{"id":"https://openalex.org/W4398172739","doi":"https://doi.org/10.1109/tmc.2024.3403851","title":"Federated Learning-Assisted Task Offloading Based on Feature Matching and Caching in Collaborative Device-Edge-Cloud Networks","display_name":"Federated Learning-Assisted Task Offloading Based on Feature Matching and Caching in Collaborative Device-Edge-Cloud Networks","publication_year":2024,"publication_date":"2024-05-21","ids":{"openalex":"https://openalex.org/W4398172739","doi":"https://doi.org/10.1109/tmc.2024.3403851"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2024.3403851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2024.3403851","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Mobile Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/Federated_Learning-Assisted_Task_Offloading_Based_on_Feature_Matching_and_Caching_in_Collaborative_Device-Edge-Cloud_Networks/29061773","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050931109","display_name":"Jine Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jine Tang","raw_affiliation_strings":["School of Artificial Intelligence, Hebei University of Technology, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-3707-069X","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Hebei University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083038684","display_name":"S. Wang","orcid":"https://orcid.org/0009-0009-2995-8283"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sen Wang","raw_affiliation_strings":["School of Artificial Intelligence, Hebei University of Technology, Tianjin, China"],"raw_orcid":"https://orcid.org/0009-0009-2995-8283","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Hebei University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051317379","display_name":"Song Yang","orcid":"https://orcid.org/0000-0002-5385-1402"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Yang","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5385-1402","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051297830","display_name":"Yong Xiang","orcid":"https://orcid.org/0000-0003-3545-7863"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yong Xiang","raw_affiliation_strings":["School of Information Technology, Deakin University, Geelong, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0003-3545-7863","affiliations":[{"raw_affiliation_string":"School of Information Technology, Deakin University, Geelong, VIC, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052234427","display_name":"Zhangbing Zhou","orcid":"https://orcid.org/0000-0002-3195-2253"},"institutions":[{"id":"https://openalex.org/I3125743391","display_name":"China University of Geosciences (Beijing)","ror":"https://ror.org/04q6c7p66","country_code":"CN","type":"education","lineage":["https://openalex.org/I3125743391"]},{"id":"https://openalex.org/I4210145102","display_name":"Institut Polytechnique de Paris","ror":"https://ror.org/042tfbd02","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I4387153010","display_name":"T\u00e9l\u00e9com SudParis","ror":"https://ror.org/05xvk4r52","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4387153010"]}],"countries":["CN","FR"],"is_corresponding":false,"raw_author_name":"Zhangbing Zhou","raw_affiliation_strings":["School of Information Engineering, China University of Geosciences, Beijing, China","Computer Science Department, TELECOM SudParis, Evry, France"],"raw_orcid":"https://orcid.org/0000-0002-3195-2253","affiliations":[{"raw_affiliation_string":"School of Information Engineering, China University of Geosciences, Beijing, China","institution_ids":["https://openalex.org/I3125743391"]},{"raw_affiliation_string":"Computer Science Department, TELECOM SudParis, Evry, France","institution_ids":["https://openalex.org/I4210145102","https://openalex.org/I4387153010"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.1503,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.94391787,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"23","issue":"12","first_page":"12061","last_page":"12079"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9973999857902527,"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":0.9973999857902527,"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/T11478","display_name":"Caching and Content Delivery","score":0.9944999814033508,"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/T13553","display_name":"Age of Information Optimization","score":0.9621999859809875,"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":0.8874645233154297},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7413722276687622},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6234604120254517},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.551563560962677},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5424429178237915},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5269036293029785},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5082094669342041},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4564291834831238},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.4433172941207886},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.4197729229927063},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.33582866191864014},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.2172335386276245},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2170698046684265}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8874645233154297},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7413722276687622},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6234604120254517},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.551563560962677},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5424429178237915},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5269036293029785},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5082094669342041},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4564291834831238},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.4433172941207886},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.4197729229927063},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.33582866191864014},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.2172335386276245},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2170698046684265},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tmc.2024.3403851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2024.3403851","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Mobile