{"id":"https://openalex.org/W4386825288","doi":"https://doi.org/10.1109/tnnls.2023.3309735","title":"Enhancing Distributed Neural Network Training Through Node-Based Communications","display_name":"Enhancing Distributed Neural Network Training Through Node-Based Communications","publication_year":2023,"publication_date":"2023-09-18","ids":{"openalex":"https://openalex.org/W4386825288","doi":"https://doi.org/10.1109/tnnls.2023.3309735","pmid":"https://pubmed.ncbi.nlm.nih.gov/37721884"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3309735","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3309735","pdf_url":"https://ieeexplore.ieee.org/ielx7/5962385/6104215/10254237.pdf","source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/5962385/6104215/10254237.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019044105","display_name":"Sergio Moreno\u2010\u00c1lvarez","orcid":"https://orcid.org/0000-0002-1858-9920"},"institutions":[{"id":"https://openalex.org/I80606768","display_name":"Universidad de Extremadura","ror":"https://ror.org/0174shg90","country_code":"ES","type":"education","lineage":["https://openalex.org/I80606768"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Sergio Moreno-\u00c1lvarez","raw_affiliation_strings":["Departamento de Ingenier&#x00ED;a de Sistemas Inform&#x00E1;ticos y Telem&#x00E1;ticos, Escuela Polit&#x00E9;cnica, Universidad de Extremadura, C&#x00E1;ceres, Spain"],"raw_orcid":"https://orcid.org/0000-0002-1858-9920","affiliations":[{"raw_affiliation_string":"Departamento de Ingenier&#x00ED;a de Sistemas Inform&#x00E1;ticos y Telem&#x00E1;ticos, Escuela Polit&#x00E9;cnica, Universidad de Extremadura, C&#x00E1;ceres, Spain","institution_ids":["https://openalex.org/I80606768"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046123228","display_name":"Mercedes E. Paoletti","orcid":"https://orcid.org/0000-0003-1030-3729"},"institutions":[{"id":"https://openalex.org/I80606768","display_name":"Universidad de Extremadura","ror":"https://ror.org/0174shg90","country_code":"ES","type":"education","lineage":["https://openalex.org/I80606768"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Mercedes E. Paoletti","raw_affiliation_strings":["Departamento de Tecnolog&#x00ED;a de Computadores y Comunicaciones, Escuela Polit&#x00E9;cnica, Universidad de Extremadura, C&#x00E1;ceres, Spain"],"raw_orcid":"https://orcid.org/0000-0003-1030-3729","affiliations":[{"raw_affiliation_string":"Departamento de Tecnolog&#x00ED;a de Computadores y Comunicaciones, Escuela Polit&#x00E9;cnica, Universidad de Extremadura, C&#x00E1;ceres, Spain","institution_ids":["https://openalex.org/I80606768"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058680339","display_name":"Gabriele Cavallaro","orcid":"https://orcid.org/0000-0002-3239-9904"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gabriele Cavallaro","raw_affiliation_strings":["J&#x00FC;lich Supercomputing Centre, Forschungszentrum J&#x00FC;lich, J&#x00FC;lich, Germany"],"raw_orcid":"https://orcid.org/0000-0002-3239-9904","affiliations":[{"raw_affiliation_string":"J&#x00FC;lich Supercomputing Centre, Forschungszentrum J&#x00FC;lich, J&#x00FC;lich, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039673511","display_name":"Juan M. Haut","orcid":"https://orcid.org/0000-0001-6701-961X"},"institutions":[{"id":"https://openalex.org/I80606768","display_name":"Universidad de Extremadura","ror":"https://ror.org/0174shg90","country_code":"ES","type":"education","lineage":["https://openalex.org/I80606768"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Juan M. Haut","raw_affiliation_strings":["Departamento de Tecnolog&#x00ED;a de Computadores y Comunicaciones, Escuela Polit&#x00E9;cnica, Universidad de Extremadura, C&#x00E1;ceres, Spain"],"raw_orcid":"https://orcid.org/0000-0001-6701-961X","affiliations":[{"raw_affiliation_string":"Departamento de Tecnolog&#x00ED;a de Computadores y Comunicaciones, Escuela Polit&#x00E9;cnica, Universidad de Extremadura, C&#x00E1;ceres, Spain","institution_ids":["https://openalex.org/I80606768"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1907,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.5148433,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"35","issue":"12","first_page":"17893","last_page":"17907"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9961000084877014,"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"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9961000084877014,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9922999739646912,"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/T12676","display_name":"Machine Learning and ELM","score":0.9894999861717224,"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":0.8444438576698303},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.7455411553382874},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.62794429063797},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.6177873611450195},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5985374450683594},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.5813899040222168},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5333461761474609},{"id":"https://openalex.org/keywords/data-parallelism","display_name":"Data parallelism","score":0.520063579082489},{"id":"https://openalex.org/keywords/replica","display_name":"Replica","score":0.5048795342445374},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.44865554571151733},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.4154011011123657},{"id":"https://openalex.org/keywords/parallelism","display_name":"Parallelism (grammar)","score":0.39494866132736206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3535062372684479},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3301827907562256},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.1440926194190979},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08960404992103577}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8444438576698303},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.7455411553382874},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.62794429063797},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6177873611450195},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5985374450683594},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.5813899040222168},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5333461761474609},{"id":"https://openalex.org/C61483411","wikidata":"https://www.wikidata.org/wiki/Q3124522","display_name":"Data parallelism","level":3,"score":0.520063579082489},{"id":"https://openalex.org/C2775937380","wikidata":"https://www.wikidata.org/wiki/Q1232589","display_name":"Replica","level":2,"score":0.5048795342445374},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.44865554571151733},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.4154011011123657},{"id":"https://openalex.org/C2781172179","wikidata":"https://www.wikidata.org/wiki/Q853109","display_name":"Parallelism (grammar)","level":2,"score":0.39494866132736206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3535062372684479},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3301827907562256},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.1440926194190979},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08960404992103577},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tnnls.2023.3309735","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3309735","pdf_url":"https://ieeexplore.ieee.org/ielx7/5962385/6104215/10254237.pdf","source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:37721884","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37721884","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null},{"id":"pmh:oai:e-spacio.uned.es:20.500.14468/24438","is_oa":true,"landing_page_url":"https://hdl.handle.net/20.500.14468/24438","pdf_url":"https://e-spacio.uned.es/bitstreams/20e9309f-f766-4942-89d3-ca655c730685/download","source":{"id":"https://openalex.org/S7407055166","display_name":"UNED repository","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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"journal article"}],"best_oa_location":{"id":"doi:10.1109/tnnls.2023.3309735","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3309735","pdf_url":"https://ieeexplore.ieee.org/ielx7/5962385/6104215/10254237.pdf","source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G1986520809","display_name":"DEEP - Extreme Scale Technologies","funder_award_id":"754304","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G232734274","display_name":null,"funder_award_id":"GR21040","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G2588716321","display_name":null,"funder_award_id":"GR21040","funder_id":"https://openalex.org/F4320328352","funder_display_name":"Junta de Extremadura"},{"id":"https://openalex.org/G5377827384","display_name":null,"funder_award_id":"PID2019-110315RB-I00 (APRISA)","funder_id":"https://openalex.org/F4320322930","funder_display_name":"Ministerio de Ciencia e Innovaci\u00f3n"},{"id":"https://openalex.org/G5740916904","display_name":null,"funder_award_id":"GR21099","funder_id":"https://openalex.org/F4320328352","funder_display_name":"Junta de Extremadura"},{"id":"https://openalex.org/G639309596","display_name":null,"funder_award_id":"GR21040","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G7355544864","display_name":null,"funder_award_id":"GR21099","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G7470054914","display_name":null,"funder_award_id":"IB20040","funder_id":"https://openalex.org/F4320328352","funder_display_name":"Junta de Extremadura"},{"id":"https://openalex.org/G8025794148","display_name":null,"funder_award_id":"754304","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320322930","display_name":"Ministerio de Ciencia e Innovaci\u00f3n","ror":"https://ror.org/034900433"},{"id":"https://openalex.org/F4320328352","display_name":"Junta de Extremadura","ror":"https://ror.org/01df4mv68"},{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320335412","display_name":"Centro de Investigaciones Energ\u00e9ticas, Medioambientales y Tecnol\u00f3gicas","ror":"https://ror.org/05xx77y52"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386825288.pdf","grobid_xml":"https://content.openalex.org/works/W4386825288.grobid-xml"},"referenced_works_count":84,"referenced_works":["https://openalex.org/W31923072","https://openalex.org/W43785071","https://openalex.org/W1522301498","https://openalex.org/W1526114793","https://openalex.org/W1572016165","https://openalex.org/W1846799578","https://openalex.org/W2007339694","https://openalex.org/W2097117768","https://openalex.org/W2117539524","https://openalex.org/W2138011018","https://openalex.org/W2159997088","https://openalex.org/W2160054705","https://openalex.org/W2166706236","https://openalex.org/W2170796499","https://openalex.org/W2182396527","https://openalex.org/W2194775991","https://openalex.org/W2592929672","https://openalex.org/W2766140