{"id":"https://openalex.org/W4281554877","doi":"https://doi.org/10.1109/tmc.2022.3183098","title":"Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Learning","display_name":"Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Learning","publication_year":2022,"publication_date":"2022-06-15","ids":{"openalex":"https://openalex.org/W4281554877","doi":"https://doi.org/10.1109/tmc.2022.3183098"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2022.3183098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2022.3183098","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057198274","display_name":"Zhiwei Hao","orcid":"https://orcid.org/0000-0002-6237-7028"},"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":"Zhiwei Hao","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6237-7028","affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047347817","display_name":"Guanyu Xu","orcid":"https://orcid.org/0000-0002-2771-9272"},"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":"Guanyu Xu","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2771-9272","affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039158745","display_name":"Yong Luo","orcid":"https://orcid.org/0000-0002-2296-6370"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Luo","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-2296-6370","affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020194895","display_name":"Han Hu","orcid":"https://orcid.org/0000-0001-7532-0496"},"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":"Han Hu","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7532-0496","affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044674658","display_name":"Jianping An","orcid":"https://orcid.org/0000-0002-6441-9711"},"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":"Jianping An","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6441-9711","affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080122431","display_name":"Shiwen Mao","orcid":"https://orcid.org/0000-0002-7052-0007"},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shiwen Mao","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA"],"raw_orcid":"https://orcid.org/0000-0002-7052-0007","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA","institution_ids":["https://openalex.org/I82497590"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.8879,"has_fulltext":false,"cited_by_count":55,"citation_normalized_percentile":{"value":0.96815571,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"22","issue":"10","first_page":"6041","last_page":"6055"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9988999962806702,"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":0.9988999962806702,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9944000244140625,"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":0.877579391002655},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7941612005233765},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6092514991760254},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.561018705368042},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.5425650477409363},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.4872092604637146},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.4556151330471039},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4466514587402344},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4435107409954071},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.4158977270126343},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4002765417098999},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.36012858152389526},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.21463114023208618}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.877579391002655},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7941612005233765},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6092514991760254},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.561018705368042},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5425650477409363},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.4872092604637146},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.4556151330471039},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4466514587402344},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4435107409954071},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.4158977270126343},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4002765417098999},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.36012858152389526},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.21463114023208618},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmc.2022.3183098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2022.3183098","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"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G1865835052","display_name":"\u591a\u536b\u661f\u73af\u5883\u4e0b\u7684\u81ea\u5b66\u4e60\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u89e3\u8026\u7814\u7a76","funder_award_id":"61971457","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5588257095","display_name":null,"funder_award_id":"CNS-2107190","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335353","display_name":"National Science Foundation of Sri Lanka","ror":"https://ror.org/010xaa060"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1191599655","https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1771410628","https://openalex.org/W1918578756","https://openalex.org/W2001996312","https://openalex.org/W2073765234","https://openalex.org/W2115733720","https://openalex.org/W2145417574","https://openalex.org/W2194775991","https://openalex.org/W2195423816","https://openalex.org/W2513158035","https://openalex.org/W2531409750","https://openalex.org/W2605258629","https://openalex.org/W2736601468","https://openalex.org/W2808381205","https://openalex.org/W2893379203","https://openalex.org/W2897066997","https://openalex.org/W2898155611","https://openalex.org/W2905026759","https://openalex.org/W2918891759","https://openalex.org/W2920031528","https://openalex.org/W2920054549","https://openalex.org/W2921965200","https://openalex.org/W2949628230","https://openalex.org/W2963163009","https://openalex.org/W2963334314","https://openalex.org/W2963446712","https://openalex.org/W2965757358","https://openalex.org/W2971714613","https://openalex.org/W2987375765","https://openalex.org/W3011134162","https://openalex.org/W3016765057","https://openalex.org/W3037900478","https://openalex.org/W3043914740","https://openalex.org/W3045907565","https://openalex.org/W3047573586","https://openalex.org/W3100229168","https://openalex.org/W3109233295","https://openalex.org/W4288086158","https://openalex.org/W6627932998","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6638018090","https://openalex.org/W6741002519","https://openalex.org/W6760696709","https://openalex.org/W6773106384"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W2159052453","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W2803255133","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W4386815338","https://openalex.org/W2145836866"],"abstract_inverted_index":{"Recently,":[0],"deploying":[1],"deep":[2],"neural":[3],"network":[4],"(DNN)":[5],"models":[6],"via":[7],"collaborative":[8,76],"inference,":[9],"which":[10],"splits":[11],"a":[12,65,80,108,136,144,158],"pre-trained":[13],"model":[14],"into":[15],"two":[16],"parts":[17],"and":[18,25,41,96,131,171,186],"executes":[19],"them":[20],"on":[21,46],"user":[22],"equipment":[23],"(UE)":[24],"edge":[26,82],"server":[27,83],"respectively,":[28],"becomes":[29],"attractive.":[30],"However,":[31],"the":[32,47,56,62,74,85,114,126,133,154,172],"large":[33,115],"intermediate":[34,116],"feature":[35,117],"of":[36,64,87,129,169,183,191],"DNN":[37,67],"impedes":[38],"flexible":[39],"decoupling,":[40],"existing":[42],"approaches":[43],"either":[44],"focus":[45],"single":[48,66,81],"UE":[49],"scenario":[50],"or":[51],"simply":[52],"define":[53,122],"tasks":[54,123],"considering":[55],"required":[57],"CPU":[58],"cycles,":[59],"but":[60],"ignore":[61],"indivisibility":[63],"layer.":[68],"In":[69],"this":[70,104],"article,":[71],"we":[72,106,121,142],"study":[73],"multi-agent":[75,145],"inference":[77,86,98,127,184],"scenario,":[78],"where":[79],"coordinates":[84],"multiple":[88],"UEs.":[89,101],"Our":[90],"goal":[91],"is":[92],"to":[93,112,125,152,181,189],"achieve":[94,103],"fast":[95],"energy-efficient":[97],"for":[99],"all":[100],"To":[102],"goal,":[105],"design":[107],"lightweight":[109],"autoencoder-based":[110],"method":[111,177],"compress":[113],"at":[118],"first.":[119],"Then":[120],"according":[124],"overhead":[128],"DNNs":[130],"formulate":[132],"problem":[134,156],"as":[135],"Markov":[137],"decision":[138],"process":[139],"(MDP).":[140],"Finally,":[141],"propose":[143],"hybrid":[146,159],"proximal":[147],"policy":[148],"optimization":[149,155],"(MAHPPO)":[150],"algorithm":[151],"solve":[153],"with":[157,166],"action":[160],"space.":[161],"We":[162],"conduct":[163],"extensive":[164],"experiments":[165],"different":[167],"types":[168],"networks,":[170],"results":[173],"show":[174],"that":[175],"our":[176],"can":[178],"reduce":[179],"up":[180,188],"56%":[182],"latency":[185],"save":[187],"72%":[190],"energy":[192],"consumption.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":29},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}