{"id":"https://openalex.org/W3009048827","doi":"https://doi.org/10.1109/icoin48656.2020.9016486","title":"Privacy-Sensitive Parallel Split Learning","display_name":"Privacy-Sensitive Parallel Split Learning","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3009048827","doi":"https://doi.org/10.1109/icoin48656.2020.9016486","mag":"3009048827"},"language":"en","primary_location":{"id":"doi:10.1109/icoin48656.2020.9016486","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icoin48656.2020.9016486","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Information Networking (ICOIN)","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/A5007465960","display_name":"Joohyung Jeon","orcid":null},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Joohyung Jeon","raw_affiliation_strings":["School of Computer Science and Engineering, Chung-Ang University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Chung-Ang University, Seoul, Korea","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049202871","display_name":"Joongheon Kim","orcid":"https://orcid.org/0000-0003-2126-768X"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Joongheon Kim","raw_affiliation_strings":["Artificial Intelligence and Mobility Lab., School of Electrical Engineering, Korea University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence and Mobility Lab., School of Electrical Engineering, Korea University, Seoul, Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8749,"has_fulltext":false,"cited_by_count":66,"citation_normalized_percentile":{"value":0.92640532,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"2020","issue":null,"first_page":"7","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T11614","display_name":"Cloud Data Security Solutions","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10237","display_name":"Cryptography and Data Security","score":0.989799976348877,"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/overfitting","display_name":"Overfitting","score":0.964099645614624},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8588888645172119},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.7227208614349365},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.622054934501648},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.587733268737793},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5729414224624634},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5395597219467163},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4279109537601471},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.41370153427124023},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35206669569015503},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.18746265769004822},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.10213536024093628},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09018626809120178}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.964099645614624},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8588888645172119},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.7227208614349365},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.622054934501648},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.587733268737793},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5729414224624634},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5395597219467163},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4279109537601471},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.41370153427124023},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35206669569015503},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.18746265769004822},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.10213536024093628},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09018626809120178},{"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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icoin48656.2020.9016486","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icoin48656.2020.9016486","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Information Networking (ICOIN)","raw_type":"proceedings-article"},{"id":"mag:3088174597","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002289832021614","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2053637704","https://openalex.org/W2336650964","https://openalex.org/W2541884796","https://openalex.org/W2903470619","https://openalex.org/W2904308246","https://openalex.org/W2922799708","https://openalex.org/W2963209930","https://openalex.org/W4289147263","https://openalex.org/W4297791730","https://openalex.org/W4318619660","https://openalex.org/W6663928093","https://openalex.org/W6703420464","https://openalex.org/W6728757088","https://openalex.org/W6756436328","https://openalex.org/W6757118068"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4297676672","https://openalex.org/W4281702477","https://openalex.org/W4378510483","https://openalex.org/W4376166922","https://openalex.org/W2490526372","https://openalex.org/W3099765033"],"abstract_inverted_index":{"Mobile":[0],"devices":[1],"and":[2,85,105],"medical":[3],"centers":[4],"have":[5,111],"access":[6],"to":[7,34,79],"rich":[8],"data":[9,44,86,101],"that":[10,75,109,117],"is":[11,130],"suitable":[12],"for":[13,29],"training":[14,83,114,129],"deep":[15,31,124],"learning":[16,32,73,125],"models.":[17],"However,":[18],"these":[19,43],"highly":[20],"distributed":[21],"datasets":[22],"are":[23],"privacy":[24,27,45],"sensitive":[25],"making":[26],"issues":[28],"applying":[30],"techniques":[33],"the":[35,48,89,97,107,113,122,128],"problem":[36],"at":[37],"hand.":[38],"Split":[39],"Learning":[40],"can":[41,120],"solve":[42],"problems,":[46],"but":[47,60],"possibility":[49],"of":[50,99],"overfitting":[51,77],"exists":[52],"because":[53],"each":[54,103],"node":[55,104],"doesn't":[56],"train":[57],"in":[58,61,81],"parallel":[59,71],"a":[62,70,82],"sequential":[63],"manner.":[64],"In":[65],"this":[66],"paper,":[67],"we":[68],"propose":[69],"split":[72],"method":[74,92],"prevents":[76],"due":[78],"differences":[80],"order":[84],"size":[87,95],"by":[88],"node.":[90],"Our":[91],"selects":[93],"mini-batch":[94],"considering":[96],"amount":[98],"local":[100],"on":[102],"synchronizes":[106],"layers":[108],"nodes":[110,119],"during":[112],"process":[115],"so":[116],"all":[118],"use":[121],"equivalent":[123],"model":[126],"when":[127],"complete.":[131]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}