{"id":"https://openalex.org/W7140764074","doi":"https://doi.org/10.1109/etcom66606.2025.11436271","title":"Federated AI Orchestration in Heterogeneous Edge Environments","display_name":"Federated AI Orchestration in Heterogeneous Edge Environments","publication_year":2025,"publication_date":"2025-11-28","ids":{"openalex":"https://openalex.org/W7140764074","doi":"https://doi.org/10.1109/etcom66606.2025.11436271"},"language":"en","primary_location":{"id":"doi:10.1109/etcom66606.2025.11436271","doi":"https://doi.org/10.1109/etcom66606.2025.11436271","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etcom66606.2025.11436271","pdf_url":null,"source":{"id":"https://openalex.org/S7407096363","display_name":"IEEE International Conference on Emerging Trends in Computing and Communication (ETCOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Emerging Trends in Computing and Communication (ETCOM)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5120741565","display_name":"Mayank Atreya","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mayank Atreya","raw_affiliation_strings":["Chewy Inc,Atlanta,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chewy Inc,Atlanta,USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121594558","display_name":"Vishal Bharadwaj Meruga","orcid":"https://orcid.org/0009-0006-7277-6352","observed_orcids":["https://orcid.org/0009-0006-7277-6352","https://orcid.org/0009-0008-5422-3230"]},"institutions":[{"id":"https://openalex.org/I4405259174","display_name":"Marriott International (United States)","ror":"https://ror.org/01vtz5r07","country_code":"US","type":"company","lineage":["https://openalex.org/I4405259174"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vishal Bharadwaj Meruga","raw_affiliation_strings":["Marriott International, Data Scientist,Baltimore,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Marriott International, Data Scientist,Baltimore,USA","institution_ids":["https://openalex.org/I4405259174"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124094921","display_name":"Ravi Kiran Kanneganti","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210109018","display_name":"Capgemini (United States)","ror":"https://ror.org/01mge3v08","country_code":"US","type":"company","lineage":["https://openalex.org/I4210109018","https://openalex.org/I4210136798"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ravi Kiran Kanneganti","raw_affiliation_strings":["Capgemini America Inc,Country USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Capgemini America Inc,Country USA","institution_ids":["https://openalex.org/I4210109018"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116865456","display_name":"Sai Rakesh Puli","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210155268","display_name":"Salesforce (United States)","ror":"https://ror.org/057315g56","country_code":"US","type":"company","lineage":["https://openalex.org/I4210155268"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sai Rakesh Puli","raw_affiliation_strings":["Salesforce, Senior Technical Architect,Dallas,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Salesforce, Senior Technical Architect,Dallas,USA","institution_ids":["https://openalex.org/I4210155268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130150151","display_name":"Praggnya Kanungo","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Praggnya Kanungo","raw_affiliation_strings":["University of Virginia,Virginia,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Virginia,Virginia,USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5093845570","display_name":"Sathishkumar Chintala","orcid":"https://orcid.org/0009-0007-3465-3631","observed_orcids":["https://orcid.org/0009-0007-3465-3631"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sathishkumar Chintala","raw_affiliation_strings":["Independent Researcher,Hyderabad,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Independent Researcher,Hyderabad,India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.368,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.71574276,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.8047000169754028,"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":0.8047000169754028,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.18850000202655792,"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/T13038","display_name":"Internet of Things and AI","score":0.0006000000284984708,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/federated-learning","display_name":"federated learning","score":0.7850000262260437},{"id":"https://openalex.org/keywords/ai-orchestration","display_name":"AI orchestration","score":0.8560000061988831},{"id":"https://openalex.org/keywords/heterogeneous-edge-computing","display_name":"heterogeneous edge computing","score":0.8330000042915344},{"id":"https://openalex.org/keywords/continuous-learning","display_name":"continuous learning","score":0.5920000076293945},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.37400001287460327},{"id":"https://openalex.org/keywords/data-drift","display_name":"data