{"id":"https://openalex.org/W4388426864","doi":"https://doi.org/10.1109/spawc53906.2023.10304465","title":"Adaptive Gradient Methods For Over-the-Air Federated Learning","display_name":"Adaptive Gradient Methods For Over-the-Air Federated Learning","publication_year":2023,"publication_date":"2023-09-25","ids":{"openalex":"https://openalex.org/W4388426864","doi":"https://doi.org/10.1109/spawc53906.2023.10304465"},"language":"en","primary_location":{"id":"doi:10.1109/spawc53906.2023.10304465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spawc53906.2023.10304465","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","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/A5100785424","display_name":"Chenhao Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210158570","display_name":"Zhejiang University-University of Edinburgh Institute","ror":"https://ror.org/04jth1r26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210158570","https://openalex.org/I76130692","https://openalex.org/I98677209"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenhao Wang","raw_affiliation_strings":["Zhejiang University,ZJU-UIUC Institute,Haining,China,314400"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University,ZJU-UIUC Institute,Haining,China,314400","institution_ids":["https://openalex.org/I4210158570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100679791","display_name":"Zihan Chen","orcid":"https://orcid.org/0000-0003-0814-3391"},"institutions":[{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"education","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zihan Chen","raw_affiliation_strings":["Singapore University of Technology and Design,Singapore,Singapore,487372"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Singapore University of Technology and Design,Singapore,Singapore,487372","institution_ids":["https://openalex.org/I152815399"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061641468","display_name":"Howard H. Yang","orcid":"https://orcid.org/0000-0002-0256-2416"},"institutions":[{"id":"https://openalex.org/I4210158570","display_name":"Zhejiang University-University of Edinburgh Institute","ror":"https://ror.org/04jth1r26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210158570","https://openalex.org/I76130692","https://openalex.org/I98677209"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Howard H. Yang","raw_affiliation_strings":["Zhejiang University,ZJU-UIUC Institute,Haining,China,314400"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University,ZJU-UIUC Institute,Haining,China,314400","institution_ids":["https://openalex.org/I4210158570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084740578","display_name":"\u039d\u03b9\u03ba\u03cc\u03bb\u03b1\u03bf\u03c2 \u03a0\u03b1\u03c0\u03c0\u03ac\u03c2","orcid":"https://orcid.org/0000-0003-4416-7702"},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Nikolaos Pappas","raw_affiliation_strings":["Linköping University,Department of Computer and Information Science,Linköping,Sweden,58183"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Linköping University,Department of Computer and Information Science,Linköping,Sweden,58183","institution_ids":["https://openalex.org/I102134673"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":"351","last_page":"355"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9997000098228455,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/computer-science","display_name":"Computer science","score":0.6588881015777588}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6588881015777588}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spawc53906.2023.10304465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spawc53906.2023.10304465","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"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":34,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2146502635","https://openalex.org/W2194775991","https://openalex.org/W2541884796","https://openalex.org/W2734358244","https://openalex.org/W2907379776","https://openalex.org/W2969343398","https://openalex.org/W2975156709","https://openalex.org/W2979359324","https://openalex.org/W2981138228","https://openalex.org/W3017377715","https://openalex.org/W3021654819","https://openalex.org/W3083094609","https://openalex.org/W3114728946","https://openalex.org/W3118608800","https://openalex.org/W3153722111","https://openalex.org/W3201314735","https://openalex.org/W3208799718","https://openalex.org/W3213815372","https://openalex.org/W4221146344","https://openalex.org/W4285539128","https://openalex.org/W4299283926","https://openalex.org/W4312926285","https://openalex.org/W4318619660","https://openalex.org/W4372346880","https://openalex.org/W4385819770","https://openalex.org/W6631190155","https://openalex.org/W6681435938","https://openalex.org/W6762626082","https://openalex.org/W6773976177","https://openalex.org/W6782629816","https://openalex.org/W6787972765","https://openalex.org/W6790034021","https://openalex.org/W6850644443"],"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":{"Federated":[0],"learning":[1],"(FL)":[2],"provides":[3],"a":[4,29,89],"privacy-preserving":[5],"approach":[6],"to":[7,104,139],"realizing":[8],"networked":[9],"intelligence.":[10],"However,":[11],"the":[12,20,26,51,99,106,116,120,127,131,141,144],"performance":[13,129],"of":[14,28,122,130,143],"FL":[15,44,101],"is":[16],"often":[17],"constrained":[18],"by":[19],"limited":[21],"communication":[22,35],"resources,":[23],"especially":[24],"in":[25,50,79],"context":[27],"wireless":[30],"system.":[31],"To":[32],"tackle":[33],"this":[34,85],"bottleneck,":[36],"recent":[37],"studies":[38],"propose":[39],"an":[40,112],"analog":[41],"over-the-air":[42],"(A-OTA)":[43],"paradigm":[45,92],"which":[46,74],"employs":[47],"A-OTA":[48,100],"computations":[49],"model":[52,64],"aggregation":[53],"step":[54],"that":[55,93],"significantly":[56],"enhances":[57],"scalability.":[58],"The":[59],"existing":[60],"architectures":[61],"mainly":[62],"conduct":[63],"training":[65,91],"via":[66],"(stochastic)":[67],"gradient":[68,96],"descent,":[69],"while":[70],"adaptive":[71,95],"optimization":[72],"methods,":[73],"have":[75],"achieved":[76],"notable":[77],"success":[78],"deep":[80],"learning,":[81],"remain":[82],"unexplored.":[83],"In":[84],"paper,":[86],"we":[87],"establish":[88],"distributed":[90],"incorporates":[94],"methods":[97],"into":[98],"framework,":[102],"aiming":[103],"enhance":[105],"system\u2019s":[107],"convergence":[108,117,128],"performance.":[109],"We":[110,134],"derive":[111],"analytical":[113],"expression":[114],"for":[115],"rate,":[118],"capturing":[119],"effects":[121],"various":[123],"system":[124],"parameters":[125],"on":[126],"proposed":[132,145],"method.":[133,146],"also":[135],"perform":[136],"several":[137],"experiments":[138],"validate":[140],"efficacy":[142]},"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"}