{"id":"https://openalex.org/W3164522852","doi":"https://doi.org/10.1109/tnet.2021.3075432","title":"Network-Aware Optimization of Distributed Learning for Fog Computing","display_name":"Network-Aware Optimization of Distributed Learning for Fog Computing","publication_year":2021,"publication_date":"2021-05-20","ids":{"openalex":"https://openalex.org/W3164522852","doi":"https://doi.org/10.1109/tnet.2021.3075432","mag":"3164522852"},"language":"en","primary_location":{"id":"doi:10.1109/tnet.2021.3075432","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnet.2021.3075432","pdf_url":null,"source":{"id":"https://openalex.org/S62238642","display_name":"IEEE/ACM Transactions on Networking","issn_l":"1063-6692","issn":["1063-6692","1558-2566"],"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/ACM Transactions on Networking","raw_type":"journal-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/A5100463053","display_name":"Su Wang","orcid":"https://orcid.org/0000-0002-7550-1120"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Su Wang","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA"],"raw_orcid":"https://orcid.org/0000-0002-7550-1120","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048412366","display_name":"Yichen Ruan","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yichen Ruan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Carnegie Mellon University, Mountain View, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Carnegie Mellon University, Mountain View, CA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045947650","display_name":"Yuwei Tu","orcid":null},"institutions":[{"id":"https://openalex.org/I152171566","display_name":"Aetna (United States)","ror":"https://ror.org/00tg1yh20","country_code":"US","type":"company","lineage":["https://openalex.org/I152171566"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuwei Tu","raw_affiliation_strings":["Aetna, a CVS Health Company, New York City, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aetna, a CVS Health Company, New York City, NY, USA","institution_ids":["https://openalex.org/I152171566"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037239032","display_name":"Satyavrat Wagle","orcid":"https://orcid.org/0009-0004-0153-225X"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Satyavrat Wagle","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Carnegie Mellon University, Mountain View, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Carnegie Mellon University, Mountain View, CA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020399355","display_name":"Christopher G. Brinton","orcid":"https://orcid.org/0000-0003-2771-3521"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher G. Brinton","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA"],"raw_orcid":"https://orcid.org/0000-0003-2771-3521","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085243096","display_name":"Carlee Joe\u2010Wong","orcid":"https://orcid.org/0000-0003-0785-9291"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carlee Joe-Wong","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Carnegie Mellon University, Mountain View, CA, USA"],"raw_orcid":"https://orcid.org/0000-0003-0785-9291","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Carnegie Mellon University, Mountain View, CA, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100463053"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":7.6877,"has_fulltext":false,"cited_by_count":56,"citation_normalized_percentile":{"value":0.9756025,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"29","issue":"5","first_page":"2019","last_page":"2032"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9977999925613403,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.6996503472328186},{"id":"https://openalex.org/keywords/fog-computing","display_name":"Fog computing","score":0.6509729623794556},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5554724335670471},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3379034399986267},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.3096269965171814},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1359158456325531}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6996503472328186},{"id":"https://openalex.org/C2986652147","wikidata":"https://www.wikidata.org/wiki/Q21809931","display_name":"Fog computing","level":3,"score":0.6509729623794556},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5554724335670471},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3379034399986267},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.3096269965171814},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1359158456325531}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnet.2021.3075432","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnet.2021.3075432","pdf_url":null,"source":{"id":"https://openalex.org/S62238642","display_name":"IEEE/ACM Transactions on Networking","issn_l":"1063-6692","issn":["1063-6692","1558-2566"],"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/ACM Transactions on