{"id":"https://openalex.org/W7123537962","doi":"https://doi.org/10.1109/iscc65549.2025.11325972","title":"OPALA: Optimized Pruning Adaptive Learning Approach for Federated Learning Scenarios","display_name":"OPALA: Optimized Pruning Adaptive Learning Approach for Federated Learning Scenarios","publication_year":2025,"publication_date":"2025-07-02","ids":{"openalex":"https://openalex.org/W7123537962","doi":"https://doi.org/10.1109/iscc65549.2025.11325972"},"language":null,"primary_location":{"id":"doi:10.1109/iscc65549.2025.11325972","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc65549.2025.11325972","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Symposium on Computers and Communications (ISCC)","raw_type":"proceedings-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/A5122925681","display_name":"R. Veiga","orcid":null},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"R. Veiga","raw_affiliation_strings":["Federal University of Par&#x00B4;a,Dept. of Computer Science,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Par&#x00B4;a,Dept. of Computer Science,Brazil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122949935","display_name":"R. Morais","orcid":null},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"R. Morais","raw_affiliation_strings":["State University of Campinas (UNICAMP),Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State University of Campinas (UNICAMP),Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122949772","display_name":"R. Bustincio","orcid":null},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"R. Bustincio","raw_affiliation_strings":["Federal University of Par&#x00B4;a,Dept. of Computer Science,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Par&#x00B4;a,Dept. of Computer Science,Brazil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122969919","display_name":"L. Bastos","orcid":null},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"L. Bastos","raw_affiliation_strings":["Federal University of Par&#x00B4;a,Dept. of Computer Science,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Par&#x00B4;a,Dept. of Computer Science,Brazil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122963278","display_name":"D. Ros\u00e1rio","orcid":null},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"D. Ros\u00e1rio","raw_affiliation_strings":["Federal University of Par&#x00B4;a,Dept. of Computer Science,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Par&#x00B4;a,Dept. of Computer Science,Brazil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122960717","display_name":"S. Sargento","orcid":null},"institutions":[{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"S. Sargento","raw_affiliation_strings":["Instituto de Telecomunicac&#x00B8; &#x02DC;oes, University of Aveiro,Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto de Telecomunicac&#x00B8; &#x02DC;oes, University of Aveiro,Portugal","institution_ids":["https://openalex.org/I4210120471"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5122975656","display_name":"E. Cerqueira","orcid":null},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"E. Cerqueira","raw_affiliation_strings":["Federal University of Par&#x00B4;a,Dept. of Computer Science,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Par&#x00B4;a,Dept. of Computer Science,Brazil","institution_ids":["https://openalex.org/I25112270"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.79337926,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9521999955177307,"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":0.9521999955177307,"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.00430000014603138,"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/T14347","display_name":"Big Data and Digital Economy","score":0.004000000189989805,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/scalability","display_name":"Scalability","score":0.7620000243186951},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.758400022983551},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.7103999853134155},{"id":"https://openalex.org/keywords/data-transmission","display_name":"Data transmission","score":0.4083999991416931},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.39010000228881836},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.3529999852180481},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.34290000796318054},{"id":"https://openalex.org/keywords/distributed-learning","display_name":"Distributed learning","score":0.33739998936653137}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8500999808311462},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7620000243186951},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.758400022983551},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.7103999853134155},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5152999758720398},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49720001220703125},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4489000141620636},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.4083999991416931},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.39010000228881836},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.3529999852180481},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.34290000796318054},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.33739998936653137},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.33709999918937683},{"id":"https://openalex.org/C125014702","wikidata":"https://www.wikidata.org/wiki/Q4680749","display_name":"Adaptive learning","level":2,"score":0.33320000767707825},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32670000195503235},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.2955000102519989},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.2921000123023987},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.28610000014305115},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.28209999203681946},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2791000008583069},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2773999869823456},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.25200000405311584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscc65549.2025.11325972","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc65549.2025.11325972","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Symposium on Computers and Communications (ISCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310000","display_name":"Universidade de Aveiro","ror":"https://ror.org/00nt41z93"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2963145730","https://openalex.org/W2977090839","https://openalex.org/W2995022099","https://openalex.org/W3133504636","https://openalex.org/W3182158470","https://openalex.org/W4206132996","https://openalex.org/W4308360268","https://openalex.org/W4382463479","https://openalex.org/W4387105517","https://openalex.org/W4391020638","https://openalex.org/W4392153400","https://openalex.org/W4392301405","https://openalex.org/W4392449617","https://openalex.org/W4396909998","https://openalex.org/W4401508611","https://openalex.org/W4401717545","https://openalex.org/W4402834117","https://openalex.org/W4403937804"],"related_works":[],"abstract_inverted_index":{"Federated":[0,48],"learning":[1,42],"(FL)":[2],"enables":[3],"decentralized":[4],"model":[5,62,125],"training,":[6],"allowing":[7],"data":[8,71,115,144],"privacy":[9],"by":[10,117],"processing":[11,80],"locally":[12],"on":[13,65,89],"client":[14,147],"devices.":[15],"However,":[16],"challenges":[17],"such":[18],"as":[19],"high":[20],"communication":[21],"costs,":[22],"especially":[23],"in":[24,140],"heterogeneous":[25,146],"environments,":[26],"hinder":[27],"the":[28,66,79,90,124],"efficient":[29],"scaling":[30],"of":[31,82,93],"FL":[32,139],"systems.":[33],"This":[34,130],"paper":[35],"introduces":[36],"OPALA,":[37],"an":[38],"adaptive":[39,59],"pruning":[40,57],"optimal":[41],"approach":[43,131],"designed":[44],"to":[45,84,102,119],"improve":[46],"personalized":[47],"Learning":[49],"(pFL)":[50],"efficiency":[51,99],"and":[52,70,100,114,145],"accuracy.":[53],"OPALA":[54,76,109],"combines":[55],"dynamic":[56],"with":[58,142],"aggregation,":[60],"adjusting":[61],"complexity":[63],"based":[64,88],"client\u2019s":[67],"computational":[68,91],"capabilities":[69,92],"characteristics.":[72],"In":[73],"this":[74],"sense,":[75],"significantly":[77,110],"reduces":[78],"time":[81,113],"clients":[83],"train":[85],"their":[86],"models":[87],"each":[94],"client,":[95],"providing":[96],"higher":[97],"system":[98],"responsiveness":[101],"real-time":[103],"applications.":[104],"The":[105],"results":[106],"show":[107],"that":[108],"improves":[111],"training":[112],"transmission":[116],"up":[118],"$53":[120],"\\%$":[121],"without":[122],"sacrificing":[123],"accuracy,":[126],"outperforming":[127],"traditional":[128],"methods.":[129],"offers":[132],"a":[133],"promising":[134],"solution":[135],"for":[136],"efficient,":[137],"scalable":[138],"environments":[141],"non-IID":[143],"resources.":[148]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-01-14T00:00:00"}
