{"id":"https://openalex.org/W4294361661","doi":"https://doi.org/10.1142/s0218001422520243","title":"Performance Analysis of Federated Learning Aggregation Algorithms for Secure and Efficient Data Handling","display_name":"Performance Analysis of Federated Learning Aggregation Algorithms for Secure and Efficient Data Handling","publication_year":2022,"publication_date":"2022-09-03","ids":{"openalex":"https://openalex.org/W4294361661","doi":"https://doi.org/10.1142/s0218001422520243"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001422520243","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001422520243","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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/A5039533999","display_name":"Vaibhav Agarwal","orcid":"https://orcid.org/0000-0002-0657-2857"},"institutions":[{"id":"https://openalex.org/I164861460","display_name":"Manipal Academy of Higher Education","ror":"https://ror.org/02xzytt36","country_code":"IN","type":"education","lineage":["https://openalex.org/I164861460"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Vaibhav Agarwal","raw_affiliation_strings":["Department of Information and Communication Technology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Technology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India","institution_ids":["https://openalex.org/I164861460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045416276","display_name":"Girija Attigeri","orcid":"https://orcid.org/0000-0002-0899-5781"},"institutions":[{"id":"https://openalex.org/I164861460","display_name":"Manipal Academy of Higher Education","ror":"https://ror.org/02xzytt36","country_code":"IN","type":"education","lineage":["https://openalex.org/I164861460"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Girija Attigeri","raw_affiliation_strings":["Department of Information and Communication Technology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Technology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India","institution_ids":["https://openalex.org/I164861460"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059908108","display_name":"Sucheta V. Kolekar","orcid":"https://orcid.org/0000-0003-2642-6088"},"institutions":[{"id":"https://openalex.org/I164861460","display_name":"Manipal Academy of Higher Education","ror":"https://ror.org/02xzytt36","country_code":"IN","type":"education","lineage":["https://openalex.org/I164861460"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sucheta V. Kolekar","raw_affiliation_strings":["Department of Information and Communication Technology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Technology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India","institution_ids":["https://openalex.org/I164861460"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5039533999"],"corresponding_institution_ids":["https://openalex.org/I164861460"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08880656,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"36","issue":"14","first_page":null,"last_page":null},"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/T10237","display_name":"Cryptography and Data Security","score":0.9919999837875366,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9724000096321106,"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":0.8746687173843384},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.601957380771637},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6012744307518005},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5720570683479309},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5442630648612976},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5305578708648682},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4983692169189453},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.477500855922699},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.44310522079467773},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.417908638715744},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36157411336898804}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8746687173843384},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.601957380771637},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6012744307518005},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5720570683479309},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5442630648612976},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5305578708648682},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4983692169189453},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.477500855922699},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.44310522079467773},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.417908638715744},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36157411336898804},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001422520243","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001422520243","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W3008821091","https://openalex.org/W3008890070","https://openalex.org/W3046653923","https://openalex.org/W3107794213","https://openalex.org/W3181368639","https://openalex.org/W4236362309"],"related_works":["https://openalex.org/W3080832531","https://openalex.org/W3132346564","https://openalex.org/W2991483587","https://openalex.org/W4214626077","https://openalex.org/W2786391746","https://openalex.org/W2914559142","https://openalex.org/W4226059458","https://openalex.org/W4381430104","https://openalex.org/W2995102745","https://openalex.org/W4225292444"],"abstract_inverted_index":{"Traditional":[0],"machine":[1],"learning":[2,73,183],"projects":[3],"have":[4],"revolved":[5],"around":[6],"training":[7,38,56],"the":[8,11,28,32,40,57,80,84,88,92,109,112,115,124,131,138,144,175,181,187,192],"model":[9,41,50,78,133],"with":[10,47],"help":[12],"of":[13,39,91,103,111,114,123,130,172],"previously":[14],"observed":[15,165],"data":[16,33,61,65],"to":[17,20,52,128,136,156,185,203],"be":[18,53,137],"able":[19],"predict":[21],"output":[22],"for":[23,55,79],"future":[24],"unknown":[25],"data.":[26],"In":[27],"current":[29],"scenario,":[30],"when":[31],"generated":[34],"are":[35],"huge,":[36],"centralized":[37,145,193],"becomes":[42],"inefficient.":[43],"Hence,":[44],"distributed":[45],"approach":[46,120,202],"client":[48,93],"server":[49,81,178],"has":[51],"used":[54],"models.":[58,117],"This":[59,68,195],"introduces":[60],"handling":[62],"and":[63,101,141,158,177,200,206],"critical":[64],"privacy":[66],"issues.":[67],"paper":[69],"concentrates":[70],"on":[71,99,160],"Federated":[72],"(FL)":[74],"which":[75],"builds":[76],"a":[77,197],"by":[82,191],"aggregating":[83],"parameters":[85],"obtained":[86],"from":[87],"local":[89,116,125,132],"models":[90,126],"devices.":[94],"The":[95,118,147],"research":[96],"work":[97],"focuses":[98],"design":[100],"evaluation":[102,148],"three":[104,152],"new":[105],"FL":[106],"algorithms":[107,154],"against":[108],"average":[110],"performances":[113],"evolved":[119],"considering":[121],"weights":[122],"proportional":[127],"accuracy":[129,189],"is":[134,149,164,168,196],"found":[135],"most":[139],"accurate":[140],"better":[142],"than":[143],"approach.":[146],"done":[150],"using":[151],"different":[153],"belonging":[155],"regression":[157],"classification":[159],"multiple":[161],"datasets.":[162],"It":[163],"that":[166],"there":[167],"only":[169],"one":[170],"round":[171],"communication":[173,205],"between":[174],"clients":[176],"required":[179],"in":[180],"federated":[182],"setup":[184],"achieve":[186],"benchmarked":[188],"set":[190],"setup.":[194],"considerable":[198],"development":[199],"state-of-the-art":[201],"reduce":[204],"computation":[207],"costs.":[208]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}