{"id":"https://openalex.org/W4290996360","doi":"https://doi.org/10.1109/icc45855.2022.9838401","title":"Spatio-Temporal Federated Learning for Massive Wireless Edge Networks","display_name":"Spatio-Temporal Federated Learning for Massive Wireless Edge Networks","publication_year":2022,"publication_date":"2022-05-16","ids":{"openalex":"https://openalex.org/W4290996360","doi":"https://doi.org/10.1109/icc45855.2022.9838401"},"language":"en","primary_location":{"id":"doi:10.1109/icc45855.2022.9838401","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45855.2022.9838401","pdf_url":null,"source":{"id":"https://openalex.org/S4363607711","display_name":"ICC 2022 - IEEE International Conference on Communications","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2022 - IEEE International Conference on Communications","raw_type":"proceedings-article"},"type":"conference-paper","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/A5084900180","display_name":"Chun\u2010Hung Liu","orcid":"https://orcid.org/0000-0001-8822-9966"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chun-Hung Liu","raw_affiliation_strings":["Mississippi State University,Department of Electrical &amp; Computer Engineering,MS,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mississippi State University,Department of Electrical &amp; Computer Engineering,MS,USA","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020169858","display_name":"Kai\u2010Ten Feng","orcid":"https://orcid.org/0000-0002-2781-8449"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kai-Ten Feng","raw_affiliation_strings":["National Yang Ming Chiao Tung University,Department of Electrical &amp; Computer Engineering,Hsinchu,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Yang Ming Chiao Tung University,Department of Electrical &amp; Computer Engineering,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003062979","display_name":"Lu Wei","orcid":"https://orcid.org/0000-0002-8065-0956"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lu Wei","raw_affiliation_strings":["Mississippi State University,Department of Electrical &amp; Computer Engineering,MS,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mississippi State University,Department of Electrical &amp; Computer Engineering,MS,USA","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101770756","display_name":"Yu Luo","orcid":"https://orcid.org/0000-0002-0179-8312"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Luo","raw_affiliation_strings":["Mississippi State University,Department of Electrical &amp; Computer Engineering,MS,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mississippi State University,Department of Electrical &amp; Computer Engineering,MS,USA","institution_ids":["https://openalex.org/I99041443"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2816","last_page":"2821"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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":1.0,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9897000193595886,"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"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9801999926567078,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8690699338912964},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6940518021583557},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.5867180228233337},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5665282011032104},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5583662390708923},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.5467088222503662},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.49513664841651917},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.48609447479248047},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.46415314078330994},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4609085023403168},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.45151567459106445},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.44381651282310486},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33736276626586914},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32829049229621887},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3267074227333069},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18526345491409302},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1174359917640686},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1091691255569458}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8690699338912964},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6940518021583557},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5867180228233337},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5665282011032104},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5583662390708923},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.5467088222503662},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.49513664841651917},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.48609447479248047},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.46415314078330994},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4609085023403168},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.45151567459106445},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.44381651282310486},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33736276626586914},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32829049229621887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3267074227333069},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18526345491409302},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1174359917640686},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1091691255569458},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc45855.2022.9838401","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45855.2022.9838401","pdf_url":null,"source":{"id":"https://openalex.org/S4363607711","display_name":"ICC 2022 - IEEE International Conference on Communications","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2022 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309618","display_name":"Ministry of Science and Technology","ror":"https://ror.org/02b207r52"},{"id":"https://openalex.org/F4320309637","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W586490843","https://openalex.org/W1630830633","https://openalex.org/W2535838896","https://openalex.org/W2586459757","https://openalex.org/W2907379776","https://openalex.org/W2948356724","https://openalex.org/W2963318081","https://openalex.org/W2964219000","https://openalex.org/W2974170798","https://openalex.org/W2999074226","https://openalex.org/W3006919779","https://openalex.org/W3108590825","https://openalex.org/W3153347425","https://openalex.org/W4297687186","https://openalex.org/W4318619660","https://openalex.org/W6728757088"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W1485337887","https://openalex.org/W4320067866"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,14,30,111],"novel":[4],"approach":[5,52],"to":[6,45,55,77,99,104,120,136],"conduct":[7],"highly":[8],"efficient":[9],"federated":[10],"learning":[11,70,93,116,139,159],"(FL)":[12],"over":[13],"massive":[15],"wireless":[16,184],"edge":[17,21,47,97],"network,":[18],"where":[19],"an":[20],"server":[22,98],"and":[23,65,134,161,180],"numerous":[24],"mobile":[25,43,74,101],"devices":[26,44,75,102],"(clients)":[27],"jointly":[28,61],"learn":[29],"global":[31],"model":[32,86],"without":[33],"transporting":[34],"the":[35,42,46,63,69,90,96,100,122,138,152,167,178],"huge":[36],"amount":[37],"of":[38,113,124,130,141,154,164,170,182],"data":[39,105,155],"collected":[40],"by":[41],"server.":[48],"The":[49,84,172],"proposed":[50,133],"FL":[51,58],"is":[53,132],"referred":[54],"as":[56],"spatio-temporal":[57],"(STFL),":[59],"which":[60],"exploits":[62],"spatial":[64],"temporal":[66],"correlations":[67],"between":[68],"updates":[71,117],"from":[72,95],"different":[73],"scheduled":[76],"join":[78],"STFL":[79,85,131,142],"in":[80,118],"various":[81],"training":[82],"epochs.":[83],"not":[87],"only":[88],"represents":[89],"realistic":[91],"intermittent":[92,125,158],"behavior":[94],"due":[103],"delivery":[106,156],"outage,":[107,157],"but":[108],"also":[109],"features":[110],"mechanism":[112],"compensating":[114],"loss":[115],"order":[119],"mitigate":[121],"impacts":[123],"learning.":[126],"An":[127],"analytical":[128],"framework":[129],"employed":[135],"study":[137],"capability":[140],"via":[143],"its":[144],"convergence":[145,168],"performance.":[146],"In":[147],"particular,":[148],"we":[149],"have":[150],"assessed":[151],"impact":[153],"mitigation,":[160],"statistical":[162],"heterogeneity":[163],"datasets":[165],"on":[166],"performance":[169],"STFL.":[171],"results":[173],"provide":[174],"crucial":[175],"insights":[176],"into":[177],"design":[179],"analysis":[181],"STFL-based":[183],"networks.":[185]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
