{"id":"https://openalex.org/W4294658803","doi":"https://doi.org/10.18293/seke2022-071","title":"Self-Adaptive Task Allocation for Decentralized Deep Learning in Heterogeneous Environments","display_name":"Self-Adaptive Task Allocation for Decentralized Deep Learning in Heterogeneous Environments","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4294658803","doi":"https://doi.org/10.18293/seke2022-071"},"language":"en","primary_location":{"id":"doi:10.18293/seke2022-071","is_oa":true,"landing_page_url":"http://doi.org/10.18293/seke2022-071","pdf_url":"https://doi.org/10.18293/seke2022-071","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.18293/seke2022-071","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000104685","display_name":"Yongyue Chao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yongyue Chao","raw_affiliation_strings":["Guangyao Li Institute of Automation, Chinese Academy of Sciences Beijing, China","Institute of Automation, Chinese Academy of Sciences Beijing, China","Mingxue Liao Institute of Automation, Chinese Academy of Sciences Beijing, China"],"affiliations":[{"raw_affiliation_string":"Guangyao Li Institute of Automation, Chinese Academy of Sciences Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Mingxue Liao Institute of Automation, Chinese Academy of Sciences Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016458854","display_name":"Mingxue Liao","orcid":"https://orcid.org/0000-0001-6928-6885"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mingxue Liao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101865271","display_name":"Jiaxin Gao","orcid":"https://orcid.org/0000-0002-0023-1269"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxin Gao","raw_affiliation_strings":["Guangyao Li Institute of Automation, Chinese Academy of Sciences Beijing, China","Institute of Automation, Chinese Academy of Sciences Beijing, China","Mingxue Liao Institute of Automation, Chinese Academy of Sciences Beijing, China"],"affiliations":[{"raw_affiliation_string":"Guangyao Li Institute of Automation, Chinese Academy of Sciences Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Mingxue Liao Institute of Automation, Chinese Academy of Sciences Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100338854","display_name":"Guangyao Li","orcid":"https://orcid.org/0000-0002-2233-8470"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guangyao Li","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5000104685"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08032203,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2022","issue":null,"first_page":"154","last_page":"159"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9983999729156494,"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":0.9968000054359436,"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":0.7624544501304626},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7334203124046326},{"id":"https://openalex.org/keywords/distributed-computing-environment","display_name":"Distributed Computing Environment","score":0.6219885349273682},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5352843999862671},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.495669960975647},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4744464159011841},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.46408626437187195},{"id":"https://openalex.org/keywords/heterogeneous-network","display_name":"Heterogeneous network","score":0.4117838442325592},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3892000615596771},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3656703531742096},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.16000297665596008},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09702038764953613}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7624544501304626},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7334203124046326},{"id":"https://openalex.org/C3739613","wikidata":"https://www.wikidata.org/wiki/Q679003","display_name":"Distributed Computing Environment","level":2,"score":0.6219885349273682},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5352843999862671},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.495669960975647},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4744464159011841},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.46408626437187195},{"id":"https://openalex.org/C158207573","wikidata":"https://www.wikidata.org/wiki/Q5747224","display_name":"Heterogeneous network","level":4,"score":0.4117838442325592},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3892000615596771},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3656703531742096},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.16000297665596008},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09702038764953613},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18293/seke2022-071","is_oa":true,"landing_page_url":"http://doi.org/10.18293/seke2022-071","pdf_url":"https://doi.org/10.18293/seke2022-071","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18293/seke2022-071","is_oa":true,"landing_page_url":"http://doi.org/10.18293/seke2022-071","pdf_url":"https://doi.org/10.18293/seke2022-071","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.5099999904632568,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4294658803.pdf","grobid_xml":"https://content.openalex.org/works/W4294658803.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2274287116","https://openalex.org/W2336650964","https://openalex.org/W2523435939","https://openalex.org/W2612026221","https://openalex.org/W2622263826","https://openalex.org/W2765170276","https://openalex.org/W2788193959","https://openalex.org/W2936343019","https://openalex.org/W2962863496","https://openalex.org/W2962950660","https://openalex.org/W2964350391","https://openalex.org/W3011751313","https://openalex.org/W3116140450","https://openalex.org/W4313405195","https://openalex.org/W6703420464"],"related_works":["https://openalex.org/W230091440","https://openalex.org/W2233261550","https://openalex.org/W2810751659","https://openalex.org/W258997015","https://openalex.org/W2997094352","https://openalex.org/W1927327903","https://openalex.org/W1544665982","https://openalex.org/W3216976533","https://openalex.org/W4394050964","https://openalex.org/W2551249631"],"abstract_inverted_index":{"The":[0,122],"demand":[1],"for":[2,45],"large-scale":[3],"deep":[4],"learning":[5],"is":[6,11,156],"increasing,":[7],"and":[8],"distributed":[9,22,133],"training":[10,36,69,134,152],"the":[12,32,47,66,74,79,86,97,118,150],"current":[13],"mainstream":[14],"solution.":[15],"Decentralized":[16],"algorithms":[17],"are":[18],"widely":[19],"used":[20],"in":[21,25,39,78,90],"training.":[23],"However,":[24],"a":[26,40,54,112],"heterogeneous":[27,80,91,98],"environment,":[28],"each":[29,63],"worker":[30,64],"computes":[31],"same":[33],"amount":[34,67],"of":[35,42,68,76,88,101,107,114,120,128,138,146,154],"data":[37,70],"resulting":[38],"lot":[41],"wasted":[43],"time":[44,153],"waiting":[46],"straggler.":[48],"In":[49,82],"this":[50],"paper,":[51],"we":[52,94,110],"proposed":[53],"selfadaptive":[55],"task":[56],"allocation":[57],"algorithm":[58],"(SATA)":[59],"which":[60],"allows":[61],"that":[62,137,145],"acquires":[65],"adaptively":[71],"based":[72],"on":[73],"performance":[75,119],"workers":[77],"environment.":[81],"order":[83],"to":[84,116,160,164],"show":[85,117],"applicability":[87],"SATA":[89,130,155],"clusters":[92],"better,":[93],"set":[95],"up":[96],"cluster":[99],"composed":[100],"two":[102],"or":[103],"three":[104],"different":[105],"types":[106],"GPUs.":[108],"Besides,":[109],"conduct":[111],"series":[113],"experiments":[115],"SATA.":[121,129],"experimental":[123],"results":[124],"illustrate":[125],"several":[126],"advantages":[127],"can":[131],"accelerate":[132],"about":[135,143],"3.3X":[136],"All-Reduce":[139],"as":[140,142],"well":[141],"1.9X-3.8X":[144],"AD-PSGD":[147],"algorithm.":[148],"And":[149],"total":[151],"reduced":[157],"from":[158],"20":[159],"40":[161],"percentage":[162],"compared":[163],"All-Reduce.":[165]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