drift","score":0.6359999775886536},{"id":"https://openalex.org/keywords/communication-overhead","display_name":"communication overhead","score":0.6679999828338623},{"id":"https://openalex.org/keywords/6g-networks","display_name":"6G","score":0.7239999771118164},{"id":"https://openalex.org/keywords/model-deployment","display_name":"model deployment","score":0.4090000092983246}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6696000099182129},{"id":"https://openalex.org/C199168358","wikidata":"https://www.wikidata.org/wiki/Q3367000","display_name":"Orchestration","level":3,"score":0.4180000126361847},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.3391000032424927},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3052000105381012},{"id":"https://openalex.org/C20136886","wikidata":"https://www.wikidata.org/wiki/Q749647","display_name":"Interoperability","level":2,"score":0.2851000130176544},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.27469998598098755},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.2667999863624573},{"id":"https://openalex.org/C147494362","wikidata":"https://www.wikidata.org/wiki/Q2078905","display_name":"Troubleshooting","level":2,"score":0.26489999890327454},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2502000033855438},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.23409999907016754}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/etcom66606.2025.11436271","doi":"https://doi.org/10.1109/etcom66606.2025.11436271","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etcom66606.2025.11436271","pdf_url":null,"source":{"id":"https://openalex.org/S7407096363","display_name":"IEEE International Conference on Emerging Trends in Computing and Communication (ETCOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Emerging Trends in Computing and Communication (ETCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6773999929428101,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2624989916","https://openalex.org/W2767079719","https://openalex.org/W2912213068","https://openalex.org/W2941088479","https://openalex.org/W2964005248","https://openalex.org/W3119593986","https://openalex.org/W4214845851","https://openalex.org/W4406459935"],"related_works":["https://openalex.org/W7117540310","https://openalex.org/W6949599218","https://openalex.org/W7155488739","https://openalex.org/W7147124711","https://openalex.org/W7155701585","https://openalex.org/W4416932830","https://openalex.org/W4393186047","https://openalex.org/W7214158863","https://openalex.org/W4413297324","https://openalex.org/W7084107009"],"abstract_inverted_index":{"The":[0,80,152],"proliferation":[1],"of":[2,36,68,87,123],"heterogeneous":[3,71],"edge":[4,72,178],"equipment,":[5],"ultra-dense":[6],"IoT":[7],"nodes":[8],"and":[9,22,42,66,102,113,137,142,158,173,186],"multi-vendors":[10],"distributed":[11,85],"computing":[12],"infrastructures":[13],"have":[14],"introduced":[15],"novel":[16],"complexity":[17],"to":[18,60,77,139,169],"deploying":[19],"scalable,":[20],"reliable":[21],"persistently":[23],"changing":[24],"AI":[25,54,167],"loads.":[26],"Conventional":[27],"centralized":[28],"training":[29,130],"approaches":[30],"do":[31],"not":[32],"satisfy":[33],"the":[34,46,63,75,129,176],"needs":[35],"low-latency":[37],"inference,":[38],"privacy":[39],"compliance":[40],"constraints,":[41],"cross-domain":[43],"interoperability":[44],"at":[45,175],"lower":[47],"extreme.":[48],"This":[49],"article":[50],"proposes":[51],"a":[52,120,155],"Federated":[53],"Orchestration":[55],"model":[56,162],"that":[57,128,163],"will":[58,164],"help":[59],"smartly":[61],"coordinate":[62],"training,":[64],"adaptation,":[65],"deployment":[67],"models":[69],"in":[70,148],"settings":[73],"without":[74],"need":[76],"centralize":[78],"data.":[79],"proposed":[81],"structure":[82],"combines":[83],"real-time":[84],"ecosystems":[86],"continuous":[88],"learning":[89],"by":[90],"integrating":[91],"dynamic":[92],"resource":[93,100],"awareness,":[94],"gradient":[95],"exchange":[96],"preserving":[97],"privacy,":[98],"adaptive":[99],"partitioning,":[101],"federated":[103,150,160],"optimization.":[104],"Multi-layer":[105],"orchestration":[106,161],"engine":[107],"aligns":[108],"device":[109],"heterogeneity,":[110],"link":[111],"uncertainty,":[112],"workload":[114],"agility":[115],"as":[116,118],"well":[117],"provides":[119],"secure":[121],"convergence":[122],"models.":[124],"Experimental":[125],"analysis":[126],"shows":[127],"efficiency":[131],"is":[132,145],"better,":[133],"communication":[134],"overhead":[135],"decreases,":[136],"resistance":[138],"data":[140],"drift":[141],"adversarial":[143],"contamination":[144],"higher":[146],"than":[147],"traditional":[149],"methods.":[151],"work":[153,170],"adds":[154],"coherent,":[156],"lightweight,":[157],"autonomous":[159],"allow":[165],"future":[166],"systems":[168],"well,":[171],"securely,":[172],"sustainably":[174],"network":[177],"supporting":[179],"6G":[180],"next-generation,":[181],"smart":[182],"industries,":[183],"critical":[184],"infrastructure,":[185],"digital":[187],"healthcare":[188],"deployments.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-03-27T00:00:00"}