{"id":"https://openalex.org/W3114473259","doi":"https://doi.org/10.1145/3432208","title":"PMC","display_name":"PMC","publication_year":2020,"publication_date":"2020-12-17","ids":{"openalex":"https://openalex.org/W3114473259","doi":"https://doi.org/10.1145/3432208","mag":"3114473259"},"language":"en","primary_location":{"id":"doi:10.1145/3432208","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3432208","pdf_url":null,"source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","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/A5101497182","display_name":"Bingyan Liu","orcid":"https://orcid.org/0000-0003-2613-9863"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingyan Liu","raw_affiliation_strings":["MOE Key Lab of HCST, Dept of Computer Science, School of EECS, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MOE Key Lab of HCST, Dept of Computer Science, School of EECS, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100628298","display_name":"Yuanchun Li","orcid":"https://orcid.org/0000-0002-1591-2526"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanchun Li","raw_affiliation_strings":["Microsoft Research, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102880548","display_name":"Yunxin Liu","orcid":"https://orcid.org/0000-0001-7352-8955"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunxin Liu","raw_affiliation_strings":["Microsoft Research, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021450973","display_name":"Yao Guo","orcid":"https://orcid.org/0000-0001-5064-5286"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Guo","raw_affiliation_strings":["MOE Key Lab of HCST, Dept of Computer Science, School of EECS, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MOE Key Lab of HCST, Dept of Computer Science, School of EECS, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101636662","display_name":"Xiangqun Chen","orcid":"https://orcid.org/0000-0002-7366-5906"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangqun Chen","raw_affiliation_strings":["MOE Key Lab of HCST, Dept of Computer Science, School of EECS, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MOE Key Lab of HCST, Dept of Computer Science, School of EECS, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.0408,"has_fulltext":false,"cited_by_count":94,"citation_normalized_percentile":{"value":0.97601082,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"4","issue":"4","first_page":"1","last_page":"25"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9961000084877014,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9932000041007996,"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":0.8051416277885437},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.7609726190567017},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.757797360420227},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.6401944160461426},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.6278043985366821},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.6152592301368713},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.5614219307899475},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.5494734644889832},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.529655396938324},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.491986483335495},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.47057172656059265},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.4645497500896454},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.44203639030456543},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4354178309440613},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.42551150918006897},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3883359730243683},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.29869452118873596},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0968569815158844},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09023848176002502}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8051416277885437},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.7609726190567017},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.757797360420227},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.6401944160461426},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.6278043985366821},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.6152592301368713},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.5614219307899475},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5494734644889832},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.529655396938324},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.491986483335495},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.47057172656059265},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4645497500896454},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.44203639030456543},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4354178309440613},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.42551150918006897},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3883359730243683},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29869452118873596},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0968569815158844},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09023848176002502},{"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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3432208","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3432208","pdf_url":null,"source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4699999988079071}],"awards":[{"id":"https://openalex.org/G7448242209","display_name":"\u9762\u5411\u79fb\u52a8\u5e94\u7528\u7684\u7ec6\u7c92\u5ea6\u8bbf\u95ee\u63a7\u5236\u673a\u5236","funder_award_id":"61772042","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G957179754","display_name":null,"funder_award_id":"2016YFB1000105","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1565746575","https://openalex.org/W1873763122","https://openalex.org/W1981029888","https://openalex.org/W2062291443","https://openalex.org/W2102605133","https://openalex.org/W2104094955","https://openalex.org/W2104636679","https://openalex.org/W2107881300","https://openalex.org/W2108598243","https://openalex.org/W2112796928","https://openalex.org/W2118067797","https://openalex.org/W2135581534","https://openalex.org/W2165698076","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2473418344","https://openalex.org/W2507318699","https://openalex.org/W2530144925","https://openalex.org/W2593768305","https://openalex.org/W2627183927","https://openalex.org/W2774833025","https://openalex.org/W2786945063","https://openalex.org/W2795155917","https://openalex.org/W2807214292","https://openalex.org/W2897556776","https://openalex.org/W2903650079","https://openalex.org/W2904826931","https://openalex.org/W2907337720","https://openalex.org/W2951904586","https://openalex.org/W2962788286","https://openalex.org/W2963351448","https://openalex.org/W2963446712","https://openalex.org/W2963674932","https://openalex.org/W2981431987","https://openalex.org/W2982204955","https://openalex.org/W2986381065","https://openalex.org/W2997546679","https://openalex.org/W3000584766","https://openalex.org/W3012606812","https://openalex.org/W3090119274","https://openalex.org/W3099610985","https://openalex.org/W3102407811"],"related_works":["https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W3111395152","https://openalex.org/W4313526662","https://openalex.org/W4313463218","https://openalex.org/W3106131444","https://openalex.org/W3216099748","https://openalex.org/W4205963435","https://openalex.org/W4312996489","https://openalex.org/W3214037210"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"models":[2],"have":[3],"been":[4],"deployed":[5],"to":[6,34,42,60,74,83,95,115,134,155],"a":[7,69,77,93,136,171,177],"wide":[8],"range":[9],"of":[10,185],"edge":[11,18,40,54,84,118,141],"devices.":[12],"Since":[13],"the":[14,23,26,36,81,100,117,122,127,131,140,156,183],"data":[15,52,119,124,133,181],"distribution":[16,113],"on":[17,126,160,179],"devices":[19,55,85],"may":[20],"differ":[21],"from":[22,53,80,99],"cloud":[24,82,123],"where":[25],"model":[27,37,71,79,108,138,168],"was":[28],"trained,":[29],"it":[30],"is":[31,48,56],"typically":[32],"desirable":[33],"customize":[35,76],"for":[38,107,139],"each":[39],"device":[41],"improve":[43,167],"accuracy.":[44],"However,":[45],"such":[46],"customization":[47,72],"hard":[49],"because":[50],"collecting":[51,87],"usually":[57],"prohibited":[58],"due":[59],"privacy":[61,147],"concerns.":[62],"In":[63],"this":[64,144],"paper,":[65],"we":[66,91],"propose":[67],"PMC,":[68],"privacy-preserving":[70],"framework":[73],"effectively":[75],"CNN":[78],"without":[86],"raw":[88],"data.":[89],"Instead,":[90],"introduce":[92],"method":[94],"extract":[96],"statistical":[97],"information":[98],"edge,":[101],"which":[102],"contains":[103],"adequate":[104],"domain-related":[105],"knowledge":[106],"customization.":[109,175],"PMC":[110,165,186],"uses":[111,130],"Gaussian":[112,157],"parameters":[114],"describe":[116],"distribution,":[120],"reweights":[121],"based":[125],"parameters,":[128],"and":[129],"reweighted":[132],"train":[135],"specialized":[137],"device.":[142],"During":[143],"process,":[145],"differential":[146],"can":[148,166],"be":[149],"enforced":[150],"by":[151,170],"adding":[152],"computed":[153],"noises":[154],"parameters.":[158],"Experiments":[159],"public":[161],"datasets":[162],"show":[163],"that":[164],"accuracy":[169],"large":[172],"margin":[173],"through":[174],"Finally,":[176],"study":[178],"user-generated":[180],"demonstrates":[182],"effectiveness":[184],"in":[187],"real-world":[188],"settings.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-13T07:54:00.901334","created_date":"2021-01-05T00:00:00"}