{"id":"https://openalex.org/W3118788144","doi":"https://doi.org/10.1109/infocom42981.2021.9488906","title":"Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation","display_name":"Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation","publication_year":2021,"publication_date":"2021-05-10","ids":{"openalex":"https://openalex.org/W3118788144","doi":"https://doi.org/10.1109/infocom42981.2021.9488906","mag":"3118788144"},"language":"en","primary_location":{"id":"doi:10.1109/infocom42981.2021.9488906","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom42981.2021.9488906","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2021 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2101.00787","any_repository_has_fulltext":true},"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":false,"raw_author_name":"Su Wang","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University","Purdue University School of Electrical and Computer Engineering#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University","institution_ids":[]},{"raw_affiliation_string":"Purdue University School of Electrical and Computer Engineering#TAB#","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089306758","display_name":"Mengyuan Lee","orcid":"https://orcid.org/0000-0001-7686-0507"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengyuan Lee","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University","Zhejiang University,College of Information Science and Electronic Engineering,,,,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang University,College of Information Science and Electronic Engineering,,,,","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059750214","display_name":"Seyyedali Hosseinalipour","orcid":"https://orcid.org/0000-0003-4266-4000"},"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":"Seyyedali Hosseinalipour","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University","Purdue University School of Electrical and Computer Engineering#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University","institution_ids":[]},{"raw_affiliation_string":"Purdue University School of Electrical and Computer Engineering#TAB#","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076263478","display_name":"Roberto Morabito","orcid":"https://orcid.org/0000-0002-4240-9934"},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]},{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["SE","US"],"is_corresponding":false,"raw_author_name":"Roberto Morabito","raw_affiliation_strings":["Princeton University, and Ericsson Research","Princeton University, and Ericsson Research,Department of Electrical Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Princeton University, and Ericsson Research","institution_ids":["https://openalex.org/I1306339040","https://openalex.org/I20089843"]},{"raw_affiliation_string":"Princeton University, and Ericsson Research,Department of Electrical Engineering","institution_ids":["https://openalex.org/I1306339040","https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110782105","display_name":"Mung Chiang","orcid":"https://orcid.org/0000-0002-8920-651X"},"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":"Mung Chiang","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University","Purdue University School of Electrical and Computer Engineering#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University","institution_ids":[]},{"raw_affiliation_string":"Purdue University School of Electrical and Computer Engineering#TAB#","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","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","Purdue University School of Electrical and Computer Engineering#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University","institution_ids":[]},{"raw_affiliation_string":"Purdue University School of Electrical and Computer Engineering#TAB#","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9994000196456909,"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/T13553","display_name":"Age of Information Optimization","score":0.9329000115394592,"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":0.855135440826416},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.8497289419174194},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.563143789768219},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5255932807922363},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.47064775228500366},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.46496516466140747},{"id":"https://openalex.org/keywords/heterogeneous-network","display_name":"Heterogeneous network","score":0.4374791979789734},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.42595916986465454},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.40588194131851196},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.35668081045150757},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3354894518852234},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3322276771068573},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2575500011444092},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23330643773078918},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.20926713943481445}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.855135440826416},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.8497289419174194},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.563143789768219},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5255932807922363},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.47064775228500366},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.46496516466140747},{"id":"https://openalex.org/C158207573","wikidata":"https://www.wikidata.org/wiki/Q5747224","display_name":"Heterogeneous