{"id":"https://openalex.org/W3080754758","doi":"https://doi.org/10.1109/isit44484.2020.9174391","title":"Communication Efficient and Byzantine Tolerant Distributed Learning","display_name":"Communication Efficient and Byzantine Tolerant Distributed Learning","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3080754758","doi":"https://doi.org/10.1109/isit44484.2020.9174391","mag":"3080754758"},"language":"en","primary_location":{"id":"doi:10.1109/isit44484.2020.9174391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit44484.2020.9174391","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Symposium on Information Theory (ISIT)","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/A5101622808","display_name":"Avishek Ghosh","orcid":"https://orcid.org/0000-0002-6548-6692"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Avishek Ghosh","raw_affiliation_strings":["UC Berkeley,Department of Electrical Engineering and Computer Sciences"],"affiliations":[{"raw_affiliation_string":"UC Berkeley,Department of Electrical Engineering and Computer Sciences","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083450236","display_name":"Raj Kumar Maity","orcid":"https://orcid.org/0000-0002-4759-696X"},"institutions":[{"id":"https://openalex.org/I177605424","display_name":"Amherst College","ror":"https://ror.org/028vqfs63","country_code":"US","type":"education","lineage":["https://openalex.org/I177605424"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raj Kumar Maity","raw_affiliation_strings":["UMASS Amherst,College of Information and Computer Sciences","College of Information and Computer Sciences, UMASS Amherst"],"affiliations":[{"raw_affiliation_string":"UMASS Amherst,College of Information and Computer Sciences","institution_ids":["https://openalex.org/I177605424"]},{"raw_affiliation_string":"College of Information and Computer Sciences, UMASS Amherst","institution_ids":["https://openalex.org/I177605424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053049612","display_name":"Swanand Kadhe","orcid":"https://orcid.org/0000-0003-2006-1030"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Swanand Kadhe","raw_affiliation_strings":["UC Berkeley,Department of Electrical Engineering and Computer Sciences"],"affiliations":[{"raw_affiliation_string":"UC Berkeley,Department of Electrical Engineering and Computer Sciences","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051046818","display_name":"Arya Mazumdar","orcid":"https://orcid.org/0000-0003-4605-7996"},"institutions":[{"id":"https://openalex.org/I177605424","display_name":"Amherst College","ror":"https://ror.org/028vqfs63","country_code":"US","type":"education","lineage":["https://openalex.org/I177605424"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arya Mazumdar","raw_affiliation_strings":["UMASS Amherst,College of Information and Computer Sciences","College of Information and Computer Sciences, UMASS Amherst"],"affiliations":[{"raw_affiliation_string":"UMASS Amherst,College of Information and Computer Sciences","institution_ids":["https://openalex.org/I177605424"]},{"raw_affiliation_string":"College of Information and Computer Sciences, UMASS Amherst","institution_ids":["https://openalex.org/I177605424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007922392","display_name":"Ramachandran Kannan","orcid":"https://orcid.org/0000-0002-1877-8123"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kannan Ramachandran","raw_affiliation_strings":["UC Berkeley,Department of Electrical Engineering and Computer Sciences"],"affiliations":[{"raw_affiliation_string":"UC Berkeley,Department of Electrical Engineering and Computer Sciences","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101622808"],"corresponding_institution_ids":["https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":0.9605,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.81160013,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2545","last_page":"2550"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","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/T11612","display_name":"Stochastic Gradient Optimization Techniques","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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9995999932289124,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.6680995225906372},{"id":"https://openalex.org/keywords/truncated-mean","display_name":"Truncated mean","score":0.6661427021026611},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6506454944610596},{"id":"https://openalex.org/keywords/convex-function","display_name":"Convex function","score":0.5884958505630493},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5585334300994873},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.5181099772453308},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5022151470184326},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.48315733671188354},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.4792759120464325},{"id":"https://openalex.org/keywords/byzantine-fault-tolerance","display_name":"Byzantine fault tolerance","score":0.47557416558265686},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4602583348751068},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.35490018129348755},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2769591510295868},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27677834033966064},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.130628764629364},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.11193475127220154},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10680148005485535},{"id":"https://openalex.org/keywords/fault-tolerance","display_name":"Fault tolerance","score":0.0969049334526062}],"concepts":[{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.6680995225906372},{"id":"https://openalex.org/C116714509","wikidata":"https://www.wikidata.org/wiki/Q32278","display_name":"Truncated mean","level":3,"score":0.6661427021026611},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6506454944610596},{"id":"https://openalex.org/C145446738","wikidata":"https://www.wikidata.org/wiki/Q319913","display_name":"Convex