{"id":"https://openalex.org/W3214570517","doi":"https://doi.org/10.1109/jiot.2021.3127715","title":"Learning the Optimal Partition for Collaborative DNN Training With Privacy Requirements","display_name":"Learning the Optimal Partition for Collaborative DNN Training With Privacy Requirements","publication_year":2021,"publication_date":"2021-11-13","ids":{"openalex":"https://openalex.org/W3214570517","doi":"https://doi.org/10.1109/jiot.2021.3127715","mag":"3214570517"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2021.3127715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2021.3127715","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Internet of Things Journal","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/A5090657130","display_name":"Letian Zhang","orcid":"https://orcid.org/0000-0001-6275-6506"},"institutions":[{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Letian Zhang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, USA","institution_ids":["https://openalex.org/I145608581"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044771462","display_name":"Jie Xu","orcid":"https://orcid.org/0000-0002-0515-1647"},"institutions":[{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jie Xu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, USA","institution_ids":["https://openalex.org/I145608581"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5090657130"],"corresponding_institution_ids":["https://openalex.org/I145608581"],"apc_list":null,"apc_paid":null,"fwci":0.9169,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.76746922,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"9","issue":"13","first_page":"11168","last_page":"11178"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9987000226974487,"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":0.9987000226974487,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.8515634536743164},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.5784921050071716},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.5570345520973206},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5327494144439697},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.4705042541027069},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4611224830150604},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44958001375198364},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4366612136363983},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4292408227920532},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.39456039667129517},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3559921979904175},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2935470938682556},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.28645437955856323},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1881762146949768}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8515634536743164},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5784921050071716},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.5570345520973206},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5327494144439697},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.4705042541027069},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4611224830150604},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44958001375198364},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4366612136363983},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4292408227920532},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.39456039667129517},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3559921979904175},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2935470938682556},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.28645437955856323},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1881762146949768},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/jiot.2021.3127715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2021.3127715","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3136170333","display_name":null,"funder_award_id":"2006630","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6070057448","display_name":null,"funder_award_id":"2044991","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6560142389","display_name":null,"funder_award_id":"2029858","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8997940623","display_name":null,"funder_award_id":"2033681","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1642806187","https://openalex.org/W2009551863","https://openalex.org/W2086320043","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2559655401","https://openalex.org/W2596378825","https://openalex.org/W2615459164","https://openalex.org/W2724616073","https://openalex.org/W2760063890","https://openalex.org/W2775394714","https://openalex.org/W2808052525","https://openalex.org/W2809414288","https://openalex.org/W2892952080","https://openalex.org/W2904819746","https://openalex.org/W2920031528","https://openalex.org/W2931743911","https://openalex.org/W2962755172","https://openalex.org/W2963122961","https://openalex.org/W2963125010","https://openalex.org/W2963918968","https://openalex.org/W2963989815","https://openalex.org/W2967733054","https://openalex.org/W2969644839","https://openalex.org/W2971714613","https://openalex.org/W2980856918","https://openalex.org/W2981114133","https://openalex.org/W3024862772","https://openalex.org/W3103638723","https://openalex.org/W3153345798","https://openalex.org/W3173790749","https://openalex.org/W4236099117","https://openalex.org/W6629353124","https://openalex.org/W6637373629","https://openalex.org/W6677580257","https://openalex.org/W6682132143","https://openalex.org/W6726651112","https://openalex.org/W6752924385"],"related_works":["https://openalex.org/W3154796165","https://openalex.org/W2979760315","https://openalex.org/W4324372666","https://openalex.org/W4225706866","https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W4313339048","https://openalex.org/W4386004629","https://openalex.org/W4321606826","https://openalex.org/W2942586735"],"abstract_inverted_index":{"With":[0,137],"the":[1,18,74,112,121,126,131,134,138,145,151,167,172,205,251],"growth":[2],"of":[3,6,49,133,207,228,249],"intelligent":[4],"Internet":[5],"Things":[7],"(IoT)":[8],"applications":[9],"and":[10,23,96,115,215,232,236,255],"services,":[11],"deep":[12],"neural":[13],"network":[14],"(DNN)":[15],"has":[16,210],"become":[17],"core":[19],"method":[20],"to":[21,37,55,77,124,143,149,164],"power":[22],"enable":[24],"increased":[25],"functionality":[26],"in":[27,247],"many":[28],"smart":[29],"IoT":[30],"devices.":[31],"However,":[32],"DNN":[33,56,88,105,181],"training":[34,57,75,89,127,135,153,253],"is":[35,58,176,216],"difficult":[36],"carry":[38],"out":[39],"on":[40,61,111,120,171,180,186],"end":[41,94,113,230],"devices":[42],"because":[43,71],"it":[44,72],"requires":[45],"a":[46,62,86,92,97,104,107,116,187,196,224],"great":[47],"deal":[48],"computational":[50],"power.":[51],"The":[52],"conventional":[53],"approach":[54,68,175],"generally":[59],"implemented":[60],"powerful":[63,98],"computation":[64],"server;":[65],"nevertheless,":[66],"this":[67,82],"violates":[69],"privacy":[70,132],"exposes":[73],"data":[76],"curious":[78],"service":[79],"providers.":[80],"In":[81,192],"article,":[83],"we":[84,155,194],"consider":[85],"collaborative":[87],"system":[90,226],"between":[91],"resource-constrained":[93],"device":[95,114,231],"edge":[99,122,234],"server,":[100,235],"aiming":[101],"at":[102],"partitioning":[103,182],"into":[106],"front-end":[108],"part":[109,118],"running":[110,119],"back-end":[117],"server":[123],"accelerate":[125],"process":[128],"while":[129],"preserving":[130,256],"data.":[136],"key":[139],"challenge":[140],"being":[141],"how":[142],"locate":[144],"optimal":[146,168],"partition":[147,169],"point":[148,170],"minimize":[150],"end-to-end":[152,252],"delay,":[154],"propose":[156],"an":[157,229,233],"online":[158],"learning":[159,200,213],"module,":[160],"called":[161,202],"learn-to-split":[162],"(L2S),":[163],"adaptively":[165],"learn":[166],"fly.":[173],"This":[174],"unlike":[177],"existing":[178],"efforts":[179],"that":[183,240],"relies":[184],"heavily":[185],"dedicated":[188],"offline":[189],"profiling":[190],"stage.":[191],"particular,":[193],"design":[195],"new":[197],"contextual":[198],"bandit":[199],"algorithm":[201],"LinUCB-E":[203],"as":[204],"basis":[206],"L2S,":[208],"which":[209],"provable":[211],"theoretical":[212],"performance":[214],"ultralightweight":[217],"for":[218],"easy":[219],"real-world":[220],"implementation.":[221],"We":[222],"implement":[223],"prototype":[225],"consisting":[227],"experimental":[237],"results":[238],"demonstrate":[239],"L2S":[241],"can":[242],"significantly":[243],"outperform":[244],"state-of-the-art":[245],"benchmarks":[246],"terms":[248],"reducing":[250],"delay":[254],"privacy.":[257]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}