{"id":"https://openalex.org/W4389923777","doi":"https://doi.org/10.1109/tit.2023.3344141","title":"Order Optimal Bounds for One-Shot Federated Learning Over Non-Convex Loss Functions","display_name":"Order Optimal Bounds for One-Shot Federated Learning Over Non-Convex Loss Functions","publication_year":2023,"publication_date":"2023-12-18","ids":{"openalex":"https://openalex.org/W4389923777","doi":"https://doi.org/10.1109/tit.2023.3344141"},"language":"en","primary_location":{"id":"doi:10.1109/tit.2023.3344141","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tit.2023.3344141","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Theory","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/A5076011813","display_name":"Arsalan Sharifnassab","orcid":"https://orcid.org/0000-0002-3910-2878"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Arsalan Sharifnassab","raw_affiliation_strings":["Computing Science Department, Reinforcement Learning and Artificial Intelligence (RLAI) lab, University of Alberta, Edmonton, AB, Canada"],"raw_orcid":"https://orcid.org/0000-0002-3910-2878","affiliations":[{"raw_affiliation_string":"Computing Science Department, Reinforcement Learning and Artificial Intelligence (RLAI) lab, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072294850","display_name":"Saber Salehkaleybar","orcid":"https://orcid.org/0000-0003-3934-9931"},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Saber Salehkaleybar","raw_affiliation_strings":["Leiden Institute of Advanced Computer Science (LIACS), Leiden University, Leiden, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0003-3934-9931","affiliations":[{"raw_affiliation_string":"Leiden Institute of Advanced Computer Science (LIACS), Leiden University, Leiden, The Netherlands","institution_ids":["https://openalex.org/I121797337"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004045939","display_name":"S. Jamaloddin Golestani","orcid":"https://orcid.org/0000-0001-9797-0748"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"S. Jamaloddin Golestani","raw_affiliation_strings":["Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1309,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58811943,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"70","issue":"4","first_page":"2807","last_page":"2830"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9714000225067139,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9495999813079834,"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/regular-polygon","display_name":"Regular polygon","score":0.6144235730171204},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5754799246788025},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.5555979609489441},{"id":"https://openalex.org/keywords/convex-function","display_name":"Convex function","score":0.4967852234840393},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.4250304102897644},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.40569865703582764},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3287926912307739},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.07399842143058777}],"concepts":[{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.6144235730171204},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5754799246788025},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.5555979609489441},{"id":"https://openalex.org/C145446738","wikidata":"https://www.wikidata.org/wiki/Q319913","display_name":"Convex function","level":3,"score":0.4967852234840393},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.4250304102897644},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.40569865703582764},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3287926912307739},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.07399842143058777},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tit.2023.3344141","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tit.2023.3344141","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Theory","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W1528469369","https://openalex.org/W1992926795","https://openalex.org/W2099111195","https://openalex.org/W2473418344","https://openalex.org/W2535838896","https://openalex.org/W2744599870","https://openalex.org/W2785361959","https://openalex.org/W2797043077","https://openalex.org/W2797333853","https://openalex.org/W2886404071","https://openalex.org/W2908477164","https://openalex.org/W2949140995","https://openalex.org/W2962696932","https://openalex.org/W2963106566","https://openalex.org/W2963318081","https://openalex.org/W2964231067","https://openalex.org/W2974175488","https://openalex.org/W2989289980","https://openalex.org/W3047304572","https://openalex.org/W3086152015","https://openalex.org/W3102816259","https://openalex.org/W3104631511","https://openalex.org/W3111919937","https://openalex.org/W3176786489","https://openalex.org/W3182158470","https://openalex.org/W3198262235","https://openalex.org/W3203735593","https://openalex.org/W3205564238","https://openalex.org/W3207236107","https://openalex.org/W4224227775","https://openalex.org/W4231916799","https://openalex.org/W4236362309","https://openalex.org/W4287214056","https://openalex.org/W4287332481","https://openalex.org/W4289107582","https://openalex.org/W4297687186","https://openalex.org/W4298221930","https://openalex.org/W4312699393","https://openalex.org/W4316339066","https://openalex.org/W6622473587","https://openalex.org/W6679393576","https://openalex.org/W6684249991","https://openalex.org/W6728757088","https://openalex.org/W6746720608","https://openalex.org/W6747732332","https://openalex.org/W6753736665","https://openalex.org/W6754776447","https://openalex.org/W6757093123","https://openalex.org/W6758469878","https://openalex.org/W6759238902","https://openalex.org/W6762930437","https://openalex.org/W6767769571","https://openalex.org/W6769590323","https://openalex.org/W6781318954","https://openalex.org/W6782937392","https://openalex.org/W6795487366","https://openalex.org/W6796096428","https://openalex.org/W6796484261","https://openalex.org/W6802464851","https://openalex.org/W6803778537","https://openalex.org/W6849362482"],"related_works":["https://openalex.org/W3214346900","https://openalex.org/W2356099978","https://openalex.org/W3202709773","https://openalex.org/W1977848887","https://openalex.org/W2091897099","https://openalex.org/W3153752017","https://openalex.org/W4387635768","https://openalex.org/W2510140549","https://openalex.org/W2187449906","https://openalex.org/W2962818859"],"abstract_inverted_index":{"We":[0,83,106],"consider":[1],"the":[2,30,48,80,86,134],"problem":[3],"of":[4,47,60,72,79,89],"federated":[5],"learning":[6,120],"in":[7,11],"a":[8,58,66,103,118],"one-shot":[9],"setting":[10],"which":[12],"there":[13],"are$m$machines,":[14],"each":[15,55],"observing$n$sample":[16],"functions":[17],"from":[18],"an":[19,45,77],"unknown":[20,38],"distribution":[21],"on":[22,52],"non-convex":[23],"loss":[24,32,88,127,132],"functions.":[25],"Let$F:[-1,1]^{d}\\to":[26],"{\\mathbb":[27],"{R}}":[28],"$be":[29],"expected":[31,87,131],"function":[33,128],"with":[34],"respect":[35],"to":[36,43,65,102,139],"this":[37,110],"distribution.":[39],"The":[40,68],"goal":[41],"is":[42,92,113],"find":[44],"estimate":[46,78],"minimizer":[49,81],"of$F$.":[50,82],"Based":[51],"its":[53],"observations,":[54],"machine":[56],"generates":[57],"signal":[59],"bounded":[61,94],"length$B$and":[62],"sends":[63],"it":[64],"server.":[67],"server":[69],"collects":[70],"signals":[71],"all":[73],"machines":[74],"and":[75],"outputs":[76],"show":[84],"that":[85,109],"any":[90],"algorithm":[91],"lower":[93,111,135],"by$\\max":[95],"\\big":[96],"(1/(\\sqrt":[97],"{n}(mB)^{1/d}),":[98],"1/\\sqrt":[99],"{mn}\\big)$,":[100],"up":[101],"logarithmic":[104],"factor.":[105],"then":[107],"prove":[108],"bound":[112,136],"order":[114],"optimal":[115],"in$m$and$n$by":[116],"presenting":[117],"distributed":[119],"algorithm,":[121],"called":[122],"Multi-Resolution":[123],"Estimator":[124],"for":[125,137],"Non-Convex":[126],"(MRE-NC),":[129],"whose":[130],"matches":[133],"large$mn$up":[138],"polylogarithmic":[140],"factors.":[141]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}