{"id":"https://openalex.org/W4372263166","doi":"https://doi.org/10.1109/icassp49357.2023.10097231","title":"M22: Rate-Distortion Inspired Gradient Compression","display_name":"M22: Rate-Distortion Inspired Gradient Compression","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372263166","doi":"https://doi.org/10.1109/icassp49357.2023.10097231"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10097231","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10097231","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5114677047","display_name":"Yangyi Liu","orcid":"https://orcid.org/0000-0002-7366-724X"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Yangyi Liu","raw_affiliation_strings":["McMaster University,Electrical and Computer Engineering Department","Electrical and Computer Engineering Department, McMaster University"],"affiliations":[{"raw_affiliation_string":"McMaster University,Electrical and Computer Engineering Department","institution_ids":["https://openalex.org/I98251732"]},{"raw_affiliation_string":"Electrical and Computer Engineering Department, McMaster University","institution_ids":["https://openalex.org/I98251732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010648032","display_name":"Sadaf Salehkalaibar","orcid":"https://orcid.org/0000-0003-1227-3797"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sadaf Salehkalaibar","raw_affiliation_strings":["McMaster University,Electrical and Computer Engineering Department","Electrical and Computer Engineering Department, McMaster University"],"affiliations":[{"raw_affiliation_string":"McMaster University,Electrical and Computer Engineering Department","institution_ids":["https://openalex.org/I98251732"]},{"raw_affiliation_string":"Electrical and Computer Engineering Department, McMaster University","institution_ids":["https://openalex.org/I98251732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067224441","display_name":"Stefano Rini","orcid":"https://orcid.org/0000-0003-1681-3316"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Stefano Rini","raw_affiliation_strings":["National Yang-Ming Chiao-Tung University (NYCU),Electrical and Computer Engineering Department","Electrical and Computer Engineering Department, National Yang-Ming Chiao-Tung University (NYCU)"],"affiliations":[{"raw_affiliation_string":"National Yang-Ming Chiao-Tung University (NYCU),Electrical and Computer Engineering Department","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Electrical and Computer Engineering Department, National Yang-Ming Chiao-Tung University (NYCU)","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100450217","display_name":"Jun Chen","orcid":"https://orcid.org/0000-0002-8084-9332"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jun Chen","raw_affiliation_strings":["McMaster University,Electrical and Computer Engineering Department","Electrical and Computer Engineering Department, McMaster University"],"affiliations":[{"raw_affiliation_string":"McMaster University,Electrical and Computer Engineering Department","institution_ids":["https://openalex.org/I98251732"]},{"raw_affiliation_string":"Electrical and Computer Engineering Department, McMaster University","institution_ids":["https://openalex.org/I98251732"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5114677047"],"corresponding_institution_ids":["https://openalex.org/I98251732"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04034293,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"115","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9997000098228455,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9997000098228455,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9994000196456909,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9905999898910522,"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":0.7029725313186646},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.6548169255256653},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.6049519777297974},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.5527822971343994},{"id":"https://openalex.org/keywords/rate-distortion","display_name":"Rate distortion","score":0.5488940477371216},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5413032174110413},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4935406446456909},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4265310764312744},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4070880115032196},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.37372514605522156},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3576098084449768},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23047617077827454},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.21074900031089783},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.17358392477035522},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14959806203842163},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12642735242843628}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7029725313186646},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6548169255256653},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.6049519777297974},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5527822971343994},{"id":"https://openalex.org/C2982755384","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate