{"id":"https://openalex.org/W4407937088","doi":"https://doi.org/10.1109/tai.2025.3545393","title":"Performance Analysis and Design of a Weighted Personalized Quantum Federated Learning","display_name":"Performance Analysis and Design of a Weighted Personalized Quantum Federated Learning","publication_year":2025,"publication_date":"2025-02-25","ids":{"openalex":"https://openalex.org/W4407937088","doi":"https://doi.org/10.1109/tai.2025.3545393"},"language":"en","primary_location":{"id":"doi:10.1109/tai.2025.3545393","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2025.3545393","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"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 Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/Performance_Analysis_and_Design_of_a_Weighted_Personalized_Quantum_Federated_Learning/28585880","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049354375","display_name":"Dev Gurung","orcid":"https://orcid.org/0000-0001-7772-8049"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Dev Gurung","raw_affiliation_strings":["Deakin University, Burwood, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0001-7772-8049","affiliations":[{"raw_affiliation_string":"Deakin University, Burwood, VIC, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038446422","display_name":"Shiva Raj Pokhrel","orcid":"https://orcid.org/0000-0001-5819-765X"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Shiva Raj Pokhrel","raw_affiliation_strings":["Deakin University, Burwood, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0001-5819-765X","affiliations":[{"raw_affiliation_string":"Deakin University, Burwood, VIC, Australia","institution_ids":["https://openalex.org/I149704539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149704539"],"apc_list":null,"apc_paid":null,"fwci":7.8254,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.9672724,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"6","issue":"8","first_page":"2302","last_page":"2313"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9998999834060669,"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/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9998999834060669,"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/T10020","display_name":"Quantum Information and Cryptography","score":0.995199978351593,"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":0.9932000041007996,"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":0.577666163444519},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.5283442735671997},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.4136901795864105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22314074635505676},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08098658919334412}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.577666163444519},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.5283442735671997},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.4136901795864105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22314074635505676},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08098658919334412},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tai.2025.3545393","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2025.3545393","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"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 Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:figshare.com:article/28585880","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Performance_Analysis_and_Design_of_a_Weighted_Personalized_Quantum_Federated_Learning/28585880","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/28585880","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Performance_Analysis_and_Design_of_a_Weighted_Personalized_Quantum_Federated_Learning/28585880","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2559394418","https://openalex.org/W3156286751","https://openalex.org/W3167962691","https://openalex.org/W3169143252","https://openalex.org/W3193066552","https://openalex.org/W3196335237","https://openalex.org/W4225729124","https://openalex.org/W4225926344","https://openalex.org/W4286750744","https://openalex.org/W4318619660","https://openalex.org/W4318719386","https://openalex.org/W4392100052","https://openalex.org/W4400236734","https://openalex.org/W4400237392","https://openalex.org/W4410115271","https://openalex.org/W6728757088","https://openalex.org/W6772307254","https://openalex.org/W6840794153","https://openalex.org/W6842472822","https://openalex.org/W6848993857"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4298221930","https://openalex.org/W2390279801","https://openalex.org/W2777914285","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W3176937389","https://openalex.org/W4408069290"],"abstract_inverted_index":{"Advances":[0],"in":[1,12,30],"federated":[2,16,24,45],"and":[3,10,51,86],"quantum":[4,44],"computing":[5],"have":[6],"improved":[7],"data":[8,50,81],"privacy":[9],"efficiency":[11],"distributed":[13],"systems.":[14],"Quantum":[15],"learning":[17,25],"(QFL),":[18],"like":[19],"its":[20,62],"classical":[21],"counterpart,":[22],"classic":[23],"(CFL),":[26],"struggles":[27],"with":[28,43,83],"challenges":[29],"heterogeneous":[31],"environments.":[32],"To":[33],"address":[34],"these,":[35],"we":[36],"propose":[37],"<i>wp-QFL</i>,":[38],"a":[39],"weighted":[40,84],"personalized":[41],"approach":[42],"averaging":[46],"(qFedAvg),":[47],"tackling":[48],"non-IID":[49],"local":[52],"model":[53],"drift.":[54],"While":[55],"CFL":[56],"personalization":[57,85],"has":[58],"been":[59],"well":[60],"explored,":[61],"application":[63],"to":[64,69,80],"QFL":[65],"remains":[66],"underdeveloped":[67],"due":[68],"inherent":[70],"differences.":[71],"The":[72,89],"proposed":[73],"<i>wp-QFL</i>":[74],"fills":[75],"this":[76],"gap":[77],"by":[78],"adapting":[79],"heterogeneity":[82],"drift":[87],"correction.":[88],"code":[90],"implementation":[91],"is":[92],"available":[93],"at":[94],"<uri>https://github.com/s222416822/wpQFL</uri>.":[95]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}