{"id":"https://openalex.org/W4388915700","doi":"https://doi.org/10.1109/tencon58879.2023.10322318","title":"Assessing the Implications of Data Heterogeneity on Privacy-Enhanced Federated Learning: A Comprehensive Examination Using CIFAR-10","display_name":"Assessing the Implications of Data Heterogeneity on Privacy-Enhanced Federated Learning: A Comprehensive Examination Using CIFAR-10","publication_year":2023,"publication_date":"2023-10-31","ids":{"openalex":"https://openalex.org/W4388915700","doi":"https://doi.org/10.1109/tencon58879.2023.10322318"},"language":"en","primary_location":{"id":"doi:10.1109/tencon58879.2023.10322318","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon58879.2023.10322318","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2023 - 2023 IEEE Region 10 Conference (TENCON)","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/A5061109589","display_name":"Phoebe Joanne Go","orcid":null},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Phoebe Joanne Go","raw_affiliation_strings":["De La Salle University,Department of Electronics and Computer Engineering,City of Manila,Philippines","Department of Electronics and Computer Engineering, De La Salle University, City of Manila, Philippines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"De La Salle University,Department of Electronics and Computer Engineering,City of Manila,Philippines","institution_ids":["https://openalex.org/I5996616"]},{"raw_affiliation_string":"Department of Electronics and Computer Engineering, De La Salle University, City of Manila, Philippines","institution_ids":["https://openalex.org/I5996616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026732655","display_name":"Victor Calinao","orcid":null},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Victor Calinao","raw_affiliation_strings":["De La Salle University,Department of Electronics and Computer Engineering,City of Manila,Philippines","Department of Electronics and Computer Engineering, De La Salle University, City of Manila, Philippines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"De La Salle University,Department of Electronics and Computer Engineering,City of Manila,Philippines","institution_ids":["https://openalex.org/I5996616"]},{"raw_affiliation_string":"Department of Electronics and Computer Engineering, De La Salle University, City of Manila, Philippines","institution_ids":["https://openalex.org/I5996616"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030732440","display_name":"Melchizedek Alipio","orcid":"https://orcid.org/0000-0003-0483-0610"},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Melchizedek Alipio","raw_affiliation_strings":["De La Salle University,Department of Electronics and Computer Engineering,City of Manila,Philippines","Department of Electronics and Computer Engineering, De La Salle University, City of Manila, Philippines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"De La Salle University,Department of Electronics and Computer Engineering,City of Manila,Philippines","institution_ids":["https://openalex.org/I5996616"]},{"raw_affiliation_string":"Department of Electronics and Computer Engineering, De La Salle University, City of Manila, Philippines","institution_ids":["https://openalex.org/I5996616"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3263,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66449289,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"507","last_page":"512"},"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":0.9520999789237976,"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/T10237","display_name":"Cryptography and Data Security","score":0.9298999905586243,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7931174039840698},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6849231719970703},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6553778052330017},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.6395425796508789},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.617591917514801},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.5058057308197021},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.44129183888435364},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09408429265022278}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7931174039840698},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6849231719970703},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6553778052330017},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.6395425796508789},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.617591917514801},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.5058057308197021},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.44129183888435364},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09408429265022278},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon58879.2023.10322318","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon58879.2023.10322318","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2023 - 2023 IEEE Region 10 Conference (TENCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2243561575","https://openalex.org/W2807006176","https://openalex.org/W2902287545","https://openalex.org/W2904190483","https://openalex.org/W2912213068","https://openalex.org/W2949734902","https://openalex.org/W2955213239","https://openalex.org/W2989289980","https://openalex.org/W3006017224","https://openalex.org/W3006403513","https://openalex.org/W3006555759","https://openalex.org/W3007345209","https://openalex.org/W3017949972","https://openalex.org/W3038022836","https://openalex.org/W3038028469","https://openalex.org/W3040685212","https://openalex.org/W3209818426","https://openalex.org/W4283332641","https://openalex.org/W4289147229","https://openalex.org/W4300427714","https://openalex.org/W4308774387","https://openalex.org/W4316661314","https://openalex.org/W4318619660","https://openalex.org/W4383337653","https://openalex.org/W6759238902"],"related_works":["https://openalex.org/W4298221930","https://openalex.org/W2777914285","https://openalex.org/W4287823391","https://openalex.org/W3013363440","https://openalex.org/W4312762663","https://openalex.org/W4317941881","https://openalex.org/W3035927627","https://openalex.org/W3128909129","https://openalex.org/W4308527955","https://openalex.org/W4366829214"],"abstract_inverted_index":{"In":[0],"the":[1,15,37,47,61,78,111,142],"context":[2],"of":[3,17,39,49,55,144],"an":[4,86,99],"increasingly":[5],"digital":[6],"society":[7],"with":[8],"pressing":[9],"privacy":[10],"concerns,":[11],"our":[12,96],"research":[13],"investigates":[14],"effectiveness":[16],"privacy-preserving":[18,88,192],"artificial":[19,193],"intelligence":[20,194],"solutions":[21],"like":[22],"Federated":[23,32,58,106],"Learning.":[24],"This":[25,168],"study":[26,169],"focuses":[27],"on":[28,42,77],"three":[29],"main":[30],"areas:":[31],"and":[33,46,105,119,135,139,152,163,180,185],"Centralized":[34,70],"Learning":[35,71,107],"applications,":[36],"influence":[38],"data":[40,44,103,131,149,175],"heterogeneity":[41,104,132],"client":[43],"accuracy,":[45,109],"evaluation":[48],"contemporary":[50],"federated":[51,126,182],"algorithms":[52,128],"in":[53,147,187],"scenarios":[54],"extreme":[56],"heterogeneity.":[57,150],"Learning,":[59],"using":[60],"FedAvg":[62,138],"algorithm,":[63],"demonstrated":[64],"superior":[65],"testing":[66],"accuracy":[67],"(88.54%)":[68],"over":[69],"(87.98":[72],"<sup":[73],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[74],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">%</sup>":[75],")":[76],"non-heterogeneous":[79],"CIFAR-l0":[80],"dataset,":[81],"indicating":[82],"its":[83],"potential":[84],"as":[85],"efficient,":[87],"solution":[89],"for":[90,113],"various":[91],"machine":[92],"learning":[93,127],"applications.":[94],"Additionally,":[95],"findings":[97],"highlight":[98],"inverse":[100],"relationship":[101],"between":[102],"model":[108,121],"underscoring":[110],"need":[112],"strategies":[114],"to":[115,159],"mitigate":[116],"this":[117],"challenge":[118],"boost":[120],"performance.":[122],"Upon":[123],"evaluating":[124],"several":[125],"under":[129],"high":[130],"(alpha=1.0),":[133],"SCAFFOLD":[134,151],"FedOpt":[136,153],"outperformed":[137],"FedProx,":[140],"demonstrating":[141],"significance":[143],"algorithm":[145],"design":[146],"addressing":[148,174],"showcased":[154],"greater":[155],"communication":[156,166,178],"efficiency,":[157,179],"attributed":[158],"their":[160],"faster":[161],"convergence":[162],"fewer":[164],"required":[165],"rounds.":[167],"offers":[170],"invaluable":[171],"insights":[172],"into":[173],"heterogeneity,":[176],"improving":[177],"enhancing":[181],"learning's":[183],"performance":[184],"applicability":[186],"real-world":[188],"scenarios,":[189],"thereby":[190],"furthering":[191],"research.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}