{"id":"https://openalex.org/W4293210321","doi":"https://doi.org/10.1109/tmc.2022.3186496","title":"Towards Transmission-Friendly and Robust CNN Models over Cloud and Device","display_name":"Towards Transmission-Friendly and Robust CNN Models over Cloud and Device","publication_year":2022,"publication_date":"2022-06-27","ids":{"openalex":"https://openalex.org/W4293210321","doi":"https://doi.org/10.1109/tmc.2022.3186496"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2022.3186496","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2022.3186496","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":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2207.09616","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046959149","display_name":"Chuntao Ding","orcid":"https://orcid.org/0000-0001-8362-8407"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chuntao Ding","raw_affiliation_strings":["School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027687139","display_name":"Zhichao Lu","orcid":"https://orcid.org/0000-0002-4618-3573"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhichao Lu","raw_affiliation_strings":["School of Software Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034751153","display_name":"Felix Juefei-Xu","orcid":"https://orcid.org/0000-0002-0857-8611"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Felix Juefei-Xu","raw_affiliation_strings":["Alibaba Group, Sunnyvale, CA, USA"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I4210095624"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031717929","display_name":"Vishnu Naresh Boddeti","orcid":"https://orcid.org/0000-0002-8918-9385"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vishnu Naresh Boddeti","raw_affiliation_strings":["Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010019122","display_name":"Yidong Li","orcid":"https://orcid.org/0000-0003-2965-6196"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yidong Li","raw_affiliation_strings":["School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100740023","display_name":"Jiannong Cao","orcid":"https://orcid.org/0000-0002-2725-2529"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jiannong Cao","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5046959149"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":2.4471,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.90489988,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"22","issue":"10","first_page":"6176","last_page":"6189"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9987999796867371,"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.995199978351593,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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":0.8328524827957153},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7561705112457275},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.756061851978302},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.574974000453949},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.4339594542980194},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4175361096858978},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3612329363822937},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.346560537815094},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.18698373436927795},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.0957743227481842},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.08817335963249207}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8328524827957153},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7561705112457275},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.756061851978302},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.574974000453949},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.4339594542980194},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4175361096858978},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3612329363822937},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.346560537815094},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.18698373436927795},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0957743227481842},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.08817335963249207},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tmc.2022.3186496","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2022.3186496","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:arXiv.org:2207.09616","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2207.09616","pdf_url":"https://arxiv.org/pdf/2207.09616","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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:arXiv.org:2207.09616","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2207.09616","pdf_url":"https://arxiv.org/pdf/2207.09616","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":[{"display_name":"Industry, innovation and