Networking","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G3027581024","display_name":null,"funder_award_id":"W911NF1910036","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G8131504108","display_name":null,"funder_award_id":"CNS-1909306","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"},{"id":"https://openalex.org/F4320338303","display_name":"Naval Surface Warfare Center","ror":"https://ror.org/03dm1p143"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W120575527","https://openalex.org/W1503398984","https://openalex.org/W2053637704","https://openalex.org/W2110733023","https://openalex.org/W2123154536","https://openalex.org/W2141648331","https://openalex.org/W2147800946","https://openalex.org/W2162576315","https://openalex.org/W2313564095","https://openalex.org/W2325213220","https://openalex.org/W2405578611","https://openalex.org/W2472333518","https://openalex.org/W2535838896","https://openalex.org/W2541884796","https://openalex.org/W2554620432","https://openalex.org/W2606891064","https://openalex.org/W2609028625","https://openalex.org/W2609285553","https://openalex.org/W2786070938","https://openalex.org/W2789577108","https://openalex.org/W2792220137","https://openalex.org/W2807006176","https://openalex.org/W2892209803","https://openalex.org/W2897021175","https://openalex.org/W2912015447","https://openalex.org/W2913243576","https://openalex.org/W2920031528","https://openalex.org/W2920095265","https://openalex.org/W2920179928","https://openalex.org/W2945001515","https://openalex.org/W2950012677","https://openalex.org/W2950881963","https://openalex.org/W2962883027","https://openalex.org/W2962989062","https://openalex.org/W2963300197","https://openalex.org/W2963318081","https://openalex.org/W2963361660","https://openalex.org/W2989289980","https://openalex.org/W2998045710","https://openalex.org/W3045657448","https://openalex.org/W3047595056","https://openalex.org/W3101036738","https://openalex.org/W3135231128","https://openalex.org/W4297687186","https://openalex.org/W4300427714","https://openalex.org/W4318619660","https://openalex.org/W6678379972","https://openalex.org/W6684583874","https://openalex.org/W6713835734","https://openalex.org/W6728757088","https://openalex.org/W6738383168","https://openalex.org/W6749257597","https://openalex.org/W6752029299","https://openalex.org/W6754708055","https://openalex.org/W6755368796","https://openalex.org/W6758455886","https://openalex.org/W6770857383"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3120107203","https://openalex.org/W3159358326","https://openalex.org/W2905312593","https://openalex.org/W4396508792","https://openalex.org/W4400031139","https://openalex.org/W4390647609","https://openalex.org/W4210913893","https://openalex.org/W2990732744","https://openalex.org/W4381747553"],"abstract_inverted_index":{"Fog":[0],"computing":[1,139],"promises":[2],"to":[3,8,10,24,70,84,90,97],"enable":[4],"machine":[5],"learning":[6,56,206],"tasks":[7,89],"scale":[9],"large":[11],"amounts":[12],"of":[13,130,138,147,157,185,192,201],"data":[14,63,87,103,113,158,167,193],"by":[15,50],"distributing":[16],"processing":[17,64,88],"across":[18,194],"connected":[19],"devices.":[20,195],"Two":[21],"key":[22],"challenges":[23,49],"achieving":[25],"this":[26],"goal":[27],"are":[28],"(i)":[29],"heterogeneity":[30],"in":[31,135,141,154],"devices\u2019":[32],"compute":[33],"resources":[34],"and":[35,65,106,207],"(ii)":[36],"topology":[37],"constraints":[38],"on":[39,119,165,204],"which":[40],"devices":[41,59,83],"communicate":[42],"with":[43,93,102],"each":[44,91,161],"other.":[45],"We":[46,108,196],"address":[47],"these":[48,94],"developing":[51],"a":[52,71],"novel":[53],"network-aware":[54],"distributed":[55],"methodology":[57],"where":[58],"optimally":[60],"share":[61],"local":[62],"send":[66],"their":[67,86],"learnt":[68],"parameters":[69],"server":[72],"for":[73,125,189],"periodic":[74],"aggregation.":[75],"Unlike":[76],"traditional":[77],"federated":[78],"learning,":[79],"our":[80,170,174],"method":[81],"enables":[82],"offload":[85],"other,":[92],"decisions":[95],"optimized":[96],"trade":[98],"off":[99],"costs":[100,140],"associated":[101],"processing,":[104],"offloading,":[105],"discarding.":[107],"analytically":[109],"characterize":[110],"the":[111,120,128,136,142,145,155,183,186,199],"optimal":[112],"transfer":[114],"solution":[115],"under":[116],"different":[117],"assumptions":[118],"fog":[121],"network":[122,143,177,202],"scenario,":[123],"showing":[124],"example":[126],"that":[127,173],"value":[129],"offloading":[131],"is":[132,149],"approximately":[133],"linear":[134],"range":[137],"when":[144],"cost":[146],"discarding":[148],"modeled":[150],"as":[151],"decreasing":[152],"linearly":[153],"amount":[156],"processed":[159],"at":[160],"node.":[162],"Our":[163],"experiments":[164],"real-world":[166],"traces":[168],"from":[169],"testbed":[171],"confirm":[172],"algorithms":[175],"improve":[176],"resource":[178,208],"utilization":[179],"substantially":[180],"without":[181],"sacrificing":[182],"accuracy":[184],"learned":[187],"model,":[188],"varying":[190],"distributions":[191],"also":[197],"investigate":[198],"effect":[200],"dynamics":[203],"model":[205],"costs.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}
