乐胖代购免代理版

{"id":"https://openalex.org/W3189225850","doi":"https://doi.org/10.1109/icc42927.2021.9500346","title":"Gradient Coding with Dynamic Clustering for Straggler Mitigation","display_name":"Gradient Coding with Dynamic Clustering for Straggler Mitigation","publication_year":2021,"publication_date":"2021-06-01","ids":{"openalex":"https://openalex.org/W3189225850","doi":"https://doi.org/10.1109/icc42927.2021.9500346","mag":"3189225850"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc42927.2021.9500346","pdf_url":null,"source":{"id":"https://openalex.org/S4363607711","display_name":"ICC 2022 - IEEE International Conference on Communications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://arxiv.org/pdf/2011.01922","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056993728","display_name":"Baturalp Buyukates","orcid":"https://orcid.org/0000-0002-5941-0667"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Baturalp Buyukates","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Maryland, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Maryland, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009592121","display_name":"Emre \u00d6zfatura","orcid":"https://orcid.org/0000-0002-6974-5671"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Emre Ozfatura","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College London, UK"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021132487","display_name":"\u015eennur Uluku\u015f","orcid":"https://orcid.org/0000-0002-8219-8190"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sennur Ulukus","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Maryland, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Maryland, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016883501","display_name":"Deniz G\u00fcnd\u00fcz","orcid":"https://orcid.org/0000-0002-7725-395X"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Deniz Gunduz","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College London, UK"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College London, UK","institution_ids":["https://openalex.org/I47508984"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.838,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.884685,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":83,"max":84},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9951,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9951,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9934,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9864,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.42710057}],"concepts":[{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.8579627},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.7352575},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7202822},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.6803722},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.641289},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6259965},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.52263284},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.42710057},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.42607763},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2004588},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.1553247},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14735821},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12508866},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09098899},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc42927.2021.9500346","pdf_url":null,"source":{"id":"https://openalex.org/S4363607711","display_name":"ICC 2022 - IEEE International Conference on Communications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2011.01922","pdf_url":"http://arxiv.org/pdf/2011.01922","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2011.01922","pdf_url":"http://arxiv.org/pdf/2011.01922","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320334678","funder_display_name":"European Research Council","award_id":null}],"datasets":[],"versions":[],"referenced_works_count":26,"referenced_works":["https://openalex.org/W1557310162","https://openalex.org/W2268702383","https://openalex.org/W2336650964","https://openalex.org/W2741736887","https://openalex.org/W2787128677","https://openalex.org/W2803520071","https://openalex.org/W2804095446","https://openalex.org/W2896633576","https://openalex.org/W2962850796","https://openalex.org/W2962957061","https://openalex.org/W2963687457","https://openalex.org/W2963706835","https://openalex.org/W2964120628","https://openalex.org/W2964160151","https://openalex.org/W2964229375","https://openalex.org/W2964352239","https://openalex.org/W2975971390","https://openalex.org/W2976668007","https://openalex.org/W2977108067","https://openalex.org/W3015418122","https://openalex.org/W3023688165","https://openalex.org/W3100515187","https://openalex.org/W3103761313","https://openalex.org/W3125943371","https://openalex.org/W4210431029","https://openalex.org/W4249253882"],"related_works":["https://openalex.org/W98480971","https://openalex.org/W4242191701","https://openalex.org/W2891987081","https://openalex.org/W2164382479","https://openalex.org/W2157978810","https://openalex.org/W2150291671","https://openalex.org/W2146343568","https://openalex.org/W2058965144","https://openalex.org/W2027972911","https://openalex.org/W2013643406"],"abstract_inverted_index":{"In":[0,42],"distributed":[1,31],"synchronous":[2],"gradient":[3,49,63],"descent":[4],"(GD)":[5],"the":[6,11,16,26,73,83,87,99,110,115],"main":[7],"performance":[8],"bottleneck":[9],"for":[10],"per-iteration":[12],"completion":[13,101],"time":[14,102],"is":[15],"slowest":[17],"straggling":[18,67,76],"workers.":[19,41],"To":[20],"speed":[21,61],"up":[22,62],"GD":[23],"iterations":[24],"in":[25,78,86,98,109],"presence":[27],"of":[28,75],"stragglers,":[29],"coded":[30],"computation":[32],"techniques":[33],"are":[34],"implemented":[35],"by":[36,58],"assigning":[37],"redundant":[38],"computations":[39],"to":[40,60,114],"this":[43],"paper,":[44],"we":[45],"propose":[46],"a":[47],"novel":[48],"coding":[50],"(GC)":[51],"scheme":[52],"that":[53,93],"utilizes":[54],"dynamic":[55],"clustering,":[56],"denoted":[57],"GC-DC,":[59],"calculations.":[64],"Under":[65],"time-correlated":[66],"behavior,":[68],"GC-DC":[69,94],"aims":[70],"at":[71],"regulating":[72],"number":[74],"workers":[77],"each":[79,104],"cluster":[80],"based":[81],"on":[82],"straggler":[84],"behavior":[85],"previous":[88],"iteration.":[89],"We":[90],"numerically":[91],"show":[92],"provides":[95],"significant":[96],"improvements":[97],"average":[100],"(of":[103],"iteration)":[105],"with":[106],"no":[107],"increase":[108],"communication":[111],"load":[112],"compared":[113],"original":[116],"GC":[117],"scheme.":[118]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3189225850","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2024-12-17T13:35:08.055643","created_date":"2021-08-16"}