{"id":"https://openalex.org/W4413320076","doi":"https://doi.org/10.1109/fmec65595.2025.11119353","title":"Fault-Tolerant Offloading of Federated Learning Training Tasks in IoT-Edge Systems","display_name":"Fault-Tolerant Offloading of Federated Learning Training Tasks in IoT-Edge Systems","publication_year":2025,"publication_date":"2025-05-19","ids":{"openalex":"https://openalex.org/W4413320076","doi":"https://doi.org/10.1109/fmec65595.2025.11119353"},"language":"en","primary_location":{"id":"doi:10.1109/fmec65595.2025.11119353","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fmec65595.2025.11119353","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 10th International Conference on Fog and Mobile Edge Computing (FMEC)","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/A5108939955","display_name":"Bipul Bikram Thapa","orcid":null},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Bipul Bikram Thapa","raw_affiliation_strings":["University of Delaware,Department of Computer &#x0026; Information Sciences,Newark,Delaware,USA"],"affiliations":[{"raw_affiliation_string":"University of Delaware,Department of Computer &#x0026; Information Sciences,Newark,Delaware,USA","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027211734","display_name":"Jianbo Zhang","orcid":"https://orcid.org/0000-0001-5381-1024"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianbo Zhang","raw_affiliation_strings":["University of Delaware,Department of Computer &#x0026; Information Sciences,Newark,Delaware,USA"],"affiliations":[{"raw_affiliation_string":"University of Delaware,Department of Computer &#x0026; Information Sciences,Newark,Delaware,USA","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085589133","display_name":"Lena Mashayekhy","orcid":"https://orcid.org/0000-0002-5096-9333"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lena Mashayekhy","raw_affiliation_strings":["University of Delaware,Department of Computer &#x0026; Information Sciences,Newark,Delaware,USA"],"affiliations":[{"raw_affiliation_string":"University of Delaware,Department of Computer &#x0026; Information Sciences,Newark,Delaware,USA","institution_ids":["https://openalex.org/I86501945"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5108939955"],"corresponding_institution_ids":["https://openalex.org/I86501945"],"apc_list":null,"apc_paid":null,"fwci":1.4558,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.85731666,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.97079998254776,"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":0.97079998254776,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9591000080108643,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9283999800682068,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.803954005241394},{"id":"https://openalex.org/keywords/fault-tolerance","display_name":"Fault tolerance","score":0.6331892013549805},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6266040205955505},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5728448033332825},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.5634839534759521},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5423385500907898},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.521430492401123},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.40505915880203247},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.37713801860809326},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2308916449546814},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.20930975675582886},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.15885451436042786}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.803954005241394},{"id":"https://openalex.org/C63540848","wikidata":"https://www.wikidata.org/wiki/Q3140932","display_name":"Fault tolerance","level":2,"score":0.6331892013549805},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6266040205955505},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5728448033332825},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.5634839534759521},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5423385500907898},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.521430492401123},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.40505915880203247},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.37713801860809326},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2308916449546814},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.20930975675582886},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.15885451436042786},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fmec65595.2025.11119353","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fmec65595.2025.11119353","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 10th International Conference on Fog and Mobile Edge Computing (FMEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1987125632","https://openalex.org/W2809740924","https://openalex.org/W2993853848","https://openalex.org/W3021654819","https://openalex.org/W3039223677","https://openalex.org/W3080934299","https://openalex.org/W3114550872","https://openalex.org/W3117755275","https://openalex.org/W3168595234","https://openalex.org/W3208827944","https://openalex.org/W4205373754","https://openalex.org/W4205766200","https://openalex.org/W4221024145","https://openalex.org/W4388570834","https://openalex.org/W4391249105","https://openalex.org/W4392173874","https://openalex.org/W4399379902","https://openalex.org/W4401853290","https://openalex.org/W4402490841","https://openalex.org/W4404520595","https://openalex.org/W4411688443"],"related_works":["https://openalex.org/W4324372666","https://openalex.org/W4225706866","https://openalex.org/W2914646191","https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W4313339048","https://openalex.org/W3111395152","https://openalex.org/W4313526662","https://openalex.org/W3023564924","https://openalex.org/W2942586735"],"abstract_inverted_index":{"The":[0],"rapid":[1],"proliferation":[2],"of":[3,5,53,199],"Internet":[4],"Things":[6],"(IoT)":[7],"devices":[8,44,56],"has":[9],"led":[10],"to":[11,67,98,108,115,173],"an":[12,154],"exponential":[13],"increase":[14],"in":[15,75,121,207],"data":[16,47],"generation":[17],"at":[18],"the":[19,50,147,174,197],"edge,":[20],"driving":[21],"unprecedented":[22],"demands":[23],"for":[24,59,203],"efficient":[25,117],"and":[26,77,118,134,137,162,189],"scalable":[27,204],"distributed":[28],"learning":[29],"frameworks.":[30],"Federated":[31],"Learning":[32],"(FL)":[33],"offers":[34],"a":[35,71,90,127,141,167],"promising":[36],"solution":[37,157],"by":[38,102],"enabling":[39],"decentralized":[40],"model":[41],"training":[42,65,106,175,192],"across":[43],"while":[45,111],"preserving":[46],"privacy.":[48],"However,":[49,74],"computational":[51],"limitations":[52],"resource-constrained":[54],"IoT":[55],"present":[57],"challenges":[58,101],"timely":[60],"local":[61],"training.":[62],"Offloading":[63],"FL":[64,104,191,205],"tasks":[66,107],"edge":[68,109],"servers":[69,161],"provides":[70],"practical":[72],"solution.":[73],"dynamic":[76,122],"failure-prone":[78],"environments,":[79],"ensuring":[80,170],"fault":[81,113],"tolerance":[82,114],"during":[83],"offloading":[84,93,103,132,186,202],"becomes":[85],"critical.":[86],"This":[87],"paper":[88],"introduces":[89],"novel":[91],"fault-tolerant":[92],"framework,":[94],"called":[95],"ResilientEdgeFL,":[96],"designed":[97],"address":[99],"these":[100],"client-side":[105],"servers,":[110],"incorporating":[112],"ensure":[116],"reliable":[119],"operations":[120],"IoT-edge":[123,209],"environments.":[124,210],"ResilientEdgeFL":[125,183],"constructs":[126],"flow":[128],"graph":[129],"based":[130,145],"on":[131,146],"costs":[133],"server":[135],"constraints,":[136],"solves":[138],"it":[139,152],"using":[140],"mincost":[142],"max-flow":[143],"approach":[144],"network":[148],"simplex":[149],"method.":[150],"Additionally,":[151],"incorporates":[153],"adaptive":[155],"fault-tolerance":[156],"that":[158,182],"assigns":[159],"backup":[160],"triggers":[163],"fallback":[164],"execution":[165],"when":[166],"failure":[168],"occurs,":[169],"minimal":[171],"disruptions":[172],"process.":[176],"Through":[177],"extensive":[178],"simulations,":[179],"we":[180],"demonstrate":[181],"significantly":[184],"improves":[185],"success":[187],"rates":[188],"reduces":[190],"latency.":[193],"Our":[194],"findings":[195],"highlight":[196],"importance":[198],"resilient":[200],"fault-aware":[201],"deployments":[206],"real-world":[208]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
