{"id":"https://openalex.org/W3195780943","doi":"https://doi.org/10.1109/jsac.2021.3118344","title":"Semi-Decentralized Federated Learning With Cooperative D2D Local Model Aggregations","display_name":"Semi-Decentralized Federated Learning With Cooperative D2D Local Model Aggregations","publication_year":2021,"publication_date":"2021-10-06","ids":{"openalex":"https://openalex.org/W3195780943","doi":"https://doi.org/10.1109/jsac.2021.3118344","mag":"3195780943"},"language":"en","primary_location":{"id":"doi:10.1109/jsac.2021.3118344","doi":"https://doi.org/10.1109/jsac.2021.3118344","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsac.2021.3118344","pdf_url":null,"source":{"id":"https://openalex.org/S90422530","display_name":"IEEE Journal on Selected Areas in Communications","issn_l":"0733-8716","issn":["0733-8716","1558-0008"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-a","cwts-core","dongbi-a","jufo-2","norway-1","poland-200","russia-white-list-1"],"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 Journal on Selected Areas in Communications","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2103.10481","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090464926","display_name":"Frank Po-Chen Lin","orcid":"https://orcid.org/0000-0001-5456-1514","observed_orcids":["https://orcid.org/0000-0001-5456-1514"]},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Frank Po-Chen Lin","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","PURDUE UNIVERSITY"],"raw_orcid":"https://orcid.org/0000-0001-5456-1514","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"PURDUE UNIVERSITY","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059750214","display_name":"Seyyedali Hosseinalipour","orcid":"https://orcid.org/0000-0003-4266-4000","observed_orcids":["https://orcid.org/0000-0003-4266-4000"]},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Seyyedali Hosseinalipour","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","PURDUE UNIVERSITY"],"raw_orcid":"https://orcid.org/0000-0003-4266-4000","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"PURDUE UNIVERSITY","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017461331","display_name":"Sheikh Shams Azam","orcid":"https://orcid.org/0000-0001-7678-5092","observed_orcids":["https://orcid.org/0000-0001-7678-5092"]},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sheikh Shams Azam","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","PURDUE UNIVERSITY"],"raw_orcid":"https://orcid.org/0000-0001-7678-5092","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"PURDUE UNIVERSITY","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020399355","display_name":"Christopher G. Brinton","orcid":"https://orcid.org/0000-0003-2771-3521","observed_orcids":["https://orcid.org/0000-0003-2771-3521"]},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher G. Brinton","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","PURDUE UNIVERSITY"],"raw_orcid":"https://orcid.org/0000-0003-2771-3521","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"PURDUE UNIVERSITY","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064634430","display_name":"Nicol\u00f2 Michelusi","orcid":"https://orcid.org/0000-0002-5521-6496","observed_orcids":["https://orcid.org/0000-0002-5521-6496"]},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicolo Michelusi","raw_affiliation_strings":["School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA","Arizona State University**"],"raw_orcid":"https://orcid.org/0000-0002-5521-6496","affiliations":[{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"Arizona State University**","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2045,"currency":"USD","value_usd":2045},"apc_paid":null,"fwci":6.7166,"has_fulltext":true,"cited_by_count":151,"citation_normalized_percentile":{"value":0.97699082,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"39","issue":"12","first_page":"3851","last_page":"3869"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9926999807357788,"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":0.9926999807357788,"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":0.0012000000569969416,"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.0010000000474974513,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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":0.921999990940094},{"id":"https://openalex.org/keywords/device-to-device-communication","display_name":"device-to-device communication","score":0.8830000162124634},{"id":"https://openalex.org/keywords/convergence-bounds","display_name":"convergence bounds","score":0.8659999966621399},{"id":"https://openalex.org/keywords/adaptive-step-size-control","display_name":"adaptive step size control","score":0.8659999966621399},{"id":"https://openalex.org/keywords/sublinear-convergence","display_name":"sublinear