{"id":"https://openalex.org/W4388117845","doi":"https://doi.org/10.23919/eusipco58844.2023.10290116","title":"Towards Model-Agnostic Federated Learning over Networks","display_name":"Towards Model-Agnostic Federated Learning over Networks","publication_year":2023,"publication_date":"2023-09-04","ids":{"openalex":"https://openalex.org/W4388117845","doi":"https://doi.org/10.23919/eusipco58844.2023.10290116"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco58844.2023.10290116","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco58844.2023.10290116","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 31st European Signal Processing Conference (EUSIPCO)","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/A5006624933","display_name":"Alexander Jung","orcid":"https://orcid.org/0000-0001-7538-0990"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"A. Jung","raw_affiliation_strings":["Aalto University,Dept. of Computer Science","Dept. of Computer Science, Aalto University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalto University,Dept. of Computer Science","institution_ids":["https://openalex.org/I9927081"]},{"raw_affiliation_string":"Dept. of Computer Science, Aalto University","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077706941","display_name":"Shamsiiat Abdurakhmanova","orcid":null},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"S. Abdurakhmanova","raw_affiliation_strings":["Aalto University,Dept. of Computer Science","Dept. of Computer Science, Aalto University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalto University,Dept. of Computer Science","institution_ids":["https://openalex.org/I9927081"]},{"raw_affiliation_string":"Dept. of Computer Science, Aalto University","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100780155","display_name":"\u041e. \u0410. \u041a\u0443\u0437\u043d\u0435\u0446\u043e\u0432\u0430","orcid":"https://orcid.org/0000-0001-7624-4499"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"O. Kuznetsova","raw_affiliation_strings":["Aalto University,Dept. of Computer Science","Dept. of Computer Science, Aalto University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalto University,Dept. of Computer Science","institution_ids":["https://openalex.org/I9927081"]},{"raw_affiliation_string":"Dept. of Computer Science, Aalto University","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052143680","display_name":"Yasmin SarcheshmehPour","orcid":"https://orcid.org/0000-0002-2724-2339"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Y. Sarcheshmehpour","raw_affiliation_strings":["Aalto University,Dept. of Computer Science","Dept. of Computer Science, Aalto University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalto University,Dept. of Computer Science","institution_ids":["https://openalex.org/I9927081"]},{"raw_affiliation_string":"Dept. of Computer Science, Aalto University","institution_ids":["https://openalex.org/I9927081"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9927081"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1614","last_page":"1618"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9994000196456909,"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/T10028","display_name":"Topic Modeling","score":0.9861999750137329,"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":0.7577346563339233}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7577346563339233}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco58844.2023.10290116","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco58844.2023.10290116","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 31st European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1479807131","https://openalex.org/W1603765807","https://openalex.org/W2030319053","https://openalex.org/W2101491865","https://openalex.org/W2154834860","https://openalex.org/W2168231600","https://openalex.org/W2406823926","https://openalex.org/W2496350169","https://openalex.org/W2604738573","https://openalex.org/W2964231051","https://openalex.org/W2984694370","https://openalex.org/W2989637883","https://openalex.org/W2997583404","https://openalex.org/W3034367918","https://openalex.org/W3044143895","https://openalex.org/W3101553404","https://openalex.org/W3104631511","https://openalex.org/W3107718410","https://openalex.org/W3107724517","https://openalex.org/W3108029334","https://openalex.org/W3214056483","https://openalex.org/W4212774754","https://openalex.org/W4238452917","https://openalex.org/W4285285995","https://openalex.org/W4300427714","https://openalex.org/W6684859321","https://openalex.org/W6728757088","https://openalex.org/W6738383168","https://openalex.org/W6752422486","https://openalex.org/W6766978945","https://openalex.org/W6803116340","https://openalex.org/W6803877844"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,68,77],"model-agnostic":[3],"federated":[4],"learning":[5],"method":[6,35,74],"for":[7,76,95],"decentralized":[8],"data":[9],"with":[10,43],"an":[11,37],"intrinsic":[12],"network":[13,16,50],"structure.":[14],"The":[15,72,83],"structure":[17,51],"reflects":[18],"similarities":[19],"between":[20],"the":[21,44,49,110],"(statistics":[22],"of)":[23],"local":[24,31,59,81,89],"datasets":[25],"and,":[26],"in":[27,109],"turn,":[28],"their":[29],"associated":[30],"(\u201cpersonal\u201d)":[32],"models.":[33,82],"Our":[34],"is":[36,91],"instance":[38],"of":[39,52,80,98,112],"empirical":[40,100],"risk":[41,101],"minimization,":[42],"regularization":[45],"term":[46],"derived":[47],"from":[48],"data.":[53],"In":[54],"particular,":[55],"we":[56],"require":[57],"well-connected":[58],"models,":[60],"forming":[61],"clusters,":[62],"to":[63],"yield":[64],"similar":[65],"predictions":[66],"on":[67,87],"common":[69],"test":[70],"set.":[71],"proposed":[73],"allows":[75],"wide":[78],"range":[79],"only":[84],"restriction":[85],"put":[86],"these":[88],"models":[90],"that":[92],"they":[93],"allow":[94],"efficient":[96],"implementation":[97],"regularized":[99],"minimization":[102],"(training).":[103],"Such":[104],"implementations":[105],"might":[106],"be":[107],"available":[108],"form":[111],"high-level":[113],"programming":[114],"frameworks":[115],"such":[116],"as":[117],"scikit-learn,":[118],"Keras":[119],"or":[120],"PyTorch.":[121]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}