{"id":"https://openalex.org/W4293251546","doi":"https://doi.org/10.1109/tnse.2022.3181503","title":"Guest Editorial: Introduction to the Special Section on Communication-Efficient Distributed Machine Learning","display_name":"Guest Editorial: Introduction to the Special Section on Communication-Efficient Distributed Machine Learning","publication_year":2022,"publication_date":"2022-06-27","ids":{"openalex":"https://openalex.org/W4293251546","doi":"https://doi.org/10.1109/tnse.2022.3181503"},"language":"en","primary_location":{"id":"doi:10.1109/tnse.2022.3181503","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tnse.2022.3181503","pdf_url":"https://ieeexplore.ieee.org/ielx7/6488902/9808096/09808097.pdf","source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Network Science and Engineering","raw_type":"journal-article"},"type":"editorial","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/6488902/9808096/09808097.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100730785","display_name":"Xiaowen Chu","orcid":"https://orcid.org/0000-0001-9745-4372"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Xiaowen Chu","raw_affiliation_strings":["The Hong Kong University of Science and Technology, Guangzhou, China","HKUST - The Hong Kong University of Science and Technology (Hong Kong SAR China)"],"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology, Guangzhou, China","institution_ids":[]},{"raw_affiliation_string":"HKUST - The Hong Kong University of Science and Technology (Hong Kong SAR China)","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001227032","display_name":"Fausto Giunchiglia","orcid":"https://orcid.org/0000-0002-5903-6150"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fausto Giunchiglia","raw_affiliation_strings":["University of Trento, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085721523","display_name":"Giovanni Neglia","orcid":"https://orcid.org/0000-0001-8779-0620"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Giovanni Neglia","raw_affiliation_strings":["INRIA, Sophia Antipolis, France","NEO - Network Engineering and Operations (2004 route des Lucioles BP 93 06902 Sophia Antipolis - France)"],"affiliations":[{"raw_affiliation_string":"INRIA, Sophia Antipolis, France","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"NEO - Network Engineering and Operations (2004 route des Lucioles BP 93 06902 Sophia Antipolis - France)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003800161","display_name":"David Gregg","orcid":"https://orcid.org/0000-0003-3782-4612"},"institutions":[{"id":"https://openalex.org/I205274468","display_name":"Trinity College Dublin","ror":"https://ror.org/02tyrky19","country_code":"IE","type":"education","lineage":["https://openalex.org/I205274468"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"David Gregg","raw_affiliation_strings":["Trinity College Dublin, Dublin, Ireland","Trinity College Dublin (College Green, Dublin 2, Ireland - Ireland)"],"affiliations":[{"raw_affiliation_string":"Trinity College Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I205274468"]},{"raw_affiliation_string":"Trinity College Dublin (College Green, Dublin 2, Ireland - Ireland)","institution_ids":["https://openalex.org/I205274468"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112860399","display_name":"Jiangchuang Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jiangchuang Liu","raw_affiliation_strings":["School of Computing Science, Simon Fraser University, Burnaby, BC, Canada"],"affiliations":[{"raw_affiliation_string":"School of Computing Science, Simon Fraser University, Burnaby, BC, Canada","institution_ids":["https://openalex.org/I18014758"]}]}],"institutions":[],"countries_distinct_count":5,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100730785"],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":0.0837,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42872032,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9","issue":"4","first_page":"1949","last_page":"1950"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9208999872207642,"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":0.9208999872207642,"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":0.7879734039306641},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.736047625541687},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6905696392059326},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6244266033172607},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5582689046859741},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49492043256759644},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4198451638221741},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.41106724739074707},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.15238791704177856},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1163170337677002}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7879734039306641},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.736047625541687},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6905696392059326},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6244266033172607},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5582689046859741},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49492043256759644},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4198451638221741},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.41106724739074707},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.15238791704177856},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1163170337677002},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tnse.2022.3181503","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tnse.2022.3181503","pdf_url":"https://ieeexplore.ieee.org/ielx7/6488902/9808096/09808097.pdf","source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Network Science and Engineering","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-04815107v1","is_oa":false,"landing_page_url":"https://inria.hal.science/hal-04815107","pdf_url":null,"source":{"id":"https://openalex.org/S4406922426","display_name":"SPIRE - Sciences Po Institutional 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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Network Science and Engineering, 9 (4), pp.1949-1950, 2022, ⟨10.1109/TNSE.2022.3181503⟩","raw_type":"Special issue"},{"id":"pmh:oai:iris.unitn.it:11572/464155","is_oa":false,"landing_page_url":"https://hdl.handle.net/11572/464155","pdf_url":null,"source":{"id":"https://openalex.org/S4377196320","display_name":"Iris (University of Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-118313","is_oa":false,"landing_page_url":"http://www.scopus.com/record/display.url?eid=2-s2.0-85133774259&origin=inward","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1109/tnse.2022.3181503","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tnse.2022.3181503","pdf_url":"https://ieeexplore.ieee.org/ielx7/6488902/9808096/09808097.pdf","source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Network Science and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4293251546.pdf","grobid_xml":"https://content.openalex.org/works/W4293251546.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2011430815","https://openalex.org/W4321606653","https://openalex.org/W1982914007","https://openalex.org/W2159583675","https://openalex.org/W4380075502","https://openalex.org/W1824242903","https://openalex.org/W1493858311","https://openalex.org/W2155470929","https://openalex.org/W2111125783","https://openalex.org/W2394465510"],"abstract_inverted_index":{"The":[0,137],"papers":[1],"in":[2,21,28],"this":[3],"special":[4],"section":[5],"focus":[6],"on":[7,68],"communication-efficient":[8,140],"distributed":[9,82,141],"machine":[10,46,83,94,142],"learning.":[11],"Machine":[12],"learning,":[13,16],"especially":[14],"deep":[15,54],"has":[17,145],"been":[18],"successfully":[19],"applied":[20],"a":[22,69,77],"wealth":[23],"of":[24,31,45,60,113,139],"practical":[25],"AI":[26,115],"applications":[27],"the":[29,42,87,98,105,109,114,117,124,130],"field":[30],"computer":[32],"vision,":[33],"natural":[34],"language":[35],"processing,":[36],"healthcare,":[37],"finance,":[38],"robotics,":[39],"etc.":[40],"With":[41,108],"increasing":[43],"size":[44],"learning":[47,55,84,95,143],"models":[48,56],"and":[49,62,127,152],"training":[50,53,88,106],"data":[51,118],"sets,":[52],"requires":[57,97],"significant":[58],"amount":[59],"computations":[61],"may":[63],"take":[64],"days":[65],"to":[66,80,85,100,134],"months":[67],"single":[70],"GPU":[71],"or":[72],"TPU.":[73],"Therefore,":[74],"it":[75],"becomes":[76],"common":[78],"practice":[79],"exploit":[81],"accelerate":[86],"process":[89],"with":[90],"multiple":[91],"processors.":[92],"Distributed":[93],"typically":[96],"processors":[99,121],"exchange":[101],"information":[102],"repeatedly":[103],"throughout":[104],"process.":[107],"fast-growing":[110],"computing":[111],"power":[112],"processors,":[116],"communications":[119],"among":[120],"gradually":[122],"become":[123],"performance":[125],"bottleneck":[126],"excessively":[128],"limit":[129],"system":[131],"scalability":[132],"due":[133],"Amdahl\u2019s":[135],"law.":[136],"design":[138],"systems":[144],"attracted":[146],"great":[147],"attention":[148],"from":[149],"both":[150],"academia":[151],"industry.":[153]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}