{"id":"https://openalex.org/W2964829966","doi":"https://doi.org/10.1007/978-3-030-63076-8_19","title":"Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction","display_name":"Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W2964829966","doi":"https://doi.org/10.1007/978-3-030-63076-8_19","mag":"2964829966"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-63076-8_19","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-63076-8_19","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"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/A5046409565","display_name":"Xiawei Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xiawei Guo","raw_affiliation_strings":["4Paradigm Inc., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"4Paradigm Inc., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072484211","display_name":"Quanming Yao","orcid":"https://orcid.org/0000-0001-8944-8618"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Quanming Yao","raw_affiliation_strings":["4Paradigm Inc., Beijing, China","Department of Computer Science and Engineering, HKUST, Kowloon, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"4Paradigm Inc., Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Science and Engineering, HKUST, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070273088","display_name":"James T. Kwok","orcid":"https://orcid.org/0000-0002-4828-8248"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"James Kwok","raw_affiliation_strings":["Department of Computer Science and Engineering, HKUST, Kowloon, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, HKUST, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032604295","display_name":"Wei-Wei Tu","orcid":"https://orcid.org/0000-0002-2407-0252"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weiwei Tu","raw_affiliation_strings":["4Paradigm Inc., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"4Paradigm Inc., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046260304","display_name":"Yuqiang Chen","orcid":"https://orcid.org/0000-0002-5543-2500"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuqiang Chen","raw_affiliation_strings":["4Paradigm Inc., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"4Paradigm Inc., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100527530","display_name":"Wenyuan Dai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenyuan Dai","raw_affiliation_strings":["4Paradigm Inc., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"4Paradigm Inc., Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100636286","display_name":"Qiang Yang","orcid":"https://orcid.org/0000-0001-5059-8360"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qiang Yang","raw_affiliation_strings":["Department of Computer Science and Engineering, HKUST, Kowloon, Hong Kong","Hong Kong University of Science and Technology, Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, HKUST, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5046409565"],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.69,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.71865777,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"269","last_page":"283"},"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9700999855995178,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9585000276565552,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8827793598175049},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.8365194797515869},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.7684974670410156},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6609566807746887},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5650465488433838},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5286581516265869},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5089418888092041},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49930405616760254},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48798149824142456},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4789605438709259},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.47116169333457947},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.25413501262664795}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8827793598175049},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.8365194797515869},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.7684974670410156},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6609566807746887},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5650465488433838},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5286581516265869},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5089418888092041},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49930405616760254},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48798149824142456},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4789605438709259},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.47116169333457947},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.25413501262664795},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-030-63076-8_19","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-63076-8_19","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:repository.ust.hk:1783.1-108862","is_oa":false,"landing_page_url":"http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=0302-9743&rft.volume=v. 12500 LNCS&rft.issue=&rft.date=2020&rft.spage=269&rft.aulast=Guo&rft.aufirst=X.&rft.atitle=Privacy-Preserving+Stacking+with+Application+to+Cross-organizational+Diabetes+Prediction&rft.title=Lecture+Notes+in+Computer+Science","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Book chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W28412257","https://openalex.org/W605727707","https://openalex.org/W1480376833","https://openalex.org/W1493526108","https://openalex.org/W1538493107","https://openalex.org/W1645816215","https://openalex.org/W1838161406","https://openalex.org/W1873763122","https://openalex.org/W1974392920","https://openalex.org/W1992926795","https://openalex.org/W2023294425","https://openalex.org/W2024046085","https://openalex.org/W2027595342","https://openalex.org/W2053637704","https://openalex.org/W2085909071","https://openalex.org/W2102150307","https://openalex.org/W2110287632","https://openalex.org/W2112796928","https://openalex.org/W2119874464","https://openalex.org/W2160943791","https://openalex.org/W2164278908","https://openalex.org/W2165698076","https://openalex.org/W2186926886","https://openalex.org/W2263253503","https://openalex.org/W2470101972","https://openalex.org/W2473418344","https://openalex.org/W2742912327","https://openalex.org/W2787894218","https://openalex.org/W2912934387","https://openalex.org/W2913413968","https://openalex.org/W2914369697","https://openalex.org/W2950602864","https://openalex.org/W3100344990","https://openalex.org/W4232478844"],"related_works":["https://openalex.org/W2950475743","https://openalex.org/W4386603768","https://openalex.org/W2886711096","https://openalex.org/W4380078352","https://openalex.org/W3046591097","https://openalex.org/W2590796488","https://openalex.org/W4389249638","https://openalex.org/W2734358244","https://openalex.org/W4388700941","https://openalex.org/W3015200942"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}