{"id":"https://openalex.org/W4387870953","doi":"https://doi.org/10.1109/mlsp55844.2023.10285949","title":"Privacy-Preserving Federated Primal-Dual Learning for Non-Convex Problems With Non-Smooth Regularization","display_name":"Privacy-Preserving Federated Primal-Dual Learning for Non-Convex Problems With Non-Smooth Regularization","publication_year":2023,"publication_date":"2023-09-17","ids":{"openalex":"https://openalex.org/W4387870953","doi":"https://doi.org/10.1109/mlsp55844.2023.10285949"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp55844.2023.10285949","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp55844.2023.10285949","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP)","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/A5100633409","display_name":"Yiwei Li","orcid":"https://orcid.org/0000-0002-8380-4164"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yiwei Li","raw_affiliation_strings":["National Tsing Hua University,Institute of Communications Engineering,Hsinchu,Taiwan","Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Tsing Hua University,Institute of Communications Engineering,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I25846049"]},{"raw_affiliation_string":"Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079999978","display_name":"Chien\u2010Wei Huang","orcid":"https://orcid.org/0000-0001-5753-9654"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chien-Wei Huang","raw_affiliation_strings":["National Tsing Hua University,Institute of Communications Engineering,Hsinchu,Taiwan","Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Tsing Hua University,Institute of Communications Engineering,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I25846049"]},{"raw_affiliation_string":"Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100328224","display_name":"Shuai Wang","orcid":"https://orcid.org/0000-0001-6457-9478"},"institutions":[{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"education","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Shuai Wang","raw_affiliation_strings":["Singapore University of Technology and Design,Information Systems Technology and Design,Singapore","Information Systems Technology and Design, Singapore University of Technology and Design, Singapore"],"affiliations":[{"raw_affiliation_string":"Singapore University of Technology and Design,Information Systems Technology and Design,Singapore","institution_ids":["https://openalex.org/I152815399"]},{"raw_affiliation_string":"Information Systems Technology and Design, Singapore University of Technology and Design, Singapore","institution_ids":["https://openalex.org/I152815399"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061813280","display_name":"Chong\u2010Yung Chi","orcid":"https://orcid.org/0000-0001-5004-7155"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chong-Yung Chi","raw_affiliation_strings":["National Tsing Hua University,Institute of Communications Engineering,Hsinchu,Taiwan","Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Tsing Hua University,Institute of Communications Engineering,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I25846049"]},{"raw_affiliation_string":"Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030858163","display_name":"Tony Q. S. Quek","orcid":"https://orcid.org/0000-0002-4037-3149"},"institutions":[{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"education","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tony Q. S. Quek","raw_affiliation_strings":["Singapore University of Technology and Design,Information Systems Technology and Design,Singapore","Information Systems Technology and Design, Singapore University of Technology and Design, Singapore"],"affiliations":[{"raw_affiliation_string":"Singapore University of Technology and Design,Information Systems Technology and Design,Singapore","institution_ids":["https://openalex.org/I152815399"]},{"raw_affiliation_string":"Information Systems Technology and Design, Singapore University of Technology and Design, Singapore","institution_ids":["https://openalex.org/I152815399"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100633409"],"corresponding_institution_ids":["https://openalex.org/I25846049"],"apc_list":null,"apc_paid":null,"fwci":0.8741,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.79202315,"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":"1","last_page":"6"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.967199981212616,"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"}},{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9532999992370605,"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/differential-privacy","display_name":"Differential privacy","score":0.788090705871582},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7140015363693237},{"id":"https://openalex.org/keywords/convex-function","display_name":"Convex