{"id":"https://openalex.org/W4394709566","doi":"https://doi.org/10.1109/ton.2025.3626488","title":"Dynamic D2D-Assisted Federated Learning Over O-RAN: Performance Analysis, MAC Scheduler, and Asymmetric User Selection","display_name":"Dynamic D2D-Assisted Federated Learning Over O-RAN: Performance Analysis, MAC Scheduler, and Asymmetric User Selection","publication_year":2025,"publication_date":"2025-11-12","ids":{"openalex":"https://openalex.org/W4394709566","doi":"https://doi.org/10.1109/ton.2025.3626488"},"language":"en","primary_location":{"id":"doi:10.1109/ton.2025.3626488","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ton.2025.3626488","pdf_url":null,"source":{"id":"https://openalex.org/S5407042750","display_name":"IEEE Transactions on Networking","issn_l":"2998-4157","issn":["2998-4157"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Networking","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2404.06324","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016055514","display_name":"Payam Abdisarabshali","orcid":"https://orcid.org/0000-0002-3743-8247"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Payam Abdisarabshali","raw_affiliation_strings":["Department of Electrical Engineering, University at Buffalo, The State University of New York, Buffalo, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University at Buffalo, The State University of New York, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046216789","display_name":"Kwang Taik Kim","orcid":"https://orcid.org/0000-0001-7089-7026"},"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":"Kwang Taik Kim","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011741113","display_name":"Michael Langberg","orcid":"https://orcid.org/0000-0002-7470-0718"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Langberg","raw_affiliation_strings":["Department of Electrical Engineering, University at Buffalo, The State University of New York, Buffalo, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University at Buffalo, The State University of New York, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068643057","display_name":"Weifeng Su","orcid":"https://orcid.org/0000-0002-2287-8995"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weifeng Su","raw_affiliation_strings":["Department of Electrical Engineering, University at Buffalo, The State University of New York, Buffalo, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University at Buffalo, The State University of New York, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074403000","display_name":"Seyyedali Hosseinalipour","orcid":null},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Seyyedali Hosseinalipour","raw_affiliation_strings":["Department of Electrical Engineering, University at Buffalo, The State University of New York, Buffalo, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University at Buffalo, The State University of New York, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5016055514"],"corresponding_institution_ids":["https://openalex.org/I63190737"],"apc_list":null,"apc_paid":null,"fwci":2.6124,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.88278746,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"34","issue":null,"first_page":"1538","last_page":"1553"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9879000186920166,"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":0.9879000186920166,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9764999747276306,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9427000284194946,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.7311428785324097},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6713722944259644},{"id":"https://openalex.org/keywords/ran","display_name":"Ran","score":0.6678200960159302},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.5847665667533875},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.28322678804397583},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.2689271569252014},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17067977786064148}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7311428785324097},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6713722944259644},{"id":"https://openalex.org/C160704184","wikidata":"https://www.wikidata.org/wiki/Q18031028","display_name":"Ran","level":2,"score":0.6678200960159302},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.5847665667533875},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.28322678804397583},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2689271569252014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17067977786064148}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ton.2025.3626488","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ton.2025.3626488","pdf_url":null,"source":{"id":"https://openalex.org/S5407042750","display_name":"IEEE Transactions on