{"id":"https://openalex.org/W2911812559","doi":"https://doi.org/10.1109/bigdata.2018.8622410","title":"Learning Light-Weight Edge-Deployable Privacy Models","display_name":"Learning Light-Weight Edge-Deployable Privacy Models","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2911812559","doi":"https://doi.org/10.1109/bigdata.2018.8622410","mag":"2911812559"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2018.8622410","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8622410","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-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/A5101628313","display_name":"Yeon-sup Lim","orcid":"https://orcid.org/0000-0001-7647-6185"},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yeon-sup Lim","raw_affiliation_strings":["IBM T. J. Watson Research Center, Yorktown Heights, New York, USA"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center, Yorktown Heights, New York, USA","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072108555","display_name":"Mudhakar Srivatsa","orcid":"https://orcid.org/0000-0002-5874-3750"},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mudhakar Srivatsa","raw_affiliation_strings":["IBM T. J. Watson Research Center, Yorktown Heights, New York, USA"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center, Yorktown Heights, New York, USA","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101527369","display_name":"Supriyo Chakraborty","orcid":"https://orcid.org/0000-0003-3697-0044"},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Supriyo Chakraborty","raw_affiliation_strings":["IBM T. J. Watson Research Center, Yorktown Heights, New York, USA"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center, Yorktown Heights, New York, USA","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073680362","display_name":"Ian Taylor","orcid":"https://orcid.org/0000-0001-5040-0772"},"institutions":[{"id":"https://openalex.org/I79510175","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41","country_code":"GB","type":"education","lineage":["https://openalex.org/I79510175"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ian Taylor","raw_affiliation_strings":["Cardiff University, Cardiff, UK"],"affiliations":[{"raw_affiliation_string":"Cardiff University, Cardiff, UK","institution_ids":["https://openalex.org/I79510175"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101628313"],"corresponding_institution_ids":["https://openalex.org/I4210114115"],"apc_list":null,"apc_paid":null,"fwci":0.1629,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.61579623,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1290","last_page":"1295"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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":1.0,"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/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.8352726697921753},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.6348645687103271},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.59376060962677},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.5841097235679626},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.5307949185371399},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4953986406326294},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.4781521260738373},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4422365725040436},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.4224497377872467},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38067036867141724},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3631730079650879},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.34028691053390503},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.29331672191619873},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.27665409445762634},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2250167429447174},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21975892782211304},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1686648428440094}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8352726697921753},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.6348645687103271},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.59376060962677},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5841097235679626},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.5307949185371399},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4953986406326294},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4781521260738373},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4422365725040436},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.4224497377872467},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38067036867141724},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3631730079650879},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.34028691053390503},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.29331672191619873},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.27665409445762634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2250167429447174},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21975892782211304},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1686648428440094},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2018.8622410","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8622410","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1528440931","https://openalex.org/W1982183556","https://openalex.org/W2059900053","https://openalex.org/W2073459066","https://openalex.org/W2090325367","https://openalex.org/W2099716665","https://openalex.org/W2104536218","https://openalex.org/W2119047901","https://openalex.org/W2134167315","https://openalex.org/W2135581534","https://openalex.org/W2136114025","https://openalex.org/W2152603705","https://openalex.org/W2159024459","https://openalex.org/W2161030490","https://openalex.org/W2161160262","https://openalex.org/W2294375985","https://openalex.org/W2295247008","https://openalex.org/W2542459869","https://openalex.org/W2950627632","https://openalex.org/W3120740533","https://openalex.org/W6668990524"],"related_works":["https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W4313526662","https://openalex.org/W3111395152","https://openalex.org/W4312996489","https://openalex.org/W3106131444","https://openalex.org/W3216099748","https://openalex.org/W4205963435","https://openalex.org/W4313463379","https://openalex.org/W3214037210"],"abstract_inverted_index":{"Privacy":[0],"becomes":[1],"one":[2],"of":[3,12],"the":[4],"important":[5],"issues":[6],"in":[7,42,93],"data-driven":[8,21,97],"applications.":[9,98],"The":[10],"advent":[11],"non-PC":[13],"devices":[14,19,49],"such":[15,61],"as":[16,62],"Internet-of-Things":[17],"(IoT)":[18],"for":[20,26,48,96],"applications":[22],"leads":[23],"to":[24,78],"needs":[25],"light-weight":[27],"data":[28,64,95],"anonymization.":[29],"In":[30],"this":[31],"paper,":[32],"we":[33],"develop":[34],"an":[35],"anonymization":[36,75,85],"framework":[37,57,73],"that":[38,71,88],"expedites":[39],"model":[40],"learning":[41],"parallel":[43],"and":[44,66,87],"generates":[45],"deployable":[46],"models":[47,76],"with":[50,58],"low":[51],"computing":[52],"capability.":[53],"We":[54],"evaluate":[55],"our":[56,72],"various":[59],"settings":[60],"different":[63],"schema":[65],"characteristics.":[67],"Our":[68],"results":[69],"exhibit":[70],"learns":[74],"up":[77],"16":[79],"times":[80],"faster":[81],"than":[82],"a":[83],"sequential":[84],"approach":[86],"it":[89],"preserves":[90],"enough":[91],"information":[92],"anonymized":[94]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}