{"id":"https://openalex.org/W7133360617","doi":"https://doi.org/10.48550/arxiv.2603.01755","title":"Federated Agentic AI for Wireless Networks: Fundamentals, Approaches, and Applications","display_name":"Federated Agentic AI for Wireless Networks: Fundamentals, Approaches, and Applications","publication_year":2026,"publication_date":"2026-03-02","ids":{"openalex":"https://openalex.org/W7133360617","doi":"https://doi.org/10.48550/arxiv.2603.01755"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.01755","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.01755","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":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.01755","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5126158804","display_name":"Lingyi Cai","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Cai, Lingyi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128012492","display_name":"Yu Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Yu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127957943","display_name":"Ruichen Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Ruichen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068961034","display_name":"Yinqiu Liu","orcid":"https://orcid.org/0000-0002-6198-3712"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yinqiu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127984102","display_name":"Tao Jiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiang, Tao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127879683","display_name":"Dusit Niyato","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Niyato, Dusit","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127889828","display_name":"Wei Ni","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ni, Wei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5127892894","display_name":"Abbas Jamalipour","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jamalipour, Abbas","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5126158804"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.4717000126838684,"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":0.4717000126838684,"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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.08100000023841858,"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"}},{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.054099999368190765,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/wireless","display_name":"Wireless","score":0.5360000133514404},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5199000239372253},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.5016000270843506},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4659000039100647},{"id":"https://openalex.org/keywords/mainstream","display_name":"Mainstream","score":0.45410001277923584},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.3806999921798706}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6712999939918518},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5360000133514404},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5199000239372253},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.5016000270843506},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4659000039100647},{"id":"https://openalex.org/C2777617010","wikidata":"https://www.wikidata.org/wiki/Q18957","display_name":"Mainstream","level":2,"score":0.45410001277923584},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.3806999921798706},{"id":"https://openalex.org/C157170001","wikidata":"https://www.wikidata.org/wiki/Q4781507","display_name":"Applications of artificial intelligence","level":2,"score":0.3790999948978424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3433000147342682},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.3337000012397766},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3018999993801117},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.2727000117301941},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.25679999589920044},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2556000053882599}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.01755","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.01755","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":"doi:10.48550/arxiv.2603.01755","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.01755","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":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Agentic":[0],"artificial":[1],"intelligence":[2],"(AI)":[3],"presents":[4],"a":[5,108,118,141],"promising":[6],"pathway":[7],"toward":[8],"realizing":[9],"autonomous":[10],"and":[11,20,45,47,70,95,143],"self-improving":[12],"wireless":[13,24,86,135],"network":[14],"services.":[15],"However,":[16],"resource-constrained,":[17],"widely":[18],"distributed,":[19],"data-heterogeneous":[21],"nature":[22],"of":[23,63,92,111,128],"networks":[25,136],"poses":[26],"significant":[27],"challenges":[28],"to":[29,39,58,124],"existing":[30],"agentic":[31,64,82,93,112,129],"AI":[32,65,83,94],"that":[33],"relies":[34],"on":[35,121],"centralized":[36],"architectures,":[37],"leading":[38],"high":[40],"communication":[41],"overhead,":[42],"privacy":[43],"risks,":[44],"non-independent":[46],"identically":[48],"distributed":[49],"(non-IID)":[50],"data.":[51,76],"Federated":[52],"learning":[53,69],"(FL)":[54],"has":[55],"the":[56,60,126],"potential":[57],"improve":[59,125],"overall":[61],"loop":[62],"through":[66],"collaborative":[67],"local":[68],"parameter":[71],"sharing":[72],"without":[73],"exchanging":[74],"raw":[75],"This":[77],"paper":[78],"proposes":[79],"new":[80],"federated":[81],"approaches":[84],"for":[85],"networks.":[87],"We":[88],"first":[89],"summarize":[90],"fundamentals":[91],"mainstream":[96],"FL":[97,104],"types.":[98],"Then,":[99],"we":[100,116,139],"illustrate":[101],"how":[102],"each":[103],"type":[105],"can":[106],"strengthen":[107],"specific":[109],"component":[110],"AI's":[113,130],"loop.":[114],"Moreover,":[115],"conduct":[117],"case":[119],"study":[120],"using":[122],"FRL":[123],"performance":[127],"action":[131],"decision":[132],"in":[133],"low-altitude":[134],"(LAWNs).":[137],"Finally,":[138],"provide":[140],"conclusion":[142],"discuss":[144],"future":[145],"research":[146],"directions.":[147]},"counts_by_year":[],"updated_date":"2026-03-04T07:09:34.246503","created_date":"2026-03-04T00:00:00"}