019","https://openalex.org/W2888555799","https://openalex.org/W2904483095","https://openalex.org/W2908510526","https://openalex.org/W2948457960","https://openalex.org/W2955964483","https://openalex.org/W2962758826","https://openalex.org/W2963351145","https://openalex.org/W2963959597","https://openalex.org/W2982475424","https://openalex.org/W2985108934","https://openalex.org/W2990352720","https://openalex.org/W3010045285","https://openalex.org/W3012220622","https://openalex.org/W3019166713","https://openalex.org/W3028642772","https://openalex.org/W3037585619","https://openalex.org/W3086105743","https://openalex.org/W3094502228","https://openalex.org/W3096831136","https://openalex.org/W3102606411","https://openalex.org/W3117450517","https://openalex.org/W3118608800","https://openalex.org/W3128163562","https://openalex.org/W3134742951","https://openalex.org/W3139096080","https://openalex.org/W3140759899","https://openalex.org/W3164284422","https://openalex.org/W3190806564","https://openalex.org/W3193917007","https://openalex.org/W3194959296","https://openalex.org/W3197395255","https://openalex.org/W4221008227","https://openalex.org/W4225595610","https://openalex.org/W4225711348","https://openalex.org/W4287640649","https://openalex.org/W4287760294","https://openalex.org/W4288110990","https://openalex.org/W4288417148","https://openalex.org/W4301239768","https://openalex.org/W4318619660","https://openalex.org/W4322616321","https://openalex.org/W4385245566","https://openalex.org/W4386709668","https://openalex.org/W6600609147","https://openalex.org/W6631190155","https://openalex.org/W6638677478","https://openalex.org/W6684249991","https://openalex.org/W6726983090","https://openalex.org/W6728757088","https://openalex.org/W6739693220","https://openalex.org/W6745723224","https://openalex.org/W6748645090","https://openalex.org/W6754115188","https://openalex.org/W6756379755","https://openalex.org/W6757817989","https://openalex.org/W6761040187","https://openalex.org/W6770895831","https://openalex.org/W6773520829","https://openalex.org/W6775649616","https://openalex.org/W6779530071","https://openalex.org/W6784591795","https://openalex.org/W6787972765","https://openalex.org/W6788071488","https://openalex.org/W6795676476","https://openalex.org/W6800633732","https://openalex.org/W6856795522"],"related_works":["https://openalex.org/W2966297898","https://openalex.org/W2955229517","https://openalex.org/W2950520577","https://openalex.org/W1554644772","https://openalex.org/W2494130044","https://openalex.org/W2003935582","https://openalex.org/W2177838837","https://openalex.org/W2963831937","https://openalex.org/W3209384898","https://openalex.org/W74409296"],"abstract_inverted_index":{"The":[0,130,152,198],"amount":[1,73],"of":[2,28,70,74,81,88,145,160,185,195],"data":[3,58],"needed":[4],"to":[5,16,117,189],"effectively":[6],"train":[7],"modern":[8],"deep":[9,147],"neural":[10,148,171],"architectures":[11],"has":[12],"grown":[13],"significantly,":[14],"leading":[15],"increased":[17],"computational":[18],"requirements.":[19],"These":[20],"intensive":[21],"computations":[22],"are":[23,179,187],"tackled":[24],"by":[25],"the":[26,45,49,52,79,82,86,106,120,157,164,168,191],"combination":[27],"last":[29],"generation":[30],"computing":[31],"resources,":[32],"such":[33],"as":[34,44,133],"accelerators,":[35],"or":[36,91],"classic":[37],"processing":[38],"units.":[39],"Nevertheless,":[40],"gradient":[41,121],"communication":[42,96,136],"remains":[43],"major":[46],"bottleneck,":[47],"hindering":[48],"efficiency":[50],"notwithstanding":[51],"improvements":[53],"in":[54,66],"runtimes":[55],"obtained":[56],"through":[57],"parallelism":[59,62],"strategies.":[60],"Data":[61],"involves":[63],"all":[64],"processes":[65],"a":[67,94,100,134,142,202],"global":[68,203],"exchange":[69,122],"potentially":[71],"high":[72],"data,":[75],"which":[76],"may":[77],"impede":[78],"achievement":[80],"desired":[83],"speedup":[84],"and":[85,174,193],"elimination":[87],"noticeable":[89],"delays":[90],"bottlenecks.":[92],"As":[93],"result,":[95],"latency":[97],"issues":[98],"pose":[99],"significant":[101],"challenge":[102],"that":[103],"profoundly":[104],"impacts":[105],"performance":[107],"on":[108],"distributed":[109],"platforms.":[110],"This":[111],"research":[112],"presents":[113],"node-based":[114],"optimization":[115,153],"steps":[116],"significantly":[118],"reduce":[119],"between":[123],"model":[124,128],"replicas":[125],"whilst":[126,207],"ensuring":[127],"convergence.":[129],"proposal":[131],"serves":[132],"versatile":[135],"scheme,":[137],"suitable":[138],"for":[139],"integration":[140],"into":[141,155],"wide":[143],"range":[144],"general-purpose":[146],"network":[149,172],"(DNN)":[150],"algorithms.":[151],"takes":[154],"consideration":[156],"specific":[158],"location":[159],"each":[161],"replica":[162],"within":[163],"platform.":[165],"To":[166],"demonstrate":[167,190],"effectiveness,":[169],"different":[170],"approaches":[173],"datasets":[175],"with":[176],"disjoint":[177],"properties":[178],"used.":[180],"In":[181],"addition,":[182],"multiple":[183],"types":[184],"applications":[186],"considered":[188],"robustness":[192],"versatility":[194],"our":[196],"proposal.":[197],"experimental":[199],"results":[200],"show":[201],"training":[204],"time":[205],"reduction":[206],"slightly":[208],"improving":[209],"accuracy.":[210],"Code:":[211],"https://github.com/mhaut/eDNNcomm.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-20T07:56:41.581041","created_date":"2025-10-10T00:00:00"}
