{"id":"https://openalex.org/W4226484282","doi":"https://doi.org/10.1145/3505711.3505717","title":"AdaFed: Performance-based Adaptive Federated Learning","display_name":"AdaFed: Performance-based Adaptive Federated Learning","publication_year":2021,"publication_date":"2021-11-20","ids":{"openalex":"https://openalex.org/W4226484282","doi":"https://doi.org/10.1145/3505711.3505717"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3505711.3505717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://iris.uniroma1.it/bitstream/11573/1627181/1/Giuseppi_postprint_AdaFed_2021.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009770666","display_name":"Alessandro Giuseppi","orcid":"https://orcid.org/0000-0001-5503-8506"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"funder","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessandro Giuseppi","raw_affiliation_strings":["DiAG, Sapienza,University of Rome, Italy"],"affiliations":[{"raw_affiliation_string":"DiAG, Sapienza,University of Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046160284","display_name":"Lucrezia Della Torre","orcid":null},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"funder","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lucrezia Della Torre","raw_affiliation_strings":["DiAG, Sapienza,University of Rome, Italy"],"affiliations":[{"raw_affiliation_string":"DiAG, Sapienza,University of Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018146563","display_name":"Danilo Menegatti","orcid":"https://orcid.org/0000-0001-9090-0050"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"funder","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Danilo Menegatti","raw_affiliation_strings":["DiAG, Sapienza,University of Rome, Italy"],"affiliations":[{"raw_affiliation_string":"DiAG, Sapienza,University of Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088978718","display_name":"Antonio Pietrabissa","orcid":"https://orcid.org/0000-0003-0188-3346"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"funder","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonio Pietrabissa","raw_affiliation_strings":["DiAG, Sapienza,University of Rome, Italy"],"affiliations":[{"raw_affiliation_string":"DiAG, Sapienza,University of Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.887,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":10,"citation_normalized_percentile":{"value":0.860018,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":86,"max":87},"biblio":{"volume":null,"issue":null,"first_page":"38","last_page":"43"},"is_retracted":false,"is_paratext":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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.959,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9583,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated Learning","score":0.7822199},{"id":"https://openalex.org/keywords/distributed-learning","display_name":"Distributed learning","score":0.49157628},{"id":"https://openalex.org/keywords/adaptive-learning","display_name":"Adaptive Learning","score":0.4318004}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.85001665},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.7822199},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6617632},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.60148335},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5752138},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.49157628},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47316295},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43672222},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.43204233},{"id":"https://openalex.org/C125014702","wikidata":"https://www.wikidata.org/wiki/Q4680749","display_name":"Adaptive learning","level":2,"score":0.4318004},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3400333},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3505711.3505717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://hdl.handle.net/11573/1627181","pdf_url":"https://iris.uniroma1.it/bitstream/11573/1627181/1/Giuseppi_postprint_AdaFed_2021.pdf","source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://hdl.handle.net/11573/1627181","pdf_url":"https://iris.uniroma1.it/bitstream/11573/1627181/1/Giuseppi_postprint_AdaFed_2021.pdf","source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320326076","funder_display_name":"Regione Lazio","award_id":"A0375-2020-36491"}],"datasets":[],"versions":[],"referenced_works_count":17,"referenced_works":["https://openalex.org/W2561675875","https://openalex.org/W2605800822","https://openalex.org/W2767079719","https://openalex.org/W2783522756","https://openalex.org/W2912213068","https://openalex.org/W2955863859","https://openalex.org/W2963037989","https://openalex.org/W2970606380","https://openalex.org/W3018040655","https://openalex.org/W3018464563","https://openalex.org/W3021654819","https://openalex.org/W3037913917","https://openalex.org/W3108051446","https://openalex.org/W4233311511","https://openalex.org/W4247858607","https://openalex.org/W4286540908","https://openalex.org/W4286825659"],"related_works":["https://openalex.org/W4398164851","https://openalex.org/W4323521275","https://openalex.org/W4322741898","https://openalex.org/W4317941881","https://openalex.org/W4229067761","https://openalex.org/W4220738117","https://openalex.org/W3159168343","https://openalex.org/W3091296419","https://openalex.org/W3035996294","https://openalex.org/W2954034773"],"abstract_inverted_index":{"Federated":[0,36,52],"Learning":[1,37,53],"is":[2],"a":[3,16,26,106],"distributed":[4],"and":[5,90,113],"privacy-preserving":[6],"machine":[7],"learning":[8],"technique":[9],"that":[10],"allows":[11],"local":[12,60],"clients":[13],"to":[14,98],"learn":[15],"model":[17,64],"without":[18],"sharing":[19],"their":[20],"own":[21],"data":[22,111],"by":[23,68,74],"coordinating":[24],"with":[25],"global":[27],"server.":[28],"In":[29],"this":[30],"work,":[31],"we":[32],"present":[33],"the":[34,44,59,63,70,75,83,102],"Adaptive":[35],"(AdaFed)":[38],"algorithm,":[39],"which":[40],"aims":[41],"at":[42,77],"improving":[43],"training":[45],"performance":[46],"of":[47,85],"deep":[48],"neural":[49],"networks":[50],"in":[51,62],"settings":[54],"by:":[55],"(i)":[56],"dynamically":[57],"weighting":[58],"models":[61],"averaging":[65],"procedure;":[66],"(ii)":[67],"adapting":[69],"loss":[71],"function":[72],"used":[73],"federation":[76],"every":[78],"communication":[79],"round.":[80],"We":[81],"discuss":[82],"specialisation":[84],"AdaFed":[86,103],"for":[87],"both":[88],"classification":[89],"regression":[91],"tasks,":[92],"providing":[93],"several":[94],"validation":[95],"examples.":[96],"Due":[97],"its":[99],"adaptive":[100],"design,":[101],"algorithm":[104],"showed":[105],"robust":[107],"behaviour":[108],"against":[109],"unbalanced":[110],"distributions":[112],"adversarial":[114],"clients.":[115]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4226484282","counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3}],"updated_date":"2025-04-04T08:19:52.360976","created_date":"2022-05-05"}