Computing","raw_type":"journal-article"},{"id":"pmh:oai:figshare.com:article/29061773","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Federated_Learning-Assisted_Task_Offloading_Based_on_Feature_Matching_and_Caching_in_Collaborative_Device-Edge-Cloud_Networks/29061773","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/29061773","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Federated_Learning-Assisted_Task_Offloading_Based_on_Feature_Matching_and_Caching_in_Collaborative_Device-Edge-Cloud_Networks/29061773","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6941270473","display_name":null,"funder_award_id":"F2023202076","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"}],"funders":[{"id":"https://openalex.org/F4320322163","display_name":"Natural Science Foundation of Hebei Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W2112129327","https://openalex.org/W2496693342","https://openalex.org/W2807006176","https://openalex.org/W2887637607","https://openalex.org/W2891466528","https://openalex.org/W2896792012","https://openalex.org/W2903978855","https://openalex.org/W2919839278","https://openalex.org/W2951475536","https://openalex.org/W2960944858","https://openalex.org/W2964631172","https://openalex.org/W2967734072","https://openalex.org/W2981618170","https://openalex.org/W3000216078","https://openalex.org/W3003879944","https://openalex.org/W3004198548","https://openalex.org/W3040868865","https://openalex.org/W3041362921","https://openalex.org/W3045638580","https://openalex.org/W3112548650","https://openalex.org/W3124558970","https://openalex.org/W3127099068","https://openalex.org/W3129485720","https://openalex.org/W3135028423","https://openalex.org/W3170672970","https://openalex.org/W3179334483","https://openalex.org/W3183931182","https://openalex.org/W3187587412","https://openalex.org/W3192851879","https://openalex.org/W3200600175","https://openalex.org/W3216212383","https://openalex.org/W4206744346","https://openalex.org/W4211067533","https://openalex.org/W4213258821","https://openalex.org/W4213418104","https://openalex.org/W4214813201","https://openalex.org/W4221089384","https://openalex.org/W4226281058","https://openalex.org/W4226403788","https://openalex.org/W4226492316","https://openalex.org/W4285130686","https://openalex.org/W4285820523","https://openalex.org/W4294310699","https://openalex.org/W4312354825","https://openalex.org/W4312389599","https://openalex.org/W4321021933","https://openalex.org/W4364322593","https://openalex.org/W4386066535","https://openalex.org/W4386212337","https://openalex.org/W6752029299"],"related_works":["https://openalex.org/W3154796165","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/W4313526662","https://openalex.org/W4386004629","https://openalex.org/W2942586735"],"abstract_inverted_index":{"Mobile":[0],"edge":[1,15,35,103,149,188],"computing":[2],"provides":[3],"relatively":[4],"rich":[5],"computation":[6],"resources":[7],"for":[8,61,105,147,205],"Internet-of-Things":[9],"(IoT)":[10],"task":[11,91,101,130,156,163,227,235],"offloading":[12,92,167],"at":[13,272],"the":[14,46,63,127,154,170,186,200,213,222,242,249,260,265],"of":[16,48,66,100,129,139,172,202,215,226,234,244],"networks.":[17],"As":[18],"time":[19,266],"goes":[20],"on,":[21],"user":[22,49],"tasks":[23,141,173,207],"present":[24],"diverse":[25],"requirements":[26,47],"in":[27,58,90],"function,":[28],"type,":[29],"dependency,":[30],"urgency,":[31],"etc.,":[32],"which":[33,74],"makes":[34],"servers":[36,104],"take":[37],"on":[38,178],"dynamically":[39,95],"diversified":[40,96],"service":[41],"features":[42,99,116,138],"to":[43,45,78,83,94,125,144,160,175],"adapt":[44],"tasks.":[50,70],"Moreover,":[51],"cache":[52,84,189],"has":[53],"been":[54],"studied":[55],"a":[56,114,136],"lot":[57],"recent":[59],"years":[60],"reducing":[62,221,264],"execution":[64],"cost":[65],"related":[67,174],"or":[68,176],"dependent":[69,177],"However,":[71],"jointly":[72],"considering":[73],"result":[75],"data":[76,203,238,246],"required":[77],"be":[79,182],"cached":[80,179],"and":[81,97,102,165,224,239,268,275],"where":[82],"is":[85,208],"still":[86],"an":[87,148],"intractable":[88],"problem":[89],"due":[93],"sensitive":[98],"prediction.":[106],"To":[107],"provide":[108],"more":[109],"comprehensive":[110],"consideration,":[111],"we":[112,133],"propose":[113],"multiple":[115],"matching":[117],"scheme,":[118],"coupled":[119],"with":[120],"federated":[121,195],"learning-assisted":[122],"collaborative":[123,187],"caching,":[124],"enhance":[126],"efficiency":[128],"offloading.":[131],"Specifically,":[132],"first":[134],"build":[135],"common":[137],"historical":[140],"based":[142],"FI-tree":[143],"help":[145],"search":[146],"server":[150],"that":[151,255],"best":[152],"matches":[153],"requested":[155],"features.":[157],"This":[158],"helps":[159],"obtain":[161],"optimal":[162],"allocation":[164],"improve":[166],"performance.":[168],"Further,":[169],"results":[171,180,217,236,253],"can":[181],"obtained":[183],"directly":[184],"through":[185,263],"prediction":[190,250],"model":[191],"trained":[192],"by":[193,271],"two-stage":[194],"learning.":[196],"In":[197],"this":[198],"way,":[199],"amount":[201],"executed":[204],"offloaded":[206],"reduced,":[209],"thereby":[210],"speeding":[211],"up":[212],"return":[214],"final":[216],"as":[218,220],"well":[219],"delay":[223,267],"energy":[225,269],"execution.":[228],"Meanwhile,":[229],"it":[230],"avoids":[231],"massive":[232],"transmission":[233],"correlated":[237],"also":[240],"protects":[241],"privacy":[243],"these":[245],"when":[247],"training":[248],"model.":[251],"Experimental":[252],"show":[254],"our":[256],"proposed":[257],"method":[258],"outperforms":[259],"benchmark":[261],"approaches":[262],"consumption":[270],"least":[273],"15.6%":[274],"18.2%.":[276]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":15}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}