{"id":"https://openalex.org/W4401509454","doi":"https://doi.org/10.1109/iccworkshops59551.2024.10615412","title":"A Distributed Lyapunov-Learning Scheme for Computation Offloading in Vehicular Networks","display_name":"A Distributed Lyapunov-Learning Scheme for Computation Offloading in Vehicular Networks","publication_year":2024,"publication_date":"2024-06-09","ids":{"openalex":"https://openalex.org/W4401509454","doi":"https://doi.org/10.1109/iccworkshops59551.2024.10615412"},"language":"en","primary_location":{"id":"doi:10.1109/iccworkshops59551.2024.10615412","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccworkshops59551.2024.10615412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Communications Workshops (ICC Workshops)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101891357","display_name":"Chi Guo","orcid":"https://orcid.org/0000-0002-3666-7523"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chi Guo","raw_affiliation_strings":["College of Communication Engineering, Jilin University,Changchun,China,130022"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Communication Engineering, Jilin University,Changchun,China,130022","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059484322","display_name":"Cong Wang","orcid":"https://orcid.org/0000-0002-3771-9954"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Wang","raw_affiliation_strings":["College of Communication Engineering, Jilin University,Changchun,China,130022"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Communication Engineering, Jilin University,Changchun,China,130022","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100420982","display_name":"Juan Li","orcid":"https://orcid.org/0000-0001-7721-6596"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Li","raw_affiliation_strings":["College of Communication Engineering, Jilin University,Changchun,China,130022"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Communication Engineering, Jilin University,Changchun,China,130022","institution_ids":["https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I194450716"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"445","last_page":"450"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9836000204086304,"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":0.9836000204086304,"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":0.982699990272522,"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"}},{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9379000067710876,"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/computer-science","display_name":"Computer science","score":0.7657203078269958},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.7536503076553345},{"id":"https://openalex.org/keywords/lyapunov-function","display_name":"Lyapunov function","score":0.5892342329025269},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5690069198608398},{"id":"https://openalex.org/keywords/lyapunov-optimization","display_name":"Lyapunov optimization","score":0.4549436569213867},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.36791056394577026},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3291659355163574},{"id":"https://openalex.org/keywords/lyapunov-equation","display_name":"Lyapunov equation","score":0.29548853635787964},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24566951394081116},{"id":"https://openalex.org/keywords/lyapunov-exponent","display_name":"Lyapunov exponent","score":0.17133763432502747},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12923768162727356},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11654368042945862},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.07455399632453918}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7657203078269958},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.7536503076553345},{"id":"https://openalex.org/C60640748","wikidata":"https://www.wikidata.org/wiki/Q2337858","display_name":"Lyapunov function","level":3,"score":0.5892342329025269},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5690069198608398},{"id":"https://openalex.org/C101403955","wikidata":"https://www.wikidata.org/wiki/Q6707083","display_name":"Lyapunov optimization","level":5,"score":0.4549436569213867},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.36791056394577026},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3291659355163574},{"id":"https://openalex.org/C25854792","wikidata":"https://www.wikidata.org/wiki/Q1028945","display_name":"Lyapunov equation","level":4,"score":0.29548853635787964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24566951394081116},{"id":"https://openalex.org/C191544260","wikidata":"https://www.wikidata.org/wiki/Q1238630","display_name":"Lyapunov exponent","level":3,"score":0.17133763432502747},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12923768162727356},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11654368042945862},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.07455399632453918},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccworkshops59551.2024.10615412","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccworkshops59551.2024.10615412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Communications Workshops (ICC Workshops)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1606815489","https://openalex.org/W2137152139","https://openalex.org/W2145357326","https://openalex.org/W2156006461","https://openalex.org/W2982654255","https://openalex.org/W3045049179","https://openalex.org/W3105504538","https://openalex.org/W3155172585","https://openalex.org/W3168768468","https://openalex.org/W3191972690","https://openalex.org/W4281557862","https://openalex.org/W4295934714","https://openalex.org/W4296339264","https://openalex.org/W4318619660","https://openalex.org/W4365131736","https://openalex.org/W6636329224","https://openalex.org/W6728757088","https://openalex.org/W6769579599"],"related_works":["https://openalex.org/W2546013078","https://openalex.org/W2897919269","https://openalex.org/W2534107666","https://openalex.org/W2234502090","https://openalex.org/W2383986032","https://openalex.org/W3217133416","https://openalex.org/W4327639156","https://openalex.org/W4283708569","https://openalex.org/W2118944249","https://openalex.org/W118344564"],"abstract_inverted_index":{"Mobile":[0],"edge":[1,17,101],"computing":[2],"(MEC)":[3],"facilitates":[4],"user":[5],"vehi-cles":[6],"(UVs)":[7],"to":[8],"offload":[9],"computation":[10,28,58,65],"tasks":[11],"by":[12],"exploiting":[13],"its":[14],"collabo-rations":[15],"with":[16,80],"servers":[18],"for":[19],"meeting":[20],"the":[21,63],"stringent":[22],"requirements.":[23],"Previous":[24],"works":[25],"mainly":[26],"explore":[27],"offloading":[29,59,122],"without":[30],"queueing":[31,128],"or":[32],"ensuring":[33],"queue":[34,68],"stable":[35],"under":[36,67,97],"centralized":[37],"control.":[38],"However,":[39],"they":[40],"generally":[41],"fall":[42],"short":[43],"of":[44,126],"stability":[45,69,98],"guarantee":[46],"and":[47,92,106,112,129],"distributed":[48,77,110],"implementation.":[49],"To":[50,71],"tackle":[51],"these":[52],"issues,":[53],"we":[54,74],"formulate":[55],"a":[56,76],"stochastic":[57],"problem,":[60],"which":[61],"maximizes":[62],"average":[64],"rate":[66],"constraints.":[70],"address":[72],"it,":[73],"develop":[75],"Lyapunov-learning":[78],"scheme":[79],"federated":[81,107],"learning":[82,102,108],"(DLLS-FL),":[83],"where":[84],"Lyapunov":[85],"optimization":[86],"provides":[87],"an":[88],"online":[89],"decomposition":[90],"method":[91],"achieves":[93],"performance":[94],"tradeoff":[95],"bounds":[96],"guarantee.":[99],"Moreover,":[100],"framework":[103],"including":[104],"actor-critic":[105],"enables":[109],"updating":[111],"convergence":[113],"guarantee,":[114],"respectively.":[115],"Furthermore,":[116],"DLLS-FL":[117],"outperforms":[118],"other":[119],"central-ized":[120],"task":[121],"schemes":[123],"in":[124],"terms":[125],"data":[127],"energy":[130],"consumption.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}