{"id":"https://openalex.org/W4403917847","doi":"https://doi.org/10.1109/jiot.2024.3488377","title":"Approximate Wireless Communication for Lossy Gradient Updates in IoT Federated Learning","display_name":"Approximate Wireless Communication for Lossy Gradient Updates in IoT Federated Learning","publication_year":2024,"publication_date":"2024-10-30","ids":{"openalex":"https://openalex.org/W4403917847","doi":"https://doi.org/10.1109/jiot.2024.3488377"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2024.3488377","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2024.3488377","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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/A5101920794","display_name":"Xiang Ma","orcid":"https://orcid.org/0000-0003-0401-7101"},"institutions":[{"id":"https://openalex.org/I121980950","display_name":"Utah State University","ror":"https://ror.org/00h6set76","country_code":"US","type":"education","lineage":["https://openalex.org/I121980950"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiang Ma","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Utah State University, Logan, UT, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Utah State University, Logan, UT, USA","institution_ids":["https://openalex.org/I121980950"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068479157","display_name":"Haijian Sun","orcid":"https://orcid.org/0000-0002-0680-147X"},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haijian Sun","raw_affiliation_strings":["School of Electrical and Computer Engineering, University of Georgia, Athens, GA, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, University of Georgia, Athens, GA, USA","institution_ids":["https://openalex.org/I165733156"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057118326","display_name":"Rose Qingyang Hu","orcid":"https://orcid.org/0000-0002-1571-3631"},"institutions":[{"id":"https://openalex.org/I121980950","display_name":"Utah State University","ror":"https://ror.org/00h6set76","country_code":"US","type":"education","lineage":["https://openalex.org/I121980950"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rose Qingyang Hu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Utah State University, Logan, UT, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Utah State University, Logan, UT, USA","institution_ids":["https://openalex.org/I121980950"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073527013","display_name":"Yi Qian","orcid":"https://orcid.org/0000-0001-5671-916X"},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi Qian","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Nebraska-Lincoln, Omaha, NE, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Nebraska-Lincoln, Omaha, NE, USA","institution_ids":["https://openalex.org/I114395901"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101920794"],"corresponding_institution_ids":["https://openalex.org/I121980950"],"apc_list":null,"apc_paid":null,"fwci":0.3475,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6786662,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"12","issue":"5","first_page":"5003","last_page":"5014"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9979000091552734,"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":0.9979000091552734,"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9979000091552734,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8726727366447449},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.8103500604629517},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.6310588717460632},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.5222947597503662},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.5186335444450378},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.4189606308937073},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4075677990913391},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.23676103353500366},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.21097704768180847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20669522881507874}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8726727366447449},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.8103500604629517},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.6310588717460632},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.5222947597503662},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5186335444450378},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.4189606308937073},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4075677990913391},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.23676103353500366},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.21097704768180847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20669522881507874}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2024.3488377","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2024.3488377","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W1969523708","https://openalex.org/W2106543408","https://openalex.org/W2145536957","https://openalex.org/W2160766950","https://openalex.org/W2190504356","https://openalex.org/W2269373103","https://openalex.org/W2407022425","https://openalex.org/W2480295938","https://openalex.org/W2535838896","https://openalex.org/W2606891064","https://openalex.org/W2751645157","https://openalex.org/W2783454406","https://openalex.org/W2794922239","https://openalex.org/W2899675781","https://openalex.org/W2946252360","https://openalex.org/W2973268792","https://openalex.org/W3001686302","https://openalex.org/W3009207988","https://openalex.org/W3011766871","https://openalex.org/W3091075746","https://openalex.org/W3091190876","https://openalex.org/W3101036738","https://openalex.org/W3109847748","https://openalex.org/W3111182214","https://openalex.org/W3122122969","https://openalex.org/W3133830739","https://openalex.org/W4226072204","https://openalex.org/W4293505591","https://openalex.org/W4293649366","https://openalex.org/W4297687186","https://openalex.org/W4318619660","https://openalex.org/W4319865686","https://openalex.org/W6604254268","https://openalex.org/W6631943919","https://openalex.org/W6640396632","https://openalex.org/W6693924525","https://openalex.org/W6728757088","https://openalex.org/W6738460352","https://openalex.org/W6745344627","https://openalex.org/W6749907889","https://openalex.org/W6789169260"],"related_works":["https://openalex.org/W1995805316","https://openalex.org/W2387503788","https://openalex.org/W2059658550","https://openalex.org/W4287903946","https://openalex.org/W50067980","https://openalex.org/W2999957348","https://openalex.org/W2964219139","https://openalex.org/W2803920876","https://openalex.org/W3042625184","https://openalex.org/W2053539432"],"abstract_inverted_index":{"Federated":[0],"learning":[1,9,33,176],"(FL)":[2],"has":[3],"emerged":[4],"as":[5,36],"a":[6,89],"distributed":[7],"machine":[8],"(ML)":[10],"technique":[11],"that":[12,70,95,161],"can":[13,71,165],"protect":[14],"local":[15],"data":[16],"privacy":[17],"for":[18,49,54,154],"participating":[19],"clients":[20],"and":[21,141,144,191],"improve":[22],"system":[23],"efficiency.":[24],"Instead":[25],"of":[26,56,109,117],"sharing":[27],"raw":[28],"data,":[29],"FL":[30,50,79,172],"exchanges":[31],"intermediate":[32],"parameters,":[34],"such":[35],"gradients,":[37,111],"among":[38],"clients.":[39],"This":[40,132],"article":[41],"presents":[42],"an":[43],"efficient":[44],"wireless":[45,68],"communication":[46,146],"approach":[47,113],"tailored":[48],"parameter":[51],"transmission,":[52],"especially":[53],"Internet":[55],"Things":[57],"(IoT)":[58],"devices,":[59],"to":[60,73,125],"facilitate":[61],"model":[62],"aggregation.":[63],"Our":[64,158],"study":[65],"considers":[66],"practical":[67],"channels":[69],"lead":[72],"random":[74,168],"bit":[75,92,169],"errors,":[76],"substantially":[77],"affecting":[78],"performance.":[80],"Motivated":[81],"by":[82,185],"empirical":[83],"gradient":[84,98,119],"value":[85],"distribution,":[86],"we":[87],"introduce":[88],"novel":[90],"received":[91,97],"masking":[93],"method":[94],"confines":[96],"values":[99,120],"within":[100],"prescribed":[101],"limits.":[102],"Moreover,":[103],"given":[104],"the":[105,115,139,142,180],"intrinsic":[106],"error":[107,127,189],"resilience":[108],"ML":[110],"our":[112,149,162],"enables":[114],"delivery":[116],"approximate":[118],"with":[121,179],"errors":[122,170],"without":[123],"resorting":[124],"extensive":[126],"correction":[128,190],"coding":[129],"or":[130],"retransmission.":[131,192],"strategy":[133],"reduces":[134],"computational":[135],"overhead":[136],"at":[137],"both":[138],"transmitter":[140],"receiver":[143],"minimizes":[145],"latency.":[147],"Consequently,":[148],"scheme":[150,164],"is":[151],"particularly":[152],"well-suited":[153],"resource-constrained":[155],"IoT":[156],"devices.":[157],"simulations":[159],"demonstrate":[160],"proposed":[163],"effectively":[166],"mitigate":[167],"in":[171],"performance,":[173],"achieving":[174],"similar":[175],"objectives":[177],"but":[178],"50%":[181],"air":[182],"time":[183],"required":[184],"existing":[186],"methods":[187],"involving":[188]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}