{"id":"https://openalex.org/W4396680602","doi":"https://doi.org/10.1109/tpds.2024.3396133","title":"FedREM: Guided Federated Learning in the Presence of Dynamic Device Unpredictability","display_name":"FedREM: Guided Federated Learning in the Presence of Dynamic Device Unpredictability","publication_year":2024,"publication_date":"2024-05-06","ids":{"openalex":"https://openalex.org/W4396680602","doi":"https://doi.org/10.1109/tpds.2024.3396133"},"language":"en","primary_location":{"id":"doi:10.1109/tpds.2024.3396133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpds.2024.3396133","pdf_url":null,"source":{"id":"https://openalex.org/S97130795","display_name":"IEEE Transactions on Parallel and Distributed Systems","issn_l":"1045-9219","issn":["1045-9219","1558-2183","2161-9883"],"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 Parallel and Distributed Systems","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/A5102872724","display_name":"Linsi Lan","orcid":"https://orcid.org/0009-0004-9824-419X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Linsi Lan","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China","Guangdong Provincial Key Laboratory of Fire Science and Intelligent Emergency Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0004-9824-419X","affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Fire Science and Intelligent Emergency Technology, Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026553438","display_name":"Junbo Wang","orcid":"https://orcid.org/0000-0002-2748-8953"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junbo Wang","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China","Guangdong Provincial Key Laboratory of Fire Science and Intelligent Emergency Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2748-8953","affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Fire Science and Intelligent Emergency Technology, Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049072775","display_name":"Zhi Li","orcid":"https://orcid.org/0000-0003-2770-6364"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Li","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China","Guangdong Provincial Key Laboratory of Fire Science and Intelligent Emergency Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2646-9897","affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Fire Science and Intelligent Emergency Technology, Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008563545","display_name":"Krishna Kant","orcid":"https://orcid.org/0000-0001-5743-9944"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Krishna Kant","raw_affiliation_strings":["Temple University, Philadelphia, PA, USA"],"raw_orcid":"https://orcid.org/0000-0001-5743-9944","affiliations":[{"raw_affiliation_string":"Temple University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082668502","display_name":"Wanquan Liu","orcid":"https://orcid.org/0000-0003-4910-353X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanquan Liu","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China","Guangdong Provincial Key Laboratory of Fire Science and Intelligent Emergency Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4910-353X","affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Fire Science and Intelligent Emergency Technology, Guangzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102872724"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":1.3245,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.82794398,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"35","issue":"7","first_page":"1189","last_page":"1206"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9805999994277954,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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":0.8927459716796875},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.8527078628540039},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6970982551574707},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6834380626678467},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5331382751464844},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5194563269615173},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4915071427822113},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.483262836933136},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.46378859877586365},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4515596032142639},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3758814334869385},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37124526500701904},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.17935389280319214}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8927459716796875},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.8527078628540039},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6970982551574707},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6834380626678467},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5331382751464844},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5194563269615173},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4915071427822113},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.483262836933136},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.46378859877586365},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4515596032142639},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3758814334869385},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37124526500701904},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.17935389280319214},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tpds.2024.3396133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpds.2024.3396133","pdf_url":null,"source":{"id":"https://openalex.org/S97130795","display_name":"IEEE