{"id":"https://openalex.org/W3204009762","doi":"https://doi.org/10.1145/3472456.3473513","title":"Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection","display_name":"Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection","publication_year":2021,"publication_date":"2021-08-09","ids":{"openalex":"https://openalex.org/W3204009762","doi":"https://doi.org/10.1145/3472456.3473513","mag":"3204009762"},"language":"en","primary_location":{"id":"doi:10.1145/3472456.3473513","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3472456.3473513","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"50th International Conference on Parallel Processing","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/A5012349805","display_name":"Shulai Zhang","orcid":"https://orcid.org/0000-0002-0802-7203"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shulai Zhang","raw_affiliation_strings":["Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042718225","display_name":"Zirui Li","orcid":"https://orcid.org/0000-0001-7056-4264"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zirui Li","raw_affiliation_strings":["Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377840","display_name":"Quan Chen","orcid":"https://orcid.org/0000-0001-5832-0347"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quan Chen","raw_affiliation_strings":["Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046528137","display_name":"Wenli Zheng","orcid":"https://orcid.org/0000-0002-5010-2326"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenli Zheng","raw_affiliation_strings":["Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003939279","display_name":"Jingwen Leng","orcid":"https://orcid.org/0000-0002-5660-5493"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingwen Leng","raw_affiliation_strings":["Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039318240","display_name":"Minyi Guo","orcid":"https://orcid.org/0000-0003-0034-2302"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minyi Guo","raw_affiliation_strings":["Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5012349805"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":4.079,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.94898417,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"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/T10237","display_name":"Cryptography and Data Security","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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9908999800682068,"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/homomorphic-encryption","display_name":"Homomorphic encryption","score":0.9170724153518677},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.8160815238952637},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8067426085472107},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6061927080154419},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.5921410918235779},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5825165510177612},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.5388967394828796},{"id":"https://openalex.org/keywords/cryptographic-primitive","display_name":"Cryptographic primitive","score":0.48314470052719116},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.46077626943588257},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45273369550704956},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4422440826892853},{"id":"https://openalex.org/keywords/skewness","display_name":"Skewness","score":0.43333619832992554},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40283024311065674},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.378492534160614},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.321224570274353},{"id":"https://openalex.org/keywords/cryptographic-protocol","display_name":"Cryptographic protocol","score":0.2540801763534546},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.25317156314849854},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08245441317558289}],"concepts":[{"id":"https://openalex.org/C158338273","wikidata":"https://www.wikidata.org/wiki/Q2154943","display_name":"Homomorphic encryption","level":3,"score":0.9170724153518677},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.8160815238952637},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8067426085472107},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6061927080154419},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.5921410918235779},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5825165510177612},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.5388967394828796},{"id":"https://openalex.org/C15927051","wikidata":"https://www.wikidata.org/wiki/Q246593","display_name":"Cryptographic primitive","level":4,"score":0.48314470052719116},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.46077626943588257},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45273369550704956},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4422440826892853},{"id":"https://openalex.org/C122342681","wikidata":"https://www.wikidata.org/wiki/Q330828","display_name":"Skewness","level":2,"score":0.43333619832992554},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40283024311065674},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.378492534160614},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.321224570274353},{"id":"https://openalex.org/C33884865","wikidata":"https://www.wikidata.org/wiki/Q1254335","display_name":"Cryptographic protocol","level":3,"score":0.2540801763534546},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.25317156314849854},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08245441317558289},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3472456.3473513","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3472456.3473513","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"50th International Conference on Parallel Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2132172731","https://openalex.org/W2148143831","https://openalex.org/W2165837041","https://openalex.org/W2541884796","https://openalex.org/W2591882872","https://openalex.org/W2902229711","https://openalex.org/W2903890850","https://openalex.org/W2963691377","https://openalex.org/W2970606380","https://openalex.org/W3006555759","https://openalex.org/W3034713518","https://openalex.org/W3042621011","https://openalex.org/W3043303805","https://openalex.org/W3043758338","https://openalex.org/W3047304572","https://openalex.org/W3105122387","https://openalex.org/W3118608800","https://openalex.org/W6773271130"],"related_works":["https://openalex.org/W2189529952","https://openalex.org/W3122032734","https://openalex.org/W2539930818","https://openalex.org/W28389960","https://openalex.org/W4392660679","https://openalex.org/W2956355137","https://openalex.org/W1499074627","https://openalex.org/W4362706650","https://openalex.org/W1775939922","https://openalex.org/W1972792640"],"abstract_inverted_index":{"Federated":[0],"learning":[1,7],"(FL)":[2],"is":[3,125],"a":[4,15,95],"distributed":[5],"machine":[6],"paradigm":[8],"that":[9,123],"allows":[10,104],"clients":[11,27,62,105],"to":[12,106],"collaboratively":[13],"train":[14],"model":[16],"over":[17,84],"their":[18,113],"own":[19],"local":[20],"data.":[21],"FL":[22,47,77,83],"promises":[23],"the":[24,44,52,57,64,71,80,89,116,128,133],"privacy":[25,114],"of":[26,46,73,82,118],"and":[28,63,78,139],"its":[29],"security":[30],"can":[31],"be":[32],"strengthened":[33],"by":[34],"cryptographic":[35],"methods":[36],"such":[37],"as":[38],"additively":[39],"homomorphic":[40],"encryption":[41,138],"(HE).":[42],"However,":[43],"efficiency":[45],"could":[48],"seriously":[49],"suffer":[50],"from":[51],"statistical":[53,90],"heterogeneity":[54,91],"in":[55,76,109],"both":[56],"data":[58],"distribution":[59,66],"discrepancy":[60],"among":[61],"global":[65],"skewness.":[67],"We":[68],"mathematically":[69],"demonstrate":[70],"cause":[72],"performance":[74,81],"degradation":[75],"examine":[79],"various":[85],"datasets.":[86],"To":[87],"tackle":[88],"problem,":[92],"we":[93],"propose":[94],"pluggable":[96],"system-level":[97],"client":[98],"selection":[99],"method":[100,131],"named":[101],"Dubhe,":[102],"which":[103],"proactively":[107],"participate":[108],"training,":[110],"meanwhile":[111],"preserving":[112],"with":[115,127,136],"assistance":[117],"HE.":[119],"Experimental":[120],"results":[121],"show":[122],"Dubhe":[124],"comparable":[126],"optimal":[129],"greedy":[130],"on":[132],"classification":[134],"accuracy,":[135],"negligible":[137],"communication":[140],"overhead.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
