{"id":"https://openalex.org/W4396982420","doi":"https://doi.org/10.1109/lcsys.2024.3402123","title":"Boosting Fairness and Robustness in Over-the-Air Federated Learning","display_name":"Boosting Fairness and Robustness in Over-the-Air Federated Learning","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4396982420","doi":"https://doi.org/10.1109/lcsys.2024.3402123"},"language":"en","primary_location":{"id":"doi:10.1109/lcsys.2024.3402123","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcsys.2024.3402123","pdf_url":null,"source":{"id":"https://openalex.org/S4306422535","display_name":"IEEE Control Systems Letters","issn_l":"2475-1456","issn":["2475-1456"],"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 Control Systems Letters","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/A5029611928","display_name":"Halil Yi\u011fit \u00d6ks\u00fcz","orcid":"https://orcid.org/0000-0002-5755-6371"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Halil Yi\u011fit \u00d6ks\u00fcz","raw_affiliation_strings":["Control Systems Group and the Exzellenzcluster Science of Intelligence, Technische Universit&#x00E4;t Berlin, Berlin, Germany"],"raw_orcid":"https://orcid.org/0000-0002-5755-6371","affiliations":[{"raw_affiliation_string":"Control Systems Group and the Exzellenzcluster Science of Intelligence, Technische Universit&#x00E4;t Berlin, Berlin, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042359759","display_name":"Fabio Molinari","orcid":"https://orcid.org/0000-0003-2617-962X"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Fabio Molinari","raw_affiliation_strings":["Control Systems Group, Technische Universit&#x00E4;t Berlin, Berlin, Germany"],"raw_orcid":"https://orcid.org/0000-0003-2617-962X","affiliations":[{"raw_affiliation_string":"Control Systems Group, Technische Universit&#x00E4;t Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015039578","display_name":"Henning Sprekeler","orcid":"https://orcid.org/0000-0003-0690-3553"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Henning Sprekeler","raw_affiliation_strings":["Exzellenzcluster Science of Intelligence and the Modelling Cognitive Processes Group, Technische Universit&#x00E4;t Berlin, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Exzellenzcluster Science of Intelligence and the Modelling Cognitive Processes Group, Technische Universit&#x00E4;t Berlin, Berlin, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033002944","display_name":"J\u00f6rg Raisch","orcid":"https://orcid.org/0000-0002-8724-0773"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J\u00f6rg Raisch","raw_affiliation_strings":["Control Systems Group and the Exzellenzcluster Science of Intelligence, Technische Universit&#x00E4;t Berlin, Berlin, Germany"],"raw_orcid":"https://orcid.org/0000-0002-8724-0773","affiliations":[{"raw_affiliation_string":"Control Systems Group and the Exzellenzcluster Science of Intelligence, Technische Universit&#x00E4;t Berlin, Berlin, Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5029611928"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9934,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.78918883,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"8","issue":null,"first_page":"682","last_page":"687"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9521999955177307,"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/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9007999897003174,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.8649450540542603},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6919134855270386},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6397905349731445},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3806260824203491},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3744989037513733}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.8649450540542603},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6919134855270386},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6397905349731445},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3806260824203491},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3744989037513733},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/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/lcsys.2024.3402123","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcsys.2024.3402123","pdf_url":null,"source":{"id":"https://openalex.org/S4306422535","display_name":"IEEE Control Systems Letters","issn_l":"2475-1456","issn":["2475-1456"],"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 Control Systems Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1583497301","https://openalex.org/W1997834106","https://openalex.org/W2000540095","https://openalex.org/W2001988223","https://openalex.org/W2022922836","https://openalex.org/W2061657011","https://openalex.org/W2535838896","https://openalex.org/W2595897327","https://openalex.org/W2912213068","https://openalex.org/W2995022099","https://openalex.org/W2999074226","https://openalex.org/W3021654819","https://openalex.org/W3022064003","https://openalex.org/W3088234149","https://openalex.org/W3120826507","https://openalex.org/W3147028311","https://openalex.org/W3148526481","https://openalex.org/W3152527299","https://openalex.org/W3195068536","https://openalex.org/W4225926344","https://openalex.org/W4239066252","https://openalex.org/W4242471985","https://openalex.org/W4297687186","https://openalex.org/W4312644172","https://openalex.org/W4380450876","https://openalex.org/W4382365395","https://openalex.org/W4387105517","https://openalex.org/W4391020240","https://openalex.org/W6635532581","https://openalex.org/W6728757088","https://openalex.org/W6738383168","https://openalex.org/W6758757267","https://openalex.org/W6759226220","https://openalex.org/W6773817997"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3082059448","https://openalex.org/W4313640622","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694"],"abstract_inverted_index":{"Over-the-Air":[0,33],"Computation":[1],"is":[2],"a":[3],"beyond-5G":[4],"communication":[5],"strategy":[6],"that":[7,37,59],"has":[8],"recently":[9],"been":[10],"shown":[11],"to":[12,24,39,64,88],"be":[13],"useful":[14],"for":[15],"the":[16,49,53,60,65,69,73],"decentralized":[17],"training":[18],"of":[19,52,68],"machine":[20],"learning":[21,35],"models":[22],"due":[23],"its":[25],"efficiency.":[26],"In":[27],"this":[28],"letter,":[29],"we":[30,57],"propose":[31],"an":[32],"federated":[34],"algorithm":[36,62],"aims":[38],"provide":[40],"fairness":[41],"and":[42,95],"robustness":[43],"through":[44],"minmax":[45,70],"optimization.":[46],"By":[47],"using":[48],"epigraph":[50],"form":[51],"problem":[54],"at":[55],"hand,":[56],"show":[58],"proposed":[61,74],"converges":[63],"optimal":[66],"solution":[67],"problem.":[71],"Moreover,":[72],"approach":[75],"does":[76],"not":[77],"require":[78],"reconstructing":[79],"channel":[80],"coefficients":[81],"by":[82],"complex":[83],"encoding-decoding":[84],"schemes":[85],"as":[86],"opposed":[87],"state-of-the-art":[89],"approaches.":[90],"This":[91],"improves":[92],"both":[93],"efficiency":[94],"privacy.":[96]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
