{"id":"https://openalex.org/W7136238639","doi":"https://doi.org/10.1145/3787330.3787341","title":"PC-FedAvg: Personalized Federated Learning for One-Class SVMs in Smart City Monitoring Systems","display_name":"PC-FedAvg: Personalized Federated Learning for One-Class SVMs in Smart City Monitoring Systems","publication_year":2025,"publication_date":"2025-12-05","ids":{"openalex":"https://openalex.org/W7136238639","doi":"https://doi.org/10.1145/3787330.3787341"},"language":null,"primary_location":{"id":"doi:10.1145/3787330.3787341","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3787330.3787341","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Information Technology: IoT and Smart City","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3787330.3787341","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005831779","display_name":"Ali Anaissi","orcid":"https://orcid.org/0000-0002-8864-0314"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ali Anaissi","raw_affiliation_strings":["Universirty of Technology Sydney, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0002-8864-0314","affiliations":[{"raw_affiliation_string":"Universirty of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129423288","display_name":"Weidong Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Weidong Huang","raw_affiliation_strings":["Universirty of Technology Sydney, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0001-9291-5002","affiliations":[{"raw_affiliation_string":"Universirty of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124094654","display_name":"Jie Hua","orcid":null},"institutions":[{"id":"https://openalex.org/I206324368","display_name":"Shaoyang University","ror":"https://ror.org/03fx09x73","country_code":"CN","type":"education","lineage":["https://openalex.org/I206324368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Hua","raw_affiliation_strings":["Shaoyang University, Shaoyang, China"],"raw_orcid":"https://orcid.org/0000-0002-3409-2076","affiliations":[{"raw_affiliation_string":"Shaoyang University, Shaoyang, China","institution_ids":["https://openalex.org/I206324368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042970077","display_name":"Junaid Akram","orcid":"https://orcid.org/0000-0003-3719-338X"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Junaid Akram","raw_affiliation_strings":["Universirty of Technology Sydney, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0003-3719-338X","affiliations":[{"raw_affiliation_string":"Universirty of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022818942","display_name":"Basem Suleiman","orcid":"https://orcid.org/0000-0003-2674-0253"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Basem Suleiman","raw_affiliation_strings":["UNSW, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0003-2674-0253","affiliations":[{"raw_affiliation_string":"UNSW, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4786,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.88367455,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"64","last_page":"69"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.4440999925136566,"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":0.4440999925136566,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.19280000030994415,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11479","display_name":"Smart Cities and Technologies","score":0.08160000294446945,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.8428999781608582},{"id":"https://openalex.org/keywords/smart-city","display_name":"Smart city","score":0.5196999907493591},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.49729999899864197},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.47780001163482666},{"id":"https://openalex.org/keywords/independent-and-identically-distributed-random-variables","display_name":"Independent and identically distributed random variables","score":0.4138000011444092},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.39809998869895935}],"concepts":[{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.8428999781608582},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7221999764442444},{"id":"https://openalex.org/C2777103469","wikidata":"https://www.wikidata.org/wiki/Q1231558","display_name":"Smart city","level":3,"score":0.5196999907493591},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.49729999899864197},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.47780001163482666},{"id":"https://openalex.org/C141513077","wikidata":"https://www.wikidata.org/wiki/Q378542","display_name":"Independent and identically distributed random variables","level":3,"score":0.4138000011444092},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.39809998869895935},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.38920000195503235},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3880999982357025},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38040000200271606},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3714999854564667},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.3433000147342682},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3312000036239624},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.27489998936653137},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2685999870300293},{"id":"https://openalex.org/C3020493868","wikidata":"https://www.wikidata.org/wiki/Q55631277","display_name":"Real world data","level":2,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3787330.3787341","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3787330.3787341","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Information Technology: IoT and Smart City","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3787330.3787341","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3787330.3787341","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Information Technology: IoT and Smart City","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1970088130","https://openalex.org/W2122646361","https://openalex.org/W2132870739","https://openalex.org/W2605444120","https://openalex.org/W2765994138","https://openalex.org/W2781761393","https://openalex.org/W2901168797","https://openalex.org/W4392694047","https://openalex.org/W4394595765"],"related_works":[],"abstract_inverted_index":{"Federated":[0],"Learning":[1],"(FL)":[2],"has":[3],"recently":[4],"emerged":[5],"as":[6],"a":[7,49],"promising":[8],"paradigm":[9],"that":[10],"enables":[11],"distributed":[12],"model":[13],"training":[14],"while":[15],"addressing":[16],"data":[17,62],"privacy":[18],"and":[19,55,58],"transmission":[20],"challenges":[21],"in":[22],"centralized":[23,50],"machine":[24],"learning.":[25],"In":[26],"FL,":[27],"datasets":[28],"collected":[29],"from":[30],"multiple":[31],"devices":[32],"or":[33],"sensors":[34],"are":[35],"used":[36],"to":[37],"train":[38],"local":[39,61],"models":[40],"(clients),":[41],"which":[42],"periodically":[43],"share":[44],"their":[45],"learned":[46],"parameters":[47],"with":[48],"server.":[51],"However,":[52],"non-IID":[53],"(Independent":[54],"Identically":[56],"Distributed)":[57],"statistically":[59],"diverse":[60],"can":[63],"significantly":[64],"degrade":[65],"the":[66],"global":[67],"model\u2019s":[68],"accuracy.":[69]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2026-03-17T00:00:00"}