distortion","level":3,"score":0.5488940477371216},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5413032174110413},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4935406446456909},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4265310764312744},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4070880115032196},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.37372514605522156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3576098084449768},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23047617077827454},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.21074900031089783},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.17358392477035522},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14959806203842163},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12642735242843628},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10097231","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10097231","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":0.7699999809265137}],"awards":[],"funders":[{"id":"https://openalex.org/F4320331164","display_name":"National Science and Technology Council","ror":"https://ror.org/00wnb9798"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1994520254","https://openalex.org/W2134383396","https://openalex.org/W2407022425","https://openalex.org/W2531786980","https://openalex.org/W2535838896","https://openalex.org/W2617766261","https://openalex.org/W2766678531","https://openalex.org/W2804268522","https://openalex.org/W2805997383","https://openalex.org/W2889676205","https://openalex.org/W2947387569","https://openalex.org/W2963095610","https://openalex.org/W2963766684","https://openalex.org/W2984259868","https://openalex.org/W3081178085","https://openalex.org/W3121696187","https://openalex.org/W3133071991","https://openalex.org/W3212339248","https://openalex.org/W4288022516","https://openalex.org/W4288417148","https://openalex.org/W4294205985","https://openalex.org/W4297687186","https://openalex.org/W4318619660","https://openalex.org/W4320823079","https://openalex.org/W4388206377","https://openalex.org/W6728495017","https://openalex.org/W6728757088","https://openalex.org/W6738460352","https://openalex.org/W6745256532","https://openalex.org/W6751754709","https://openalex.org/W6752012617","https://openalex.org/W6754341472","https://openalex.org/W6754416507","https://openalex.org/W6754529011","https://openalex.org/W6761040187","https://openalex.org/W6768911402","https://openalex.org/W6770275949","https://openalex.org/W6773173304","https://openalex.org/W6788034315","https://openalex.org/W6790641558","https://openalex.org/W6803502270","https://openalex.org/W6842469858","https://openalex.org/W6849845996"],"related_works":["https://openalex.org/W2595172197","https://openalex.org/W2084856301","https://openalex.org/W2127970246","https://openalex.org/W2885125400","https://openalex.org/W1989889224","https://openalex.org/W4382618745","https://openalex.org/W1973775000","https://openalex.org/W2748922771","https://openalex.org/W1987128138","https://openalex.org/W2743976221"],"abstract_inverted_index":{"In":[0,40],"federated":[1],"learning":[2],"(FL),":[3],"the":[4,8,12,83,93,97,109,113,123,129,137],"communication":[5,89,106],"constraint":[6],"between":[7],"remote":[9],"users":[10],"and":[11,59,78,128,142],"Parameter":[13],"Server":[14],"(PS)":[15],"is":[16],"a":[17,24,45,88,103,153],"crucial":[18],"bottleneck.":[19],"This":[20],"paper":[21],"proposes":[22],"M22,":[23],"rate-distortion":[25,154],"inspired":[26,155],"approach":[27],"to":[28,51,108],"model":[29,111],"update":[30],"compression":[31,85],"for":[32],"distributed":[33],"training":[34,114],"of":[35,47,73,105,125,139],"deep":[36],"neural":[37],"networks":[38],"(DNNs).":[39],"particular,":[41],"(i)":[42],"we":[43,61,91,120],"propose":[44],"family":[46],"distortion":[48,130],"measures":[49],"referred":[50],"as":[52,96],"\"M-magnitude":[53],"weighted":[54],"L<inf":[55],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[56],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</inf>\"":[57],"norm,":[58],"(ii)":[60],"assume":[62],"that":[63,102,144],"gradient":[64,84,126],"updates":[65],"follow":[66],"an":[67],"i.i.d.":[68],"distribution":[69],"with":[70],"two":[71],"degrees":[72],"freedom":[74],"\u2013":[75],"generalized":[76],"normal":[77],"Weibull":[79],"distributions.":[80],"To":[81],"measure":[82],"performance":[86,118,146],"under":[87],"constraint,":[90],"define":[92],"per-bit":[94],"accuracy":[95,101],"optimal":[98],"improvement":[99],"in":[100],"bit":[104],"brings":[107],"centralized":[110],"over":[112],"period.":[115],"Using":[116],"this":[117],"measure,":[119],"systematically":[121],"benchmark":[122],"choice":[124],"distributions":[127],"measure.":[131],"We":[132],"provide":[133],"substantial":[134],"insights":[135],"on":[136],"role":[138],"these":[140],"choices":[141],"argue":[143],"significant":[145],"improvements":[147],"can":[148],"be":[149],"attained":[150],"using":[151],"such":[152],"compressor.":[156]},"counts_by_year":[],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}