convergence","score":0.7400000095367432},{"id":"https://openalex.org/keywords/network-resource-utilization","display_name":"network resource utilization","score":0.675000011920929},{"id":"https://openalex.org/keywords/statistical-heterogeneity","display_name":"statistical heterogeneity","score":0.8080000281333923},{"id":"https://openalex.org/keywords/non-convex-loss-functions","display_name":"non-convex loss functions","score":0.7549999952316284},{"id":"https://openalex.org/keywords/wireless-edge-computing","display_name":"wireless edge computing","score":0.6349999904632568}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7785235643386841},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.563127875328064},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.5448427796363831},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.49660927057266235},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4850972890853882},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.46657833456993103},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4604414701461792},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4565735161304474},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.43724310398101807},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.43463096022605896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34013599157333374},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26844483613967896},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.25085169076919556},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.17645752429962158},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13285499811172485},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/jsac.2021.3118344","doi":"https://doi.org/10.1109/jsac.2021.3118344","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsac.2021.3118344","pdf_url":null,"source":{"id":"https://openalex.org/S90422530","display_name":"IEEE Journal on Selected Areas in Communications","issn_l":"0733-8716","issn":["0733-8716","1558-0008"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-a","cwts-core","dongbi-a","jufo-2","norway-1","poland-200","russia-white-list-1"],"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 Journal on Selected Areas in Communications","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2103.10481","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.10481","pdf_url":"https://arxiv.org/pdf/2103.10481","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3139184944","doi":null,"is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2103.10481","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"mag:3195780943","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/pdf/2103.10481.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2103.10481","doi":"https://doi.org/10.48550/arxiv.2103.10481","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2103.10481","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2103.10481","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.10481","pdf_url":"https://arxiv.org/pdf/2103.10481","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4943999946117401,"display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G2318548222","display_name":null,"funder_award_id":"N000142112472","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G5027606654","display_name":"EARS: Collaborative Research: Real-time Control of Dense, Mobile, Millimeter Wave Networks Using a Programmable Architecture","funder_award_id":"1642982","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7705308622","display_name":"CAREER: Adaptive Communications and Trajectory Design for UAV-assisted Wireless Networks: a Multi-Scale Decision Framework","funder_award_id":"2129015","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8005777691","display_name":null,"funder_award_id":"W15QKN-15-9-1004","funder_id":"https://openalex.org/F4320318238","funder_display_name":"National Spectrum Consortium"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320318238","display_name":"National Spectrum Consortium","ror":null},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3195780943.pdf","grobid_xml":"https://content.openalex.org/works/W3195780943.grobid-xml"},"referenced_works_count":70,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W1751687266","https://openalex.org/W1997834106","https://openalex.org/W2074796812","https://openalex.org/W2107338086","https://openalex.org/W2123705108","https://openalex.org/W2192240806","https://openalex.org/W2335901184","https://openalex.org/W2472333518","https://openalex.org/W2535838896","https://openalex.org/W2541884796","https://openalex.org/W2606089314","https://openalex.org/W2618494520","https://openalex.org/W2740289948","https://openalex.org/W2789254838","https://openalex.org/W2807006176","https://openalex.org/W2900120080","https://openalex.org/W2912213068","https://openalex.org/W2913243576","https://openalex.org/W2914328083","https://openalex.org/W2918777711