{"id":"https://openalex.org/W3015635872","doi":"https://doi.org/10.1109/icassp40776.2020.9053999","title":"Anytime Minibatch with Delayed Gradients: System Performance and Convergence Analysis","display_name":"Anytime Minibatch with Delayed Gradients: System Performance and Convergence Analysis","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015635872","doi":"https://doi.org/10.1109/icassp40776.2020.9053999","mag":"3015635872"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053999","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053999","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 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/A5015118446","display_name":"Haider Al-Lawati","orcid":"https://orcid.org/0000-0002-3686-1289"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Haider Al-Lawati","raw_affiliation_strings":["University of Toronto, Canada"],"affiliations":[{"raw_affiliation_string":"University of Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029182703","display_name":"Stark C. Draper","orcid":"https://orcid.org/0000-0001-8100-5599"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Stark C. Draper","raw_affiliation_strings":["University of Toronto, Canada"],"affiliations":[{"raw_affiliation_string":"University of Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5015118446"],"corresponding_institution_ids":["https://openalex.org/I185261750"],"apc_list":null,"apc_paid":null,"fwci":0.1326,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5166379,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3992","last_page":"3996"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":1.0,"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":1.0,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9976999759674072,"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/convergence","display_name":"Convergence (economics)","score":0.7072499394416809},{"id":"https://openalex.org/keywords/regret","display_name":"Regret","score":0.705858051776886},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.6698935031890869},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.6389079093933105},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5775526165962219},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5677079558372498},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5595170855522156},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.5355465412139893},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5102355480194092},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4934900999069214},{"id":"https://openalex.org/keywords/complement","display_name":"Complement (music)","score":0.44550997018814087},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25750643014907837},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.12399020791053772},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.10775318741798401},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.07528382539749146}],"concepts":[{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.7072499394416809},{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.705858051776886},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.6698935031890869},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.6389079093933105},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5775526165962219},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5677079558372498},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5595170855522156},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.5355465412139893},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5102355480194092},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4934900999069214},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.44550997018814087},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25750643014907837},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.12399020791053772},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10775318741798401},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.07528382539749146},{"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"id":"https://openalex.org/C188082640","wikidata":"https://www.wikidata.org/wiki/Q1780899","display_name":"Complementation","level":4,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C127716648","wikidata":"https://www.wikidata.org/wiki/Q104053","display_name":"Phenotype","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053999","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053999","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.49000000953674316,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W778657980","https://openalex.org/W1686810756","https://openalex.org/W2096199223","https://openalex.org/W2102486516","https://openalex.org/W2130062883","https://openalex.org/W2133233009","https://openalex.org/W2148087609","https://openalex.org/W2163605009","https://openalex.org/W2166706236","https://openalex.org/W2168231600","https://openalex.org/W2169713291","https://openalex.org/W2336650964","https://openalex.org/W2782985982","https://openalex.org/W2807915830","https://openalex.org/W2894591993","https://openalex.org/W2906936451","https://openalex.org/W2962835968","https://openalex.org/W2963361660","https://openalex.org/W2963903325","https://openalex.org/W2964066689","https://openalex.org/W3101665129","https://openalex.org/W4287759323","https://openalex.org/W6622473587","https://openalex.org/W6637373629","https://openalex.org/W6674593956","https://openalex.org/W6675672627","https://openalex.org/W6679314259","https://openalex.org/W6679660245","https://openalex.org/W6684191040","https://openalex.org/W6684249991","https://openalex.org/W6684859321","https://openalex.org/W6703420464","https://openalex.org/W6749257597","https://openalex.org/W6751889643","https://openalex.org/W6757392376"],"related_works":["https://openalex.org/W4386603768","https://openalex.org/W2950475743","https://openalex.org/W2886711096","https://openalex.org/W2750384547","https://openalex.org/W2971351794","https://openalex.org/W4376155396","https://openalex.org/W4380078352","https://openalex.org/W3046591097","https://openalex.org/W1947085858","https://openalex.org/W3177158450"],"abstract_inverted_index":{"We":[0,33,45],"present":[1,46],"convergence":[2,43,63],"analysis":[3],"of":[4,19,38,88],"Anytime":[5],"Minibatch":[6],"with":[7,86],"Delayed":[8],"Gradients":[9],"(AMB-DG)":[10],"algorithm.":[11],"In":[12,111],"AMB-DG,":[13],"workers":[14,106],"compute":[15],"gradients":[16,27],"in":[17,36],"epochs":[18],"fixed":[20],"duration":[21],"while":[22,107],"the":[23,30,58,89],"master":[24],"uses":[25],"stale":[26,109],"to":[28],"update":[29],"optimization":[31],"parameters.":[32],"analyze":[34],"AMB-DG":[35,56,72,116],"terms":[37],"its":[39,84],"regret":[40,60],"bound":[41,61],"and":[42,62,82],"rate.":[44,64],"results":[47],"for":[48,98,114],"convex":[49],"smooth":[50],"objective":[51],"functions":[52],"which":[53],"show":[54],"that":[55,87,100],"achieves":[57],"optimal":[59],"To":[65],"complement":[66],"our":[67,112],"theoretical":[68],"contribution,":[69],"we":[70],"deploy":[71],"on":[73],"SciNet,":[74],"an":[75],"academic":[76],"high":[77],"performance":[78,85],"cloud":[79],"computing":[80],"platform,":[81],"compare":[83],"K-batch":[90,93,122],"async":[91,94],"scheme.":[92],"provides":[95],"a":[96],"baseline":[97],"schemes":[99],"exploit":[101],"works":[102],"completed":[103],"by":[104],"all":[105],"using":[108],"gradients.":[110],"experiments,":[113],"MNIST":[115],"converges":[117],"2.45":[118],"times":[119],"faster":[120],"than":[121],"async.":[123]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