function","level":3,"score":0.5884958505630493},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5585334300994873},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.5181099772453308},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5022151470184326},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.48315733671188354},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.4792759120464325},{"id":"https://openalex.org/C168021876","wikidata":"https://www.wikidata.org/wiki/Q1353446","display_name":"Byzantine fault tolerance","level":3,"score":0.47557416558265686},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4602583348751068},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.35490018129348755},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2769591510295868},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27677834033966064},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.130628764629364},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.11193475127220154},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10680148005485535},{"id":"https://openalex.org/C63540848","wikidata":"https://www.wikidata.org/wiki/Q3140932","display_name":"Fault tolerance","level":2,"score":0.0969049334526062},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"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/isit44484.2020.9174391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit44484.2020.9174391","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W1855339086","https://openalex.org/W2112796928","https://openalex.org/W2131172946","https://openalex.org/W2134539478","https://openalex.org/W2162576315","https://openalex.org/W2405578611","https://openalex.org/W2407022425","https://openalex.org/W2490498838","https://openalex.org/W2535838896","https://openalex.org/W2547352193","https://openalex.org/W2614254310","https://openalex.org/W2617766261","https://openalex.org/W2742439621","https://openalex.org/W2750919002","https://openalex.org/W2769644379","https://openalex.org/W2788816110","https://openalex.org/W2789911054","https://openalex.org/W2805997383","https://openalex.org/W2890924858","https://openalex.org/W2897474720","https://openalex.org/W2911863041","https://openalex.org/W2935990182","https://openalex.org/W2944844562","https://openalex.org/W2949505878","https://openalex.org/W2950346378","https://openalex.org/W2950826569","https://openalex.org/W2963165390","https://openalex.org/W2963495269","https://openalex.org/W2963664311","https://openalex.org/W2963766684","https://openalex.org/W2964004663","https://openalex.org/W2964267428","https://openalex.org/W2965497096","https://openalex.org/W2970421227","https://openalex.org/W2989787172","https://openalex.org/W3137092842","https://openalex.org/W4252654521","https://openalex.org/W4288022516","https://openalex.org/W4288417148","https://openalex.org/W4297685247","https://openalex.org/W4297687186","https://openalex.org/W4301295444","https://openalex.org/W6638973248","https://openalex.org/W6679168169","https://openalex.org/W6684583874","https://openalex.org/W6713835734","https://openalex.org/W6714239094","https://openalex.org/W6728975057","https://openalex.org/W6734565475","https://openalex.org/W6738460352","https://openalex.org/W6743628060","https://openalex.org/W6746200960","https://openalex.org/W6748019269","https://openalex.org/W6748786018","https://openalex.org/W6748805329","https://openalex.org/W6752012617","https://openalex.org/W6752429284","https://openalex.org/W6754341472","https://openalex.org/W6754416507","https://openalex.org/W6755593096","https://openalex.org/W6758358981","https://openalex.org/W6761040187","https://openalex.org/W6762375199","https://openalex.org/W6763780468","https://openalex.org/W6770275949"],"related_works":["https://openalex.org/W2082482750","https://openalex.org/W2544122622","https://openalex.org/W1980008589","https://openalex.org/W2128927076","https://openalex.org/W4296608771","https://openalex.org/W3041980573","https://openalex.org/W4288020166","https://openalex.org/W2989764977","https://openalex.org/W3080754758","https://openalex.org/W3097490775"],"abstract_inverted_index":{"We":[0,14,35,99,116,135],"develop":[1],"a":[2,18,24,67],"communication-efficient":[3],"distributed":[4,19],"learning":[5],"algorithm":[6,21,42,86,107],"that":[7,22,44,78],"is":[8,128],"robust":[9],"against":[10],"Byzantine":[11,33,96],"worker":[12],"machines.":[13],"propose":[15],"and":[16,82,90,95,141,151],"analyze":[17],"gradient-descent":[20],"performs":[23],"simple":[25],"thresholding":[26],"based":[27],"on":[28],"gradient":[29,91],"norms":[30,92],"to":[31],"mitigate":[32],"failures.":[34],"show":[36,117],"the":[37,101,106,124,132],"(statistical)":[38],"error-rate":[39],"of":[40,45,70,105,122,126],"our":[41,139],"matches":[43],"Yin":[46],"et":[47,75],"al.,":[48,76],"2018,":[49],"which":[50],"uses":[51,87],"more":[52],"complicated":[53],"schemes":[54],"(like":[55],"coordinate-wise":[56],"median":[57],"or":[58,111],"trimmed":[59],"mean).":[60],"Furthermore,":[61],"for":[62,93,108,147],"communication":[63],"efficiency,":[64],"we":[65],"consider":[66],"generic":[68],"class":[69],"\u03b4-approximate":[71],"compressors":[72,81],"from":[73],"Karimireddy":[74],"2019,":[77],"encompasses":[79],"sign-based":[80],"top-k":[83],"sparsification.":[84],"Our":[85],"compressed":[88],"gradients":[89],"aggregation":[94],"removal":[97],"respectively.":[98],"establish":[100],"statistical":[102],"error":[103],"rate":[104,125],"arbitrary":[109],"(convex":[110],"non-convex)":[112],"smooth":[113],"loss":[114],"function.":[115],"that,":[118],"in":[119,145],"certain":[120],"regime":[121],"\u03b4,":[123],"convergence":[127,146],"not":[129],"affected":[130],"by":[131],"compression":[133],"operation.":[134],"have":[136],"experimentally":[137],"validated":[138],"results":[140],"shown":[142],"good":[143],"performance":[144],"convex":[148],"(least-square":[149],"regression)":[150],"non-convex":[152],"(neural":[153],"network":[154],"training)":[155],"problems.":[156]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3}],"updated_date":"2026-03-14T06:41:57.775601","created_date":"2025-10-10T00:00:00"}