infrastructure","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G170335043","display_name":null,"funder_award_id":"2021M700364","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G2743535806","display_name":null,"funder_award_id":"2021M691424","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G667028818","display_name":null,"funder_award_id":"62106097","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6980289824","display_name":null,"funder_award_id":"2021RC272","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W1665214252","https://openalex.org/W1686810756","https://openalex.org/W1821462560","https://openalex.org/W1861492603","https://openalex.org/W2037227137","https://openalex.org/W2119144962","https://openalex.org/W2120615054","https://openalex.org/W2144794286","https://openalex.org/W2194775991","https://openalex.org/W2340897893","https://openalex.org/W2468875367","https://openalex.org/W2524428287","https://openalex.org/W2565639579","https://openalex.org/W2585425668","https://openalex.org/W2594560857","https://openalex.org/W2605258629","https://openalex.org/W2625157458","https://openalex.org/W2751904527","https://openalex.org/W2794670651","https://openalex.org/W2797952247","https://openalex.org/W2887117815","https://openalex.org/W2897268228","https://openalex.org/W2920031528","https://openalex.org/W2949628230","https://openalex.org/W2951894856","https://openalex.org/W2962677625","https://openalex.org/W2962883027","https://openalex.org/W2963102117","https://openalex.org/W2963136578","https://openalex.org/W2963163009","https://openalex.org/W2963551763","https://openalex.org/W2973885157","https://openalex.org/W2979376538","https://openalex.org/W2981114133","https://openalex.org/W2982083293","https://openalex.org/W2982619380","https://openalex.org/W2982789873","https://openalex.org/W2990757841","https://openalex.org/W3015777882","https://openalex.org/W3024880312","https://openalex.org/W3030218575","https://openalex.org/W3035414587","https://openalex.org/W3040377978","https://openalex.org/W3049640275","https://openalex.org/W3088798822","https://openalex.org/W3100229168","https://openalex.org/W3102767875","https://openalex.org/W3106445841","https://openalex.org/W3118608800","https://openalex.org/W3127970036","https://openalex.org/W3130607817","https://openalex.org/W3138975519","https://openalex.org/W3156333129","https://openalex.org/W4220966162","https://openalex.org/W4288404646","https://openalex.org/W4297775537","https://openalex.org/W4297813615","https://openalex.org/W6637373629","https://openalex.org/W6638523607","https://openalex.org/W6677580257","https://openalex.org/W6727208969","https://openalex.org/W6757555829","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W4245926026","https://openalex.org/W3150465815","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W1997222214","https://openalex.org/W2560439919","https://openalex.org/W4389340727","https://openalex.org/W2802581102"],"abstract_inverted_index":{"Deploying":[0],"deep":[1],"convolutional":[2],"neural":[3],"network":[4],"(CNN)":[5],"models":[6,45],"on":[7],"ubiquitous":[8],"Internet":[9],"of":[10,38,43,62,215,245],"Things":[11],"(IoT)":[12],"devices":[13],"has":[14,46],"attracted":[15],"much":[16],"attention":[17],"from":[18,56],"industry":[19],"and":[20,66,87,106,127,131,149,168,180,193,253],"academia":[21],"since":[22],"it":[23],"greatly":[24],"facilitates":[25],"our":[26,237],"lives":[27],"by":[28,133,204,210,261],"providing":[29],"various":[30],"rapid-response":[31],"services.":[32],"Due":[33],"to":[34,118,144,153,158,185,189,234],"the":[35,48,92,122,139,154,182,187,205,211,216,223,250,254,259],"limited":[36],"resources":[37],"IoT":[39,155,183,255],"devices,":[40],"cloud-assisted":[41,78],"training":[42,80,206],"CNN":[44,79],"become":[47],"mainstream.":[49],"However,":[50],"most":[51],"existing":[52],"related":[53],"works":[54],"suffer":[55],"<italic":[57],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[58],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">a":[59],"large":[60,243],"amount":[61,244],"model":[63,68,84,89,161,246],"parameter":[64,85,173,247],"transmission":[65,86],"weak":[67],"robustness</i>":[69],".":[70],"To":[71],"this":[72,74],"end,":[73],"paper":[75],"proposes":[76],"a":[77,102,134,150,219,242],"framework":[81,239],"with":[82,266],"low":[83],"strong":[88],"robustness.":[90,228],"In":[91],"proposed":[93,238],"framework,":[94],"we":[95,176],"first":[96],"introduce":[97],"MonoCNN,":[98,224],"which":[99],"contains":[100],"only":[101,142,203],"few":[103,135,151],"learnable":[104,147,165],"filters,":[105],"other":[107],"filters":[108,148,192],"are":[109,115],"nonlearnable.":[110],"These":[111],"nonlearnable":[112],"filter":[113,123,166],"parameters":[114,167],"generated":[116],"according":[117],"certain":[119],"rules,":[120],"i.e.,":[121],"generation":[124],"function":[125],"(FGF),":[126],"can":[128,170,240],"be":[129],"saved":[130],"reproduced":[132],"random":[136],"seeds.":[137],"Thus,":[138,198],"cloud":[140,251],"server":[141,252],"needs":[143],"send":[145],"these":[146],"seeds":[152,169],"device.":[156],"Compared":[157],"transmitting":[159],"all":[160],"parameters,":[162],"sending":[163],"several":[164],"significantly":[171],"reduce":[172,241],"transmission.":[174],"Then,":[175],"investigate":[177],"multiple":[178,191],"FGFs":[179],"enable":[181],"device":[184,256],"use":[186],"FGF":[188,217],"generate":[190],"combine":[194],"them":[195],"into":[196],"MonoCNN.":[197],"MonoCNN":[199],"is":[200],"affected":[201],"not":[202],"data":[207],"but":[208],"also":[209],"FGF.":[212],"The":[213],"rules":[214],"play":[218],"role":[220],"in":[221],"regularizing":[222],"thereby":[225],"improving":[226,258],"its":[227],"Experimental":[229],"results":[230],"show":[231],"that":[232],"compared":[233],"state-of-the-art":[235],"methods,":[236],"transfer":[248],"between":[249],"while":[257],"performance":[260],"approximately":[262],"2.2%":[263],"when":[264],"dealing":[265],"corrupted":[267],"data.":[268]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}