{"id":"https://openalex.org/W7124135865","doi":"https://doi.org/10.1109/codit66093.2025.11321513","title":"Federated Multiple Dataset Learning Using Levenberg Marquardt Algorithm","display_name":"Federated Multiple Dataset Learning Using Levenberg Marquardt Algorithm","publication_year":2025,"publication_date":"2025-07-15","ids":{"openalex":"https://openalex.org/W7124135865","doi":"https://doi.org/10.1109/codit66093.2025.11321513"},"language":null,"primary_location":{"id":"doi:10.1109/codit66093.2025.11321513","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit66093.2025.11321513","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 11th International Conference on Control, Decision and Information Technologies (CoDIT)","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/A5122997515","display_name":"Sedat Akbal","orcid":null},"institutions":[{"id":"https://openalex.org/I66514158","display_name":"Hacettepe University","ror":"https://ror.org/04kwvgz42","country_code":"TR","type":"education","lineage":["https://openalex.org/I66514158"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Sedat Akbal","raw_affiliation_strings":["Hacettepe University,Dept. of Computer Engineering,Ankara,Turkey"],"affiliations":[{"raw_affiliation_string":"Hacettepe University,Dept. of Computer Engineering,Ankara,Turkey","institution_ids":["https://openalex.org/I66514158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5122871040","display_name":"Mehmet \u00d6nder Efe","orcid":null},"institutions":[{"id":"https://openalex.org/I66514158","display_name":"Hacettepe University","ror":"https://ror.org/04kwvgz42","country_code":"TR","type":"education","lineage":["https://openalex.org/I66514158"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Mehmet \u00d6nder Efe","raw_affiliation_strings":["Hacettepe University,Dept. of Computer Engineering,Ankara,Turkey"],"affiliations":[{"raw_affiliation_string":"Hacettepe University,Dept. of Computer Engineering,Ankara,Turkey","institution_ids":["https://openalex.org/I66514158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5122997515"],"corresponding_institution_ids":["https://openalex.org/I66514158"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.86044436,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"683","last_page":"688"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.5414999723434448,"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/T12676","display_name":"Machine Learning and ELM","score":0.5414999723434448,"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/T10320","display_name":"Neural Networks and Applications","score":0.15299999713897705,"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/T14413","display_name":"Advanced Technologies in Various Fields","score":0.04100000113248825,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.6866999864578247},{"id":"https://openalex.org/keywords/jacobian-matrix-and-determinant","display_name":"Jacobian matrix and determinant","score":0.6599000096321106},{"id":"https://openalex.org/keywords/levenberg\u2013marquardt-algorithm","display_name":"Levenberg\u2013Marquardt algorithm","score":0.6480000019073486},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5916000008583069},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5659999847412109},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.5594000220298767}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7480000257492065},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6866999864578247},{"id":"https://openalex.org/C200331156","wikidata":"https://www.wikidata.org/wiki/Q506041","display_name":"Jacobian matrix and determinant","level":2,"score":0.6599000096321106},{"id":"https://openalex.org/C87578567","wikidata":"https://www.wikidata.org/wiki/Q1426494","display_name":"Levenberg\u2013Marquardt algorithm","level":3,"score":0.6480000019073486},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5916000008583069},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.579200029373169},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5659999847412109},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.5594000220298767},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45410001277923584},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4498000144958496},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44119998812675476},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.30390000343322754},{"id":"https://openalex.org/C125014702","wikidata":"https://www.wikidata.org/wiki/Q4680749","display_name":"Adaptive learning","level":2,"score":0.29739999771118164},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.2906000018119812},{"id":"https://openalex.org/C177973122","wikidata":"https://www.wikidata.org/wiki/Q7860946","display_name":"Types of artificial neural networks","level":4,"score":0.26660001277923584},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25949999690055847}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/codit66093.2025.11321513","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit66093.2025.11321513","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 11th International Conference on Control, Decision and Information Technologies (CoDIT)","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":15,"referenced_works":["https://openalex.org/W2133764509","https://openalex.org/W2152868637","https://openalex.org/W2155482699","https://openalex.org/W2613948549","https://openalex.org/W2802280221","https://openalex.org/W2834072840","https://openalex.org/W2912213068","https://openalex.org/W2962966271","https://openalex.org/W2963072899","https://openalex.org/W2995022099","https://openalex.org/W3209696639","https://openalex.org/W4323928528","https://openalex.org/W4389076332","https://openalex.org/W4392642336","https://openalex.org/W4399200081"],"related_works":[],"abstract_inverted_index":{"Neural":[0],"networks":[1],"have":[2],"emerged":[3],"as":[4,85],"a":[5,104,144,176],"pivotal":[6],"machine":[7],"learning":[8,51],"paradigm":[9],"within":[10],"contemporary":[11],"artificial":[12],"intelligence":[13],"research,":[14],"particularly":[15],"for":[16,116,185],"their":[17],"adeptness":[18],"at":[19],"modeling":[20],"complex":[21],"input-output":[22],"relationships.":[23],"This":[24,162],"paper":[25],"addresses":[26],"the":[27,36,43,54,71,96,119,140,152,167,183],"training":[28,129,172],"of":[29,56,73,98,124,159,169],"shallow":[30],"neural":[31,170,189],"networks,":[32],"focusing":[33],"on":[34],"optimizing":[35],"widely":[37],"used":[38],"Levenberg-Marquardt":[39,108],"(LM)":[40],"algorithm.":[41,110],"While":[42],"LM":[44],"algorithm":[45,142],"facilitates":[46],"faster":[47],"convergence":[48],"through":[49],"adaptive":[50],"rates":[52],"and":[53,66,78,88,91,157],"use":[55],"Jacobian":[57,74,99],"matrices,":[58,100],"it":[59],"also":[60,174],"presents":[61],"challenges":[62],"in":[63,188],"computational":[64,89],"complexity":[65,90],"memory":[67,92],"usage":[68,93],"due":[69,94],"to":[70,95,179],"growth":[72,97],"matrices":[75],"with":[76],"network":[77,125,171],"dataset":[79],"dimensions.":[80],"To":[81],"mitigate":[82],"issues":[83],"such":[84],"catastrophic":[86,180],"forgetting":[87],"this":[101],"study":[102],"proposes":[103],"Federated":[105],"Multiple":[106],"Dataset":[107],"(fmLM)":[109],"By":[111],"employing":[112],"distinct":[113],"mask":[114],"vectors":[115],"each":[117],"dataset,":[118],"fmLM":[120,141],"enables":[121],"selective":[122],"activation":[123],"weights,":[126],"allowing":[127],"simultaneous":[128],"across":[130],"multiple":[131],"datasets":[132],"while":[133],"maintaining":[134],"performance.":[135],"Experimental":[136],"results":[137],"demonstrate":[138],"that":[139],"achieves":[143],"promising":[145],"error":[146],"levels":[147],"after":[148],"training,":[149],"effectively":[150],"managing":[151],"balance":[153],"between":[154],"weight":[155],"sharing":[156],"retention":[158],"prior":[160],"learning.":[161],"approach":[163],"not":[164],"only":[165],"enhances":[166],"efficiency":[168],"but":[173],"contributes":[175],"novel":[177],"solution":[178],"forgetting,":[181],"underscoring":[182],"potential":[184],"improved":[186],"generalization":[187],"networks.":[190]},"counts_by_year":[],"updated_date":"2026-01-16T23:16:36.188383","created_date":"2026-01-15T00:00:00"}
