{"id":"https://openalex.org/W7137108776","doi":"https://doi.org/10.1109/ants66931.2025.11429817","title":"Task Offloading and Federated Learning Framework for Edge-Enabled Sustainable IIoT Networks","display_name":"Task Offloading and Federated Learning Framework for Edge-Enabled Sustainable IIoT Networks","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7137108776","doi":"https://doi.org/10.1109/ants66931.2025.11429817"},"language":null,"primary_location":{"id":"doi:10.1109/ants66931.2025.11429817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ants66931.2025.11429817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","raw_type":"proceedings-article"},"type":"article","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/A5059659512","display_name":"Jacob M. Dear","orcid":null},"institutions":[{"id":"https://openalex.org/I190082696","display_name":"Durham University","ror":"https://ror.org/01v29qb04","country_code":"GB","type":"education","lineage":["https://openalex.org/I190082696"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Jacob Dear","raw_affiliation_strings":["Durham University,Department of Computer Science,Durham,United Kingdom"],"affiliations":[{"raw_affiliation_string":"Durham University,Department of Computer Science,Durham,United Kingdom","institution_ids":["https://openalex.org/I190082696"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013437747","display_name":"Anish Jindal","orcid":"https://orcid.org/0000-0002-1200-9438"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anish Jindal","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5059659512"],"corresponding_institution_ids":["https://openalex.org/I190082696"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.79052189,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.8465999960899353,"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"}},"topics":[{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.8465999960899353,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.028200000524520874,"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/T13553","display_name":"Age of Information Optimization","score":0.017000000923871994,"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/task","display_name":"Task (project management)","score":0.6162999868392944},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.382999986410141},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.33489999175071716},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.3043999969959259},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.26919999718666077}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7059000134468079},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6162999868392944},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.382999986410141},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.33489999175071716},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.3043999969959259},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.26919999718666077},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2524000108242035},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2475000023841858},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.2410999983549118},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.24060000479221344}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ants66931.2025.11429817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ants66931.2025.11429817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4746142625808716,"display_name":"Responsible consumption and production","id":"https://metadata.un.org/sdg/12"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2940450051","https://openalex.org/W3043320740","https://openalex.org/W3045586361","https://openalex.org/W3126870142","https://openalex.org/W4285270888","https://openalex.org/W4292974997","https://openalex.org/W4362566226","https://openalex.org/W4367856675","https://openalex.org/W4385428755","https://openalex.org/W4388077030","https://openalex.org/W4391055393","https://openalex.org/W4392697708","https://openalex.org/W4396682193"],"related_works":[],"abstract_inverted_index":{"As":[0],"edge":[1,133],"computing":[2],"becomes":[3],"foundational":[4],"to":[5,70],"Industrial":[6],"Internet":[7],"of":[8,124],"Things":[9],"(IIoT)":[10],"applications,":[11],"particularly":[12],"in":[13,47,107,141,160],"predictive":[14],"maintenance":[15],"(PdM),":[16],"there":[17],"is":[18],"a":[19,31,53,61,79,121,138,150],"growing":[20],"demand":[21],"for":[22,146,153],"scalable,":[23],"energy-efficient,":[24],"and":[25,92,112,156],"privacy-preserving":[26],"solutions.":[27],"This":[28],"study":[29],"proposes":[30],"unified":[32],"framework":[33,95],"that":[34],"integrates":[35],"Federated":[36],"Learning":[37],"(FL)":[38],"with":[39,60,101,131],"an":[40],"intelligent":[41],"task-offloading":[42],"mechanism,":[43],"specifically":[44],"targeting":[45],"PdM":[46,158],"IIoT":[48,87],"networks.":[49],"The":[50,94,115],"system":[51],"combines":[52],"Particle":[54],"Swarm":[55],"Optimisation":[56],"(PSO)-based":[57],"offloading":[58],"strategy":[59],"federated":[62],"XGBoost":[63],"model,":[64],"enhanced":[65],"through":[66],"synthetic":[67],"data":[68],"generation":[69],"mitigate":[71],"severe":[72],"class":[73],"imbalance.":[74],"To":[75],"enable":[76],"realistic":[77],"experimentation,":[78],"fully":[80],"containerised":[81],"simulation":[82],"environment":[83],"was":[84,96],"developed,":[85],"emulating":[86],"behaviour":[88],"using":[89],"MQTT,":[90],"Docker,":[91],"Flower.":[93],"tested":[97],"under":[98],"heterogeneous":[99],"workloads,":[100],"empirical":[102],"results":[103],"demonstrating":[104],"substantial":[105],"gains":[106],"energy":[108],"efficiency,":[109],"latency":[110],"reduction,":[111],"model":[113,118],"generalisation.":[114],"proposed":[116],"FL":[117],"also":[119],"achieved":[120],"classification":[122],"accuracy":[123],"over":[125],"98.0%.":[126],"By":[127],"combining":[128],"decentralised":[129],"learning":[130],"adaptive":[132],"intelligence,":[134],"this":[135],"work":[136],"addresses":[137],"critical":[139],"gap":[140],"sustainable,":[142],"real-time":[143],"fault":[144],"detection":[145],"IIoT.":[147],"It":[148],"provides":[149],"practical":[151],"foundation":[152],"deploying":[154],"robust":[155],"scalable":[157],"systems":[159],"resource-constrained":[161],"industrial":[162],"environments.":[163]},"counts_by_year":[],"updated_date":"2026-03-18T06:27:02.140700","created_date":"2026-03-17T00:00:00"}