","https://openalex.org/W2920095265","https://openalex.org/W2949377959","https://openalex.org/W2955213239","https://openalex.org/W2960184797","https://openalex.org/W2963087201","https://openalex.org/W2963136846","https://openalex.org/W2963300197","https://openalex.org/W2963318081","https://openalex.org/W2963326510","https://openalex.org/W2968239693","https://openalex.org/W2969231791","https://openalex.org/W2976335444","https://openalex.org/W2982409974","https://openalex.org/W2982654255","https://openalex.org/W2995653155","https://openalex.org/W2996845627","https://openalex.org/W2999074226","https://openalex.org/W3008821091","https://openalex.org/W3013888436","https://openalex.org/W3015636663","https://openalex.org/W3021096439","https://openalex.org/W3021221399","https://openalex.org/W3021654819","https://openalex.org/W3036723732","https://openalex.org/W3045638580","https://openalex.org/W3045747588","https://openalex.org/W3046101409","https://openalex.org/W3047079385","https://openalex.org/W3047595056","https://openalex.org/W3080192287","https://openalex.org/W3088234149","https://openalex.org/W3090615085","https://openalex.org/W3091604178","https://openalex.org/W3093766311","https://openalex.org/W3094368349","https://openalex.org/W3099314130","https://openalex.org/W3109847748","https://openalex.org/W3118788144","https://openalex.org/W3119842887","https://openalex.org/W3120072747","https://openalex.org/W3134384882","https://openalex.org/W3135231128","https://openalex.org/W3164522852","https://openalex.org/W3182131121","https://openalex.org/W3198056171","https://openalex.org/W4210984920","https://openalex.org/W4286793299","https://openalex.org/W6784661502","https://openalex.org/W6801440712"],"related_works":["https://openalex.org/W3139184944","https://openalex.org/W3198056171","https://openalex.org/W4387126727","https://openalex.org/W3094368349","https://openalex.org/W4385801345","https://openalex.org/W4394595045","https://openalex.org/W4416961140","https://openalex.org/W3006843277","https://openalex.org/W4413979180","https://openalex.org/W4385232623"],"abstract_inverted_index":{"Federated":[0],"learning":[1,11,30,41,157],"has":[2],"emerged":[3],"as":[4,189],"a":[5,28,87,136],"popular":[6],"technique":[7],"for":[8,39,46,106],"distributing":[9],"machine":[10],"(ML)":[12],"model":[13,47,76,161],"training":[14],"across":[15],"the":[16,34,97,122,152],"wireless":[17],"edge.":[18],"In":[19],"this":[20],"paper,":[21],"we":[22,94],"proposetwo":[23],"timescale":[24],"hybrid":[25],"federated":[26,40,156],"learning(TT-HF),":[27],"semi-decentralized":[29],"architecture":[31],"that":[32,120],"combines":[33],"conventional":[35],"device-to-server":[36],"communication":[37,126],"paradigm":[38],"with":[42,193],"device-to-device":[43],"(D2D)":[44],"communications":[45,82],"training.":[48],"InTT-HF,":[49],"during":[50],"each":[51],"global":[52,129],"aggregation":[53,130],"interval,":[54],"devices":[55],"(i)":[56],"perform":[57],"multiple":[58],"stochastic":[59],"gradient":[60,92],"descent":[61],"iterations":[62],"on":[63],"their":[64,75],"individual":[65],"datasets,":[66],"and":[67,128],"(ii)":[68],"aperiodically":[69],"engage":[70],"in":[71,102,155,158,167],"consensus":[72],"procedure":[73],"of":[74,91,160],"parameters":[77],"through":[78],"cooperative,":[79],"distributed":[80,107],"D2D":[81,125],"within":[83],"local":[84,171],"clusters.":[85],"With":[86],"new":[88,103],"general":[89],"definition":[90],"diversity,":[93],"formally":[95],"study":[96],"convergence":[98,104,112,138],"behavior":[99],"ofTT-HF,":[100],"resulting":[101],"bounds":[105,113],"ML.":[108],"We":[109],"leverage":[110],"our":[111,178],"to":[114,134],"develop":[115],"an":[116],"adaptive":[117],"control":[118],"algorithm":[119],"tunes":[121],"step":[123],"size,":[124],"rounds,":[127],"period":[131],"ofTT-HFover":[132],"time":[133],"target":[135],"sublinear":[137],"rate":[139],"of$\\mathcal":[140],"{O}(1/t)$while":[141],"minimizing":[142],"network":[143,164],"resource":[144],"utilization.":[145],"Our":[146],"subsequent":[147],"experiments":[148],"demonstrate":[149,181],"thatTT-HFsignificantly":[150],"outperforms":[151],"current":[153],"art":[154],"terms":[159],"accuracy":[162],"and/or":[163],"energy":[165],"consumption":[166],"different":[168],"scenarios":[169],"where":[170],"device":[172],"datasets":[173],"exhibit":[174],"statistical":[175],"heterogeneity.":[176],"Finally,":[177],"numerical":[179],"evaluations":[180],"robustness":[182],"against":[183],"outages":[184],"caused":[185],"by":[186],"fading":[187],"channels,":[188],"well":[190],"favorable":[191],"performance":[192],"non-convex":[194],"loss":[195],"functions.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":18},{"year":2025,"cited_by_count":40},{"year":2024,"cited_by_count":36},{"year":2023,"cited_by_count":34},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":3}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2021-08-30T00:00:00"}
