","https://openalex.org/W4229067761","https://openalex.org/W2077137742"],"abstract_inverted_index":{"Federated":[0],"learning":[1],"is":[2,12],"a":[3,13,18],"popular":[4],"framework":[5],"that":[6],"guarantees":[7],"privacy":[8],"security.":[9],"Thereinto,":[10],"heterogeneity":[11],"challenging":[14],"barrier.":[15],"We":[16],"propose":[17],"meta-based":[19,87],"federated":[20,94,98],"method":[21,27,122],"with":[22,30],"mutually":[23,60],"constrained":[24],"propagation":[25,89],"(2MFed)":[26],"to":[28,39,73,91],"cope":[29],"this.":[31],"First,":[32],"2MFed":[33],"gives":[34],"each":[35],"client":[36],"the":[37,41,58,62,68,83,86,93,97,103,110,113,120],"right":[38],"choose":[40],"most":[42],"appropriate":[43],"model":[44,104],"from":[45],"server-side":[46],"parallel":[47,65],"models":[48,66],"as":[49,96],"its":[50,128],"local":[51],"model,":[52],"which":[53,101],"tolerates":[54],"hardware":[55],"heterogeneity.":[56,79,105],"Second,":[57],"server":[59],"exchanges":[61],"information":[63],"of":[64,85,112],"under":[67],"consistency":[69],"and":[70,126],"disparity":[71],"constraints":[72],"improve":[74],"robustness,":[75],"thus":[76],"eliminating":[77],"data":[78],"Third,":[80],"we":[81,118],"use":[82],"power":[84],"label":[88],"algorithm":[90],"treat":[92],"training":[95],"few-shot":[99,124],"problem,":[100],"removes":[102],"Finally,":[106],"extensive":[107],"experiments":[108],"confirm":[109],"effectiveness":[111],"proposed":[114,121],"method.":[115],"In":[116],"addition,":[117],"evaluate":[119],"on":[123],"tasks":[125],"demonstrate":[127],"excellent":[129],"performance":[130],"further.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