Networking","issn_l":"2998-4157","issn":["2998-4157"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Networking","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2404.06324","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2404.06324","pdf_url":"https://arxiv.org/pdf/2404.06324","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"","raw_type":null},{"id":"doi:10.48550/arxiv.2404.06324","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2404.06324","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2404.06324","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2404.06324","pdf_url":"https://arxiv.org/pdf/2404.06324","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"","raw_type":null},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4417913157","display_name":"Collaborative Research: Convergence of Optics and Radio Frequency in Large-Scale Integrated Air-Ground-Underwater Networks: Theoretical Framework and Experimental Validations","funder_award_id":"2512911","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337392","display_name":"Division of Electrical, Communications and Cyber Systems","ror":"https://ror.org/01krpsy48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W1766728438","https://openalex.org/W1668090144","https://openalex.org/W2504993638","https://openalex.org/W2083168956","https://openalex.org/W2980853820","https://openalex.org/W404373762","https://openalex.org/W2186004379","https://openalex.org/W2132764178"],"abstract_inverted_index":{"Existing":[0],"studies":[1],"on":[2,9,65],"federated":[3],"learning":[4],"(FL)":[5],"are":[6,34],"mostly":[7],"focused":[8],"system":[10],"orchestration":[11],"for":[12,227],"<italic":[13,22,37,89,98,106],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[14,23,38,90,99,107,128,131,134,139,143,159,194,237],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">static":[15,24],"snapshots</i>":[16],"of":[17,41,55,77,97,118,149,192,203,235,246],"the":[18,53,56,66,82,95,116,146,190,225,233],"network":[19,153],"and":[20,45,61,94,121,178,196,208,220,242],"making":[21],"control":[25,171],"decisions</i>":[26],"(e.g.,":[27,205],"spectrum":[28,209],"allocation).":[29],"However,":[30],"real-world":[31],"wireless":[32,42,59],"networks":[33],"susceptible":[35],"to":[36,155,188,199,223],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">temporal":[39],"variations</i>":[40],"channel":[43],"capacity":[44],"users\u2019":[46,63,119],"datasets.":[47],"In":[48],"this":[49,228],"paper,":[50],"we":[51],"study":[52,189],"impacts":[54],"dynamics:":[57],"1)":[58,162],"channels":[60],"2)":[62,169],"datasets":[64,120],"FL":[67,122],"execution.":[68],"The":[69],"former":[70],"is":[71,84],"captured":[72],"by":[73,86],"introducing":[74],"a":[75,87,105,163,212,218,244],"set":[76],"discrete":[78],"time":[79],"events":[80],"while":[81],"latter":[83],"characterized":[85],"novel":[88],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">ordinary":[91],"differential":[92,109],"equation</i>":[93],"metric":[96],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">dynamic":[100],"model":[101,167],"drift</i>,":[102],"formulated":[103],"via":[104,239],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">partial":[108],"inequality</i>,":[110],"drawing":[111],"concrete":[112],"analytical":[113],"connections":[114],"between":[115],"dynamics":[117],"accuracy.":[123],"We":[124,183,216,230],"then":[125,197],"propose":[126],"<underline":[127,130,138],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">d</u>ynamic":[129],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">c</u>ooperative":[132],"F<underline":[133],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">L</u>":[135],"with":[136],"dedicated":[137,174],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">M</u>AC":[140],"schedulers":[141],"(<monospace":[142],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">DCLM</monospace>),":[144],"exploiting":[145],"unique":[147],"features":[148],"open":[150],"radio":[151],"access":[152],"(O-RAN)":[154],"execute":[156],"FL.":[157],"<monospace":[158,193,236],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">DCLM</monospace>":[160,195,238],"entails:":[161],"hierarchical":[164],"device-to-device":[165],"(D2D)-assisted":[166],"training;":[168],"dynamic":[170],"decisions":[172],"through":[173,211],"O-RAN":[175],"MAC":[176],"schedulers;":[177],"3)":[179],"asymmetric":[180],"user":[181,206],"selection.":[182],"provide":[184,243],"extensive":[185],"theoretical":[186],"analysis":[187],"convergence":[191],"aim":[198],"optimize":[200],"its":[201],"degrees":[202],"freedom":[204],"selection":[207],"allocation)":[210],"non-convex":[213],"optimization":[214],"problem.":[215,229],"develop":[217],"systematic":[219],"generic":[221],"approach":[222],"obtain":[224],"solution":[226],"finally":[231],"show":[232],"efficiency":[234],"numerical":[240],"simulations":[241],"series":[245],"future":[247],"directions.":[248]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2024-04-12T00:00:00"}
