{"id":"https://openalex.org/W3048671009","doi":"https://doi.org/10.1109/infocomwkshps50562.2020.9162748","title":"Poster Abstract: Model Average-based Distributed Training for Sparse Deep Neural Networks","display_name":"Poster Abstract: Model Average-based Distributed Training for Sparse Deep Neural Networks","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3048671009","doi":"https://doi.org/10.1109/infocomwkshps50562.2020.9162748","mag":"3048671009"},"language":"en","primary_location":{"id":"doi:10.1109/infocomwkshps50562.2020.9162748","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocomwkshps50562.2020.9162748","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","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/A5011209187","display_name":"Yuetong Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuetong Yang","raw_affiliation_strings":["National Key Laboratory of Parallel and Distributed Processing, School of Computer, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Parallel and Distributed Processing, School of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055426388","display_name":"Zhiquan Lai","orcid":"https://orcid.org/0000-0002-3458-4732"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiquan Lai","raw_affiliation_strings":["National Key Laboratory of Parallel and Distributed Processing, School of Computer, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Parallel and Distributed Processing, School of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114546953","display_name":"Lei Cai","orcid":"https://orcid.org/0009-0007-6965-2268"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Cai","raw_affiliation_strings":["National Key Laboratory of Parallel and Distributed Processing, School of Computer, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Parallel and Distributed Processing, School of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100440903","display_name":"Dongsheng Li","orcid":"https://orcid.org/0000-0001-9743-2034"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongsheng Li","raw_affiliation_strings":["National Key Laboratory of Parallel and Distributed Processing, School of Computer, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Parallel and Distributed Processing, School of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5011209187"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08136721,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"1346","last_page":"1347"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9991000294685364,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8470463156700134},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.8217609524726868},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.7675172090530396},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.6694694757461548},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5752378106117249},{"id":"https://openalex.org/keywords/spare-part","display_name":"Spare part","score":0.5574479699134827},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5465129017829895},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4994978904724121},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40094131231307983},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3501704931259155},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09716179966926575}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8470463156700134},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.8217609524726868},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.7675172090530396},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.6694694757461548},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5752378106117249},{"id":"https://openalex.org/C194648553","wikidata":"https://www.wikidata.org/wiki/Q1364774","display_name":"Spare part","level":2,"score":0.5574479699134827},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5465129017829895},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4994978904724121},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40094131231307983},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3501704931259155},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09716179966926575},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocomwkshps50562.2020.9162748","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocomwkshps50562.2020.9162748","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2259472270","https://openalex.org/W2787998955","https://openalex.org/W2900182564","https://openalex.org/W2906007643","https://openalex.org/W2963768958","https://openalex.org/W2966527647","https://openalex.org/W4301239768"],"related_works":["https://openalex.org/W2317245370","https://openalex.org/W3138386522","https://openalex.org/W2499279132","https://openalex.org/W4249323025","https://openalex.org/W198851386","https://openalex.org/W2030310580","https://openalex.org/W947442053","https://openalex.org/W1980160788","https://openalex.org/W2148915962","https://openalex.org/W2283866686"],"abstract_inverted_index":{"Distributed":[0],"training":[1,44,69],"of":[2,45,55],"large-scale":[3],"deep":[4,73],"neural":[5],"net-works(DNNs)":[6],"is":[7,49],"a":[8,66],"challenging":[9],"work":[10],"for":[11,27,71,91],"it's":[12],"time":[13],"costing":[14],"and":[15,80],"complicated":[16],"communication.":[17],"Existing":[18],"works":[19],"have":[20],"achieved":[21],"scalable":[22],"performance":[23],"on":[24,41],"GPU":[25],"clusters":[26],"dense":[28],"DNNs":[29,47],"in":[30,52],"the":[31,42,53,88,105],"computer":[32],"vision":[33],"area.":[34],"However,":[35],"little":[36],"progress":[37],"has":[38],"been":[39],"made":[40],"distributed":[43],"sparse":[46,72],"which":[48],"commonly":[50],"used":[51],"area":[54],"natural":[56],"language":[57],"processing":[58],"(NLP).":[59],"In":[60],"this":[61],"poster,":[62],"we":[63],"introduce":[64],"SA-HMA,":[65],"sparsity-aware":[67],"hybrid":[68],"method":[70],"models.":[74],"SA-HMA":[75,100],"combines":[76],"Model":[77],"Average":[78],"(MA)":[79],"synchronous":[81],"optimization":[82],"methods":[83],"together,":[84],"expecting":[85],"to":[86],"reduce":[87],"communication":[89],"cost":[90],"spare":[92],"model":[93],"training.":[94],"The":[95],"experimental":[96],"results":[97],"show":[98],"that":[99],"achieves":[101],"1.33\u00d7":[102],"speedup":[103],"over":[104],"state-of-the-art":[106],"work.":[107]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}