{"id":"https://openalex.org/W4408647608","doi":"https://doi.org/10.1109/tsp.2025.3553355","title":"Locally Differentially Private Online Federated Learning With Correlated Noise","display_name":"Locally Differentially Private Online Federated Learning With Correlated Noise","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408647608","doi":"https://doi.org/10.1109/tsp.2025.3553355"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2025.3553355","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tsp.2025.3553355","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/tsp.2025.3553355","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":["Division of Decision and Control Systems, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"Division of Decision and Control Systems, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden","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/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Linglingzhi Zhu","raw_affiliation_strings":["H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA","H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA"],"affiliations":[{"raw_affiliation_string":"H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067232508","display_name":"Dominik Fay","orcid":"https://orcid.org/0000-0002-5530-2714"},"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":"Dominik Fay","raw_affiliation_strings":["Division of Decision and Control Systems, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"Division of Decision and Control Systems, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"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":["Division of Decision and Control Systems, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"Division of Decision and Control Systems, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100747006"],"corresponding_institution_ids":["https://openalex.org/I86987016"],"apc_list":null,"apc_paid":null,"fwci":12.9767,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.98256037,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"73","issue":null,"first_page":"1518","last_page":"1531"},"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.996399998664856,"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":0.9955999851226807,"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":0.6259067058563232},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5518230199813843},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44339990615844727},{"id":"https://openalex.org/keywords/online-learning","display_name":"Online learning","score":0.41098135709762573},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.34686750173568726},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34658297896385193},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.2466830611228943}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6259067058563232},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5518230199813843},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44339990615844727},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.41098135709762573},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.34686750173568726},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34658297896385193},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.2466830611228943},{"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/tsp.2025.3553355","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tsp.2025.3553355","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/tsp.2025.3553355","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tsp.2025.3553355","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1446333884","https://openalex.org/W1992926795","https://openalex.org/W2009611335","https://openalex.org/W2109426455","https://openalex.org/W2265744594","https://openalex.org/W2286320853","https://openalex.org/W2963248893","https://openalex.org/W2963254198","https://openalex.org/W2963699739","https://openalex.org/W2963830980","https://openalex.org/W2995022099","https://openalex.org/W3007369111","https://openalex.org/W3081130510","https://openalex.org/W4210758839","https://openalex.org/W4293193359","https://openalex.org/W4308216417","https://openalex.org/W4316652380","https://openalex.org/W4383754164","https://openalex.org/W4386951516","https://openalex.org/W4387149978","https://openalex.org/W4388286320","https://openalex.org/W4391019723","https://openalex.org/W4391021951","https://openalex.org/W4392303055","https://openalex.org/W4392909094","https://openalex.org/W6640284262","https://openalex.org/W6682241212","https://openalex.org/W6725964698","https://openalex.org/W6728757088","https://openalex.org/W6750163886","https://openalex.org/W6759238902","https://openalex.org/W6759731660","https://openalex.org/W6759863444","https://openalex.org/W6791899593","https://openalex.org/W6804436330","https://openalex.org/W6805442430","https://openalex.org/W6838839727","https://openalex.org/W6849944846","https://openalex.org/W6854023096"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"We":[0],"introduce":[1],"a":[2,40,83],"locally":[3],"differentially":[4],"private":[5],"(LDP)":[6],"algorithm":[7],"for":[8,68],"online":[9],"federated":[10],"learning":[11,105],"that":[12,44,87],"employs":[13],"temporally":[14],"correlated":[15,29],"noise":[16,30,50],"to":[17,76],"improve":[18],"utility":[19],"while":[20],"preserving":[21],"privacy.":[22],"To":[23],"address":[24],"challenges":[25],"posed":[26],"by":[27],"the":[28,46,49,52,58,89,95,100,104,110,113],"and":[31,94],"local":[32,62],"updates":[33,63],"with":[34],"streaming":[35],"non-IID":[36],"data,":[37],"we":[38,55,81],"develop":[39],"perturbed":[41],"iterate":[42],"analysis":[43],"controls":[45],"impact":[47,90],"of":[48,71,91,97,112],"on":[51,103],"utility.":[53],"Moreover,":[54],"demonstrate":[56],"how":[57],"drift":[59],"errors":[60],"from":[61],"can":[64],"be":[65],"effectively":[66],"managed":[67],"several":[69],"classes":[70],"nonconvex":[72],"loss":[73],"functions.":[74],"Subject":[75],"an":[77],"(\u03b5,":[78],"\u03b4)-LDP":[79],"budget,":[80],"establish":[82],"dynamic":[84,101],"regret":[85],"bound":[86],"quantifies":[88],"key":[92],"parameters":[93],"intensity":[96],"changes":[98],"in":[99],"environment":[102],"performance.":[106],"Numerical":[107],"experiments":[108],"confirm":[109],"efficacy":[111],"proposed":[114],"algorithm.":[115]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-03-22T08:09:32.410652","created_date":"2025-10-10T00:00:00"}