{"id":"https://openalex.org/W4407988007","doi":"https://doi.org/10.1109/cdc56724.2024.10886177","title":"Differentially Private Online Federated Learning with Correlated Noise","display_name":"Differentially Private Online Federated Learning with Correlated Noise","publication_year":2024,"publication_date":"2024-12-16","ids":{"openalex":"https://openalex.org/W4407988007","doi":"https://doi.org/10.1109/cdc56724.2024.10886177"},"language":"en","primary_location":{"id":"doi:10.1109/cdc56724.2024.10886177","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc56724.2024.10886177","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 63rd Conference on Decision and Control (CDC)","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/A5100747006","display_name":"Jiaojiao Zhang","orcid":"https://orcid.org/0000-0002-6084-5502"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Jiaojiao Zhang","raw_affiliation_strings":["KTH Royal Institute of Technology,Division of Decision and Control Systems, School of Electrical Engineering and Computer Science,Stockholm,Sweden,SE-100 44"],"affiliations":[{"raw_affiliation_string":"KTH Royal Institute of Technology,Division of Decision and Control Systems, School of Electrical Engineering and Computer Science,Stockholm,Sweden,SE-100 44","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062297286","display_name":"Linglingzhi Zhu","orcid":"https://orcid.org/0000-0002-5484-1134"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linglingzhi Zhu","raw_affiliation_strings":["Chinese University of Hong Kong,Department of Systems Engineering and Engineering Management"],"affiliations":[{"raw_affiliation_string":"Chinese University of Hong Kong,Department of Systems Engineering and Engineering Management","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024256519","display_name":"Mikael Johansson","orcid":"https://orcid.org/0000-0002-2237-2580"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Mikael Johansson","raw_affiliation_strings":["KTH Royal Institute of Technology,Division of Decision and Control Systems, School of Electrical Engineering and Computer Science,Stockholm,Sweden,SE-100 44"],"affiliations":[{"raw_affiliation_string":"KTH Royal Institute of Technology,Division of Decision and Control Systems, School of Electrical Engineering and Computer Science,Stockholm,Sweden,SE-100 44","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100747006"],"corresponding_institution_ids":["https://openalex.org/I86987016"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25589437,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3140","last_page":"3146"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9979000091552734,"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":0.9914000034332275,"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/computer-science","display_name":"Computer science","score":0.7084861993789673},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6029368042945862},{"id":"https://openalex.org/keywords/online-learning","display_name":"Online learning","score":0.5298594832420349},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2858337163925171},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.24637269973754883}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7084861993789673},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6029368042945862},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.5298594832420349},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2858337163925171},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.24637269973754883},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc56724.2024.10886177","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc56724.2024.10886177","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 63rd Conference on Decision and Control (CDC)","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":37,"referenced_works":["https://openalex.org/W1446333884","https://openalex.org/W1992926795","https://openalex.org/W2009611335","https://openalex.org/W2109426455","https://openalex.org/W2150230313","https://openalex.org/W2911978475","https://openalex.org/W2952983945","https://openalex.org/W2963699739","https://openalex.org/W2963830980","https://openalex.org/W2995022099","https://openalex.org/W3035382016","https://openalex.org/W3081130510","https://openalex.org/W3086328377","https://openalex.org/W3170552557","https://openalex.org/W4210758839","https://openalex.org/W4308216417","https://openalex.org/W4315488904","https://openalex.org/W4383754164","https://openalex.org/W4386075205","https://openalex.org/W4387149978","https://openalex.org/W4391021951","https://openalex.org/W6639056083","https://openalex.org/W6640284262","https://openalex.org/W6725964698","https://openalex.org/W6734520927","https://openalex.org/W6746720608","https://openalex.org/W6747855403","https://openalex.org/W6759238902","https://openalex.org/W6759863444","https://openalex.org/W6765541894","https://openalex.org/W6791899593","https://openalex.org/W6804436330","https://openalex.org/W6805442430","https://openalex.org/W6838839727","https://openalex.org/W6849944846","https://openalex.org/W6858073051","https://openalex.org/W6863287248"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"We":[0],"introduce":[1],"a":[2,42,72,85],"novel":[3],"differentially":[4],"private":[5],"algorithm":[6],"for":[7],"online":[8],"federated":[9],"learning":[10],"that":[11],"employs":[12],"temporally":[13],"correlated":[14],"noise":[15,32,53],"to":[16,46,77],"enhance":[17],"utility":[18],"while":[19],"ensuring":[20],"privacy":[21],"of":[22,50,97,103,113],"continuously":[23],"released":[24],"models.":[25],"To":[26],"address":[27],"challenges":[28],"posed":[29],"by":[30],"DP":[31,52,81],"and":[33,100],"local":[34,65],"updates":[35,66],"with":[36],"streaming":[37],"non-iid":[38],"data,":[39],"we":[40,58,83],"develop":[41],"perturbed":[43],"iterate":[44],"analysis":[45],"control":[47],"the":[48,51,55,61,90,95,101,111,114],"impact":[49,96],"on":[54],"utility.":[56],"Moreover,":[57],"demonstrate":[59],"how":[60],"drift":[62],"errors":[63],"from":[64],"can":[67],"be":[68],"effectively":[69],"managed":[70],"under":[71],"quasi-strong":[73],"convexity":[74],"condition.":[75],"Subject":[76],"an":[78],"$(\\epsilon,":[79],"\\delta)$":[80],"budget,":[82],"establish":[84],"dynamic":[86,106],"regret":[87],"bound":[88],"over":[89],"entire":[91],"time":[92],"horizon,":[93],"quantifying":[94],"key":[98],"parameters":[99],"intensity":[102],"changes":[104],"in":[105],"environments.":[107],"Numerical":[108],"experiments":[109],"confirm":[110],"efficacy":[112],"proposed":[115],"algorithm.":[116]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}