{"id":"https://openalex.org/W4392909762","doi":"https://doi.org/10.1109/icassp48485.2024.10447691","title":"Federated Learning on Distributed Graphs Considering Multiple Heterogeneities","display_name":"Federated Learning on Distributed Graphs Considering Multiple Heterogeneities","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392909762","doi":"https://doi.org/10.1109/icassp48485.2024.10447691"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10447691","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp48485.2024.10447691","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5101541889","display_name":"Baiqi Li","orcid":"https://orcid.org/0009-0006-2436-2278"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baiqi Li","raw_affiliation_strings":["East China Normal University,Shanghai,China","East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,Shanghai,China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101319296","display_name":"Yedi Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yedi Ma","raw_affiliation_strings":["East China Normal University,Shanghai,China","East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,Shanghai,China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100405061","display_name":"Yufei Liu","orcid":"https://orcid.org/0000-0002-9301-4895"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufei Liu","raw_affiliation_strings":["East China Normal University,Shanghai,China","East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,Shanghai,China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110369288","display_name":"Hongyan Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyan Gu","raw_affiliation_strings":["East China Normal University,Shanghai,China","East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,Shanghai,China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023122827","display_name":"Zhenghan Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenghan Chen","raw_affiliation_strings":["Peking University,Beijing,China","Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,Beijing,China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029157504","display_name":"Xinli Huang","orcid":"https://orcid.org/0000-0002-3634-7378"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinli Huang","raw_affiliation_strings":["East China Normal University,Shanghai,China","East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,Shanghai,China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5140","last_page":"5144"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9993000030517578,"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":0.9993000030517578,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9993000030517578,"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":0.980400025844574,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8040522933006287},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.619047224521637},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5379944443702698},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.44664227962493896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4161243140697479},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4152320325374603}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8040522933006287},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.619047224521637},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5379944443702698},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.44664227962493896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4161243140697479},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4152320325374603},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10447691","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp48485.2024.10447691","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2116341502","https://openalex.org/W2153959628","https://openalex.org/W2162630660","https://openalex.org/W2168190036","https://openalex.org/W2204975001","https://openalex.org/W2963819344","https://openalex.org/W2963925437","https://openalex.org/W3112044954","https://openalex.org/W3173716304","https://openalex.org/W4224930904","https://openalex.org/W4231510805","https://openalex.org/W4285603628","https://openalex.org/W4285762978","https://openalex.org/W4287332481","https://openalex.org/W4290945652","https://openalex.org/W4297733535","https://openalex.org/W4318822841","https://openalex.org/W4382318655","https://openalex.org/W6728757088","https://openalex.org/W6759238902","https://openalex.org/W6773817997","https://openalex.org/W6779174293","https://openalex.org/W6797220997"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Federated":[0],"graph":[1,8,128],"learning":[2],"(FGL)":[3],"collaboratively":[4],"learns":[5],"a":[6,15],"global":[7],"neural":[9],"network":[10],"with":[11],"distributed":[12],"graphs,":[13,34],"where":[14],"significant":[16],"challenge":[17],"is":[18],"addressing":[19],"non-IID":[20,42,59],"issues.":[21,43,105],"Existing":[22],"work":[23],"has":[24],"not":[25],"fully":[26],"explored":[27],"and":[28,63,78,113,118,147],"utilized":[29,68],"the":[30,51,54,71,74,84,89,93,96],"intrinsic":[31],"features":[32,110],"of":[33,76,83,95,111],"resulting":[35,90],"in":[36,61,92,141,145],"their":[37],"inability":[38],"to":[39,69,102],"effectively":[40],"solve":[41],"To":[44],"tackle":[45],"this":[46],"challenge,":[47],"we":[48,99],"investigate":[49],"for":[50,130],"first":[52,107],"time":[53],"various":[55],"heterogeneity":[56,75,91],"that":[57,136],"causes":[58],"issues":[60],"FGL":[62],"how":[64],"they":[65],"can":[66],"be":[67],"alleviate":[70],"issues,":[72],"including":[73],"nodes":[77,112],"structures":[79,114],"as":[80,86,88,127],"basic":[81],"components":[82],"graph,":[85],"well":[87],"representations":[94,129],"graph.":[97],"Furthermore,":[98],"propose":[100],"ProtoFGL":[101,106,137],"address":[103],"these":[104],"extracts":[108],"heterogeneous":[109],"from":[115],"local":[116],"data":[117],"incorporates":[119],"them":[120],"into":[121],"prototypes,":[122],"which":[123],"are":[124],"then":[125],"used":[126],"collaborative":[131],"training.":[132],"Experimental":[133],"results":[134],"show":[135],"outperforms":[138],"state-of-the-art":[139],"methods":[140],"node":[142],"classification":[143],"tasks":[144],"accuracy":[146],"F1":[148],"score.":[149]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