Transactions on Parallel and Distributed Systems","issn_l":"1045-9219","issn":["1045-9219","1558-2183","2161-9883"],"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 Parallel and Distributed Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2851562800","display_name":null,"funder_award_id":"62072485","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5096041344","display_name":null,"funder_award_id":"2022A1515011294","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W2009332171","https://openalex.org/W2096544401","https://openalex.org/W2625777111","https://openalex.org/W2798720628","https://openalex.org/W2903709398","https://openalex.org/W2921434559","https://openalex.org/W2921560693","https://openalex.org/W2978709794","https://openalex.org/W2986305485","https://openalex.org/W2990789643","https://openalex.org/W3011768388","https://openalex.org/W3013860853","https://openalex.org/W3045611708","https://openalex.org/W3047989515","https://openalex.org/W3080934299","https://openalex.org/W3091635927","https://openalex.org/W3093755649","https://openalex.org/W3101755493","https://openalex.org/W3104631511","https://openalex.org/W3105122387","https://openalex.org/W3106416029","https://openalex.org/W3107965923","https://openalex.org/W3116579057","https://openalex.org/W3118608800","https://openalex.org/W3125494587","https://openalex.org/W3126441351","https://openalex.org/W3129603732","https://openalex.org/W3168213397","https://openalex.org/W3186051974","https://openalex.org/W3187661226","https://openalex.org/W3189867955","https://openalex.org/W3207475467","https://openalex.org/W3208342030","https://openalex.org/W3213815372","https://openalex.org/W4210935571","https://openalex.org/W4282933047","https://openalex.org/W4323338449","https://openalex.org/W4382317695","https://openalex.org/W6679154944","https://openalex.org/W6684859321","https://openalex.org/W6728757088","https://openalex.org/W6738383168","https://openalex.org/W6759238902","https://openalex.org/W6760214840","https://openalex.org/W6770590064","https://openalex.org/W6781199479","https://openalex.org/W6781318954","https://openalex.org/W6786597537","https://openalex.org/W6787972765","https://openalex.org/W6789305514","https://openalex.org/W6790034021","https://openalex.org/W6791102956","https://openalex.org/W6791518594","https://openalex.org/W6796204086","https://openalex.org/W6803344470","https://openalex.org/W6803730191","https://openalex.org/W6807968628","https://openalex.org/W6945244495"],"related_works":["https://openalex.org/W4298221930","https://openalex.org/W2777914285","https://openalex.org/W4378677776","https://openalex.org/W3013363440","https://openalex.org/W4287823391","https://openalex.org/W4312762663","https://openalex.org/W4320017490","https://openalex.org/W4388282301","https://openalex.org/W4285322112","https://openalex.org/W4292794239"],"abstract_inverted_index":{"Federated":[0],"learning":[1,8,18,64],"(FL)":[2],"is":[3],"a":[4,16,31,66,92,112,131],"promising":[5],"distributed":[6],"machine":[7],"scheme":[9],"where":[10],"multiple":[11,45],"clients":[12,49,103,118,138],"collaborate":[13],"by":[14,41,106],"sharing":[15],"common":[17],"model":[19,144,154,170],"while":[20],"maintaining":[21],"their":[22,148],"private":[23],"data":[24,69,83,124,149],"locally.":[25],"It":[26],"can":[27,116,135],"be":[28],"applied":[29],"to":[30,81,141],"lot":[32],"of":[33,44,62,157,169],"applications,":[34],"e.g.,":[35],"training":[36,53,104,121],"an":[37],"automatic":[38],"driving":[39],"system":[40,54,65,74,175],"the":[42,52,58,63,72,76,87,128,142,153],"perception":[43],"vehicles.":[46],"However,":[47],"some":[48],"may":[50],"join":[51],"dynamically,":[55],"which":[56,101],"affects":[57],"stability":[59],"and":[60,99,122,151,174],"accuracy":[61],"lot.":[67],"Meanwhile,":[68],"heterogeneity":[70],"in":[71,167],"FL":[73,94],"exacerbates":[75],"above":[77,88],"problem":[78],"further":[79],"due":[80],"imbalanced":[82],"distribution.":[84],"To":[85],"solve":[86],"problems,":[89],"we":[90],"propose":[91],"novel":[93],"framework":[95],"named":[96],"FedREM":[97,163],"(Retain-Expansion":[98],"Matching),":[100],"guides":[102],"models":[105],"two":[107],"mechanisms.":[108],"They":[109],"are":[110],"1)":[111],"Retain-Expansion":[113],"mechanism":[114,133],"that":[115,134,161],"let":[117],"perform":[119],"local":[120],"extract":[123],"characteristics":[125,150],"automatically":[126],"during":[127],"training;":[129],"2)":[130],"Matching":[132],"ensure":[136],"new":[137],"quickly":[139],"adapt":[140],"global":[143],"based":[145],"on":[146],"matching":[147],"adjusting":[152],"accordingly.":[155],"Results":[156],"extensive":[158],"experiments":[159],"verify":[160],"our":[162],"outperforms":[164],"various":[165],"baselines":[166],"terms":[168],"accuracy,":[171],"communication":[172],"efficiency,":[173],"robustness.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