function","score":0.6997148990631104},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.5762329697608948},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5610842108726501},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.5458657145500183},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5349375605583191},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5269917845726013},{"id":"https://openalex.org/keywords/distributed-learning","display_name":"Distributed learning","score":0.46476587653160095},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.45521682500839233},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4522002041339874},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44188326597213745},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3134497404098511},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1811828315258026}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.788090705871582},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7140015363693237},{"id":"https://openalex.org/C145446738","wikidata":"https://www.wikidata.org/wiki/Q319913","display_name":"Convex function","level":3,"score":0.6997148990631104},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.5762329697608948},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5610842108726501},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.5458657145500183},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5349375605583191},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5269917845726013},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.46476587653160095},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.45521682500839233},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4522002041339874},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44188326597213745},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3134497404098511},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1811828315258026},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mlsp55844.2023.10285949","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp55844.2023.10285949","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309618","display_name":"Ministry of Science and Technology","ror":"https://ror.org/02b207r52"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1557833142","https://openalex.org/W2295652899","https://openalex.org/W2399269434","https://openalex.org/W2473418344","https://openalex.org/W2963748878","https://openalex.org/W2994684563","https://openalex.org/W2995022099","https://openalex.org/W2995073985","https://openalex.org/W3006555759","https://openalex.org/W3038022836","https://openalex.org/W3093809760","https://openalex.org/W3204468048","https://openalex.org/W3211607296","https://openalex.org/W4205228770","https://openalex.org/W4224979421","https://openalex.org/W4244393449","https://openalex.org/W4250658187","https://openalex.org/W4312765974","https://openalex.org/W4318619660","https://openalex.org/W6633508582","https://openalex.org/W6712762027","https://openalex.org/W6728757088","https://openalex.org/W6759238902","https://openalex.org/W6771652451","https://openalex.org/W6773817997","https://openalex.org/W6803350839","https://openalex.org/W6810299619"],"related_works":["https://openalex.org/W3041656022","https://openalex.org/W4280591108","https://openalex.org/W4387042211","https://openalex.org/W4221146017","https://openalex.org/W3175367179","https://openalex.org/W4289655333","https://openalex.org/W2981981504","https://openalex.org/W2187449906","https://openalex.org/W3011190762","https://openalex.org/W2962818859"],"abstract_inverted_index":{"Recently,":[0],"the":[1,12,26,36,59,69,76,82,130,133],"federated":[2],"learning":[3,9,50,60,92,107],"(FL)":[4],"has":[5],"been":[6],"a":[7,62,89],"machine":[8],"paradigm":[10],"for":[11,68],"preservation":[13],"of":[14,29,119,132],"data":[15],"privacy,":[16],"though":[17],"high":[18],"communication":[19],"cost":[20],"and":[21],"privacy":[22,115],"protection":[23],"are":[24,126],"still":[25],"main":[27],"concerns":[28],"FL.":[30],"However,":[31],"in":[32,47,81],"many":[33],"practical":[34],"applications,":[35],"trained":[37],"model":[38,70],"needs":[39],"certain":[40],"nature":[41],"or":[42],"characteristics,":[43],"such":[44,96],"as":[45],"sparseness":[46],"classification,":[48],"otherwise":[49],"performance":[51,108],"loss":[52,77],"is":[53],"inevitable.":[54],"In":[55],"order":[56],"to":[57,75,94,128],"upgrade":[58],"performance,":[61],"suitable":[63],"non-smooth":[64,97],"regularizer":[65],"(e.g.,":[66],"$\\ell_{1}$-norm":[67],"sparseness)":[71],"can":[72],"be":[73],"added":[74],"function":[78],"(often":[79],"non-convex)":[80],"considered":[83],"optimization":[84],"problem.":[85],"This":[86],"paper":[87],"proposes":[88],"novel":[90],"primal-dual":[91],"algorithm":[93],"handle":[95],"regularization":[98],"aided":[99],"non-convex":[100],"FL":[101,112],"problems,":[102],"that":[103],"yields":[104],"much":[105],"superior":[106],"over":[109],"some":[110,123],"state-of-the-art":[111],"algorithms":[113],"under":[114],"guarantee":[116],"by":[117],"means":[118],"differential":[120],"privacy.":[121],"Finally,":[122],"experimental":[124],"results":[125],"provided":[127],"demonstrate":[129],"efficacy":[131],"proposed":[134],"algorithm.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}