network","level":4,"score":0.4374791979789734},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.42595916986465454},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.40588194131851196},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.35668081045150757},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3354894518852234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3322276771068573},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2575500011444092},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23330643773078918},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.20926713943481445},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/infocom42981.2021.9488906","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom42981.2021.9488906","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2021 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2101.00787","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2101.00787","pdf_url":"https://arxiv.org/pdf/2101.00787","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"mag:3118788144","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2101.00787","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2101.00787","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2101.00787","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2101.00787","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2101.00787","pdf_url":"https://arxiv.org/pdf/2101.00787","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1556949287","https://openalex.org/W2037698864","https://openalex.org/W2131940723","https://openalex.org/W2165698076","https://openalex.org/W2472333518","https://openalex.org/W2535838896","https://openalex.org/W2765806574","https://openalex.org/W2907492528","https://openalex.org/W2920095265","https://openalex.org/W2962788286","https://openalex.org/W2963318081","https://openalex.org/W2964248614","https://openalex.org/W2975156709","https://openalex.org/W3007720613","https://openalex.org/W3007967331","https://openalex.org/W3021654819","https://openalex.org/W3043758338","https://openalex.org/W3047282982","https://openalex.org/W3047304572","https://openalex.org/W3048492641","https://openalex.org/W3059999910","https://openalex.org/W3114678595","https://openalex.org/W3121122428","https://openalex.org/W4239127740","https://openalex.org/W6696497002","https://openalex.org/W6726873649","https://openalex.org/W6728757088","https://openalex.org/W6754582438","https://openalex.org/W6757292943","https://openalex.org/W6758757267","https://openalex.org/W6759241479","https://openalex.org/W6762879059","https://openalex.org/W6768511045","https://openalex.org/W6768632158","https://openalex.org/W6769742520","https://openalex.org/W6769958881","https://openalex.org/W6771536673","https://openalex.org/W6775488050","https://openalex.org/W6776205117","https://openalex.org/W6780736445","https://openalex.org/W6780886885","https://openalex.org/W6784661502","https://openalex.org/W6948004256"],"related_works":["https://openalex.org/W3003518926","https://openalex.org/W3126083338","https://openalex.org/W3207233526","https://openalex.org/W2994463281","https://openalex.org/W3198696615","https://openalex.org/W3007533255","https://openalex.org/W3111415751","https://openalex.org/W2908240230","https://openalex.org/W3047334203","https://openalex.org/W3042190833","https://openalex.org/W3037993577","https://openalex.org/W2770253907","https://openalex.org/W2808033007","https://openalex.org/W2898997450","https://openalex.org/W2918216436","https://openalex.org/W3130243242","https://openalex.org/W3047208416","https://openalex.org/W3047482769","https://openalex.org/W3130413249","https://openalex.org/W2754603669"],"abstract_inverted_index":{"The":[0],"conventional":[1,186],"federated":[2],"learning":[3,8],"(FedL)":[4],"architecture":[5],"distributes":[6],"machine":[7],"(ML)":[9],"across":[10],"worker":[11],"devices":[12,184],"by":[13,23,76],"having":[14],"them":[15],"train":[16],"local":[17,53],"models":[18],"that":[19,65,156,174],"are":[20],"periodically":[21],"aggregated":[22],"a":[24,61,135],"server.":[25],"FedL":[26,97,121,158,187],"ignores":[27],"two":[28],"important":[29],"characteristics":[30],"of":[31,88,113,182,192],"contemporary":[32],"wireless":[33],"networks,":[34],"however:":[35],"(i)":[36],"the":[37,85,105,114,146],"network":[38,106,149,166],"may":[39,47],"contain":[40],"heterogeneous":[41],"communication/computation":[42],"resources,":[43],"while":[44,177],"(ii)":[45],"there":[46],"be":[48],"significant":[49],"overlaps":[50],"in":[51,190],"devices'":[52],"data":[54,92],"distributions.":[55],"In":[56],"this":[57,131],"work,":[58],"we":[59,133,172],"develop":[60,134],"novel":[62],"optimization":[63,81],"methodology":[64,137,176],"jointly":[66],"accounts":[67],"for":[68],"these":[69],"factors":[70],"via":[71],"intelligent":[72],"device":[73,109],"sampling":[74,136,178],"complemented":[75],"device-to-device":[77],"(D2D)":[78],"offloading.":[79],"Our":[80],"aims":[82],"to":[83,95,101,119],"select":[84],"best":[86],"combination":[87],"sampled":[89,151],"nodes":[90],"and":[91,108,124,153,165,196],"offloading":[93,116,155],"configuration":[94],"maximize":[96],"training":[98],"accuracy":[99,195],"subject":[100],"realistic":[102],"constraints":[103],"on":[104,139,162],"topology":[107],"capabilities.":[110],"Theoretical":[111],"analysis":[112],"D2D":[115],"subproblem":[117],"leads":[118],"new":[120],"convergence":[122],"bounds":[123],"an":[125],"efficient":[126],"sequential":[127],"convex":[128],"optimizer.":[129],"Using":[130],"result,":[132],"based":[138],"graph":[140],"convolutional":[141],"networks":[142],"(GCNs)":[143],"which":[144],"learns":[145],"relationship":[147],"between":[148],"attributes,":[150],"nodes,":[152],"resulting":[154],"maximizes":[157],"accuracy.":[159],"Through":[160],"evaluation":[161],"real-world":[163],"datasets":[164],"measurements":[167],"from":[168],"our":[169,175],"IoT":[170],"testbed,":[171],"find":[173],"less":[179],"than":[180],"5%":[181],"all":[183],"outperforms":[185],"substantially":[188],"both":[189],"terms":[191],"trained":[193],"model":[194],"required":[197],"resource":[198],"utilization.":[199]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
