{"id":"https://openalex.org/W4285307936","doi":"https://doi.org/10.1109/lcomm.2022.3180113","title":"Communication-Efficient and Byzantine-Robust Differentially Private Federated Learning","display_name":"Communication-Efficient and Byzantine-Robust Differentially Private Federated Learning","publication_year":2022,"publication_date":"2022-06-03","ids":{"openalex":"https://openalex.org/W4285307936","doi":"https://doi.org/10.1109/lcomm.2022.3180113"},"language":"en","primary_location":{"id":"doi:10.1109/lcomm.2022.3180113","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2022.3180113","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Communications Letters","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/A5073620714","display_name":"Min Li","orcid":"https://orcid.org/0000-0002-1259-6441"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Li","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-1259-6441","affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100729507","display_name":"Di Xiao","orcid":"https://orcid.org/0000-0002-6958-5807"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Xiao","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-6958-5807","affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101984401","display_name":"Jia Liang","orcid":"https://orcid.org/0000-0003-3478-1741"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Liang","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060587038","display_name":"Hui Huang","orcid":"https://orcid.org/0000-0002-1049-9023"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Huang","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-1049-9023","affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":null,"apc_paid":null,"fwci":0.813,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.76057234,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"26","issue":"8","first_page":"1725","last_page":"1729"},"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10237","display_name":"Cryptography and Data Security","score":0.9965000152587891,"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/robustness","display_name":"Robustness (evolution)","score":0.8407119512557983},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7986423373222351},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.6499141454696655},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.44168147444725037},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.43845996260643005},{"id":"https://openalex.org/keywords/distributed-learning","display_name":"Distributed learning","score":0.4368322491645813},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3856290578842163},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3503558337688446},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.34914883971214294},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.34029078483581543},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3296589255332947}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8407119512557983},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7986423373222351},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.6499141454696655},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.44168147444725037},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.43845996260643005},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.4368322491645813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3856290578842163},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3503558337688446},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.34914883971214294},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.34029078483581543},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3296589255332947},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lcomm.2022.3180113","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2022.3180113","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Communications Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1896701456","display_name":"\u517c\u987e\u56fe\u50cf\u6570\u636e\u9690\u79c1\u4fdd\u62a4\u4e0e\u53ef\u7528\u6027\u7684\u538b\u7f29\u611f\u77e5\u65b9\u6cd5\u7814\u7a76","funder_award_id":"62072063","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3081894648","display_name":null,"funder_award_id":"2020YF B1805400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7535396302","display_name":null,"funder_award_id":"CYB21062","funder_id":"https://openalex.org/F4320335872","funder_display_name":"Chongqing Graduate Student Research Innovation Project"}],"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},{"id":"https://openalex.org/F4320335872","display_name":"Chongqing Graduate Student Research Innovation Project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2025237502","https://openalex.org/W2027595342","https://openalex.org/W2073437729","https://openalex.org/W2112038498","https://openalex.org/W2908007030","https://openalex.org/W3006979403","https://openalex.org/W3016632787","https://openalex.org/W3021654819","https://openalex.org/W3036772957","https://openalex.org/W3107554447","https://openalex.org/W3109884195","https://openalex.org/W3111919937","https://openalex.org/W3135434750","https://openalex.org/W3153347425","https://openalex.org/W3162868875","https://openalex.org/W3180804458","https://openalex.org/W3205621988","https://openalex.org/W4250955649","https://openalex.org/W6728757088","https://openalex.org/W6748019269","https://openalex.org/W6757643485","https://openalex.org/W6759238902","https://openalex.org/W6774501275"],"related_works":["https://openalex.org/W3036561416","https://openalex.org/W4317941881","https://openalex.org/W2998530156","https://openalex.org/W3035996294","https://openalex.org/W4323521275","https://openalex.org/W3013510494","https://openalex.org/W4229067761","https://openalex.org/W3091296419","https://openalex.org/W3145562225","https://openalex.org/W3210293592"],"abstract_inverted_index":{"Federated":[0],"learning,":[1,8],"as":[2,16],"a":[3,11,57],"novel":[4],"paradigm":[5],"of":[6,13],"machine":[7],"is":[9,63],"facing":[10],"series":[12],"challenges":[14],"such":[15],"efficiency,":[17,56],"privacy":[18,28],"and":[19,50,71,88],"robustness.":[20],"The":[21],"recently":[22],"proposed":[23,64],"EF-DP-":[24,77],"SIGNSGD":[25,31,62,80],"provides":[26],"theoretical":[27],"protection":[29],"for":[30],"with":[32,76,93],"majority":[33],"vote":[34],"but":[35],"weakens":[36],"the":[37,54,86,99],"capability":[38],"to":[39,43,95],"resist":[40],"Byzantine":[41,91],"attacks":[42],"some":[44],"extent.":[45],"To":[46],"overcome":[47],"this":[48],"shortcoming":[49],"further":[51],"greatly":[52],"improve":[53,85],"communication":[55,101],"new":[58],"method":[59],"called":[60],"PCS-DP-":[61,79],"via":[65],"using":[66],"parallel":[67],"compressed":[68],"sensing.":[69],"Simulation":[70],"analysis":[72],"demonstrate":[73],"that":[74],"compared":[75],"SIGNSGD,":[78],"can":[81],"match":[82],"or":[83],"even":[84],"accuracy":[87],"enjoy":[89],"stronger":[90],"robustness":[92],"50%":[94],"80%":[96],"improvement":[97],"in":[98],"uplink":[100],"efficiency.":[102]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
