{"id":"https://openalex.org/W7084058822","doi":"https://doi.org/10.1109/infocomwkshps65812.2025.11152901","title":"Deep Reinforcement Learning-Based Methods for Model Deployment in Edge Environments","display_name":"Deep Reinforcement Learning-Based Methods for Model Deployment in Edge Environments","publication_year":2025,"publication_date":"2025-05-19","ids":{"openalex":"https://openalex.org/W7084058822","doi":"https://doi.org/10.1109/infocomwkshps65812.2025.11152901"},"language":"en","primary_location":{"id":"doi:10.1109/infocomwkshps65812.2025.11152901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocomwkshps65812.2025.11152901","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2025 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","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":null,"display_name":"Xifei Song","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xifei Song","raw_affiliation_strings":["Xidian University,School of Telecommunications Engineering,Xi’an,China,710071"],"affiliations":[{"raw_affiliation_string":"Xidian University,School of Telecommunications Engineering,Xi’an,China,710071","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ruiyi Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135667","display_name":"Xian Mechanical & Electric Institute (China)","ror":"https://ror.org/04d9wma96","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210135667"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiyi Yin","raw_affiliation_strings":["Shaanxi Key Laboratory of Blockchain and Secure Computing,Xian,China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Blockchain and Secure Computing,Xian,China","institution_ids":["https://openalex.org/I4210135667"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jie Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Feng","raw_affiliation_strings":["Xidian University,School of Telecommunications Engineering,Xi’an,China,710071"],"affiliations":[{"raw_affiliation_string":"Xidian University,School of Telecommunications Engineering,Xi’an,China,710071","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiaoteng Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoteng Yang","raw_affiliation_strings":["Xidian University,School of Telecommunications Engineering,Xi’an,China,710071"],"affiliations":[{"raw_affiliation_string":"Xidian University,School of Telecommunications Engineering,Xi’an,China,710071","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lei Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Liu","raw_affiliation_strings":["Xidian University,Guangzhou Institute of Technology,Guangzhou,China,510555"],"affiliations":[{"raw_affiliation_string":"Xidian University,Guangzhou Institute of Technology,Guangzhou,China,510555","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":null,"display_name":"Celimuge Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Celimuge Wu","raw_affiliation_strings":["University of Electro-Communications,Meta-Networking Research Center,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"University of Electro-Communications,Meta-Networking Research Center,Tokyo,Japan","institution_ids":["https://openalex.org/I20529979"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":8.0194,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.97401901,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T11859","display_name":"Educator Training and Historical Pedagogy","score":0.16680000722408295,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11859","display_name":"Educator Training and Historical Pedagogy","score":0.16680000722408295,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12493","display_name":"Memory, violence, and history","score":0.09049999713897705,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12777","display_name":"Philosophy, History, and Historiography","score":0.05209999904036522,"subfield":{"id":"https://openalex.org/subfields/1202","display_name":"History"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.7491999864578247},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.725600004196167},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5059000253677368},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.503600001335144},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4803999960422516},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.45969998836517334},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.45489999651908875},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.436599999666214},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.3849000036716461}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8384000062942505},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.7491999864578247},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.725600004196167},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6545000076293945},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5059000253677368},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.503600001335144},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4803999960422516},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.45969998836517334},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.45489999651908875},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.436599999666214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4309999942779541},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.3849000036716461},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.37290000915527344},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.37049999833106995},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3702999949455261},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.36480000615119934},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.3603000044822693},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.359499990940094},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3578999936580658},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3301999866962433},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.2989000082015991},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.29739999771118164},{"id":"https://openalex.org/C127964446","wikidata":"https://www.wikidata.org/wiki/Q1092142","display_name":"Computational resource","level":3,"score":0.29429998993873596},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2921000123023987},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2736000120639801},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27149999141693115},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.26829999685287476},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.26739999651908875},{"id":"https://openalex.org/C3017813396","wikidata":"https://www.wikidata.org/wiki/Q17078173","display_name":"Resource constraints","level":2,"score":0.2637999951839447},{"id":"https://openalex.org/C46637626","wikidata":"https://www.wikidata.org/wiki/Q6693015","display_name":"Low latency (capital markets)","level":2,"score":0.2554999887943268},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.2542000114917755}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocomwkshps65812.2025.11152901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocomwkshps65812.2025.11152901","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2025 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2079245724","https://openalex.org/W2161234287","https://openalex.org/W3003309554","https://openalex.org/W4226137608","https://openalex.org/W4296437959","https://openalex.org/W4312588618","https://openalex.org/W4313534960","https://openalex.org/W4323338293","https://openalex.org/W4367188881","https://openalex.org/W4386558805","https://openalex.org/W4386788337","https://openalex.org/W4390422162","https://openalex.org/W4392158886","https://openalex.org/W4400447774","https://openalex.org/W4406266040","https://openalex.org/W4406610338","https://openalex.org/W4413120526"],"related_works":[],"abstract_inverted_index":{"Large":[0],"language":[1],"models":[2,61],"(LLMs)":[3],"have":[4],"gained":[5],"significant":[6],"attention":[7],"for":[8,117],"their":[9],"powerful":[10],"capabilities":[11],"and":[12,24,44,96,131],"broad":[13],"applicability.":[14],"However,":[15],"cloud-based":[16],"deployment":[17],"raises":[18],"concerns":[19],"over":[20],"data":[21,37],"privacy,":[22],"security,":[23],"latency,":[25],"limiting":[26],"user":[27],"experience.":[28],"Edge":[29],"computing":[30],"offers":[31],"a":[32,70,104,111],"promising":[33],"alternative":[34],"by":[35],"processing":[36,91],"closer":[38],"to":[39,55,99],"the":[40,48,57,78,120],"source,":[41],"reducing":[42],"latency":[43],"enhancing":[45],"privacy.":[46],"Nonetheless,":[47],"constrained":[49],"computational":[50],"resource":[51,97],"makes":[52],"it":[53],"difficult":[54],"handle":[56],"demands":[58],"of":[59,80],"large":[60],"independently.":[62],"To":[63],"address":[64],"these":[65],"challenges,":[66],"this":[67],"work":[68],"proposes":[69],"deep":[71],"reinforcement":[72],"learning":[73],"(DRL)":[74],"framework":[75,87],"that":[76],"optimizes":[77],"execution":[79],"LLM":[81],"applications":[82],"in":[83],"edge":[84],"computing.":[85],"The":[86],"jointly":[88],"considers":[89],"task":[90,124],"order,":[92],"priority,":[93],"offloading":[94],"decisions,":[95],"allocation":[98],"minimize":[100],"application":[101],"duration.":[102],"Leveraging":[103],"proximal":[105],"policy":[106],"optimization":[107],"(PPO)":[108],"algorithm":[109],"with":[110],"graph":[112],"convolutional":[113],"network":[114],"(GCN)":[115],"module":[116],"feature":[118],"extraction,":[119],"approach":[121],"achieves":[122],"efficient":[123],"scheduling.":[125],"Experiments":[126],"confirm":[127],"its":[128],"superior":[129],"performance":[130],"convergence.":[132]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}