{"id":"https://openalex.org/W4299680235","doi":"https://doi.org/10.1109/csr54599.2022.9850301","title":"Enhancing the Aggregation of the Federated Learning for the Industrial Cyber Physical Systems","display_name":"Enhancing the Aggregation of the Federated Learning for the Industrial Cyber Physical Systems","publication_year":2022,"publication_date":"2022-07-27","ids":{"openalex":"https://openalex.org/W4299680235","doi":"https://doi.org/10.1109/csr54599.2022.9850301"},"language":"en","primary_location":{"id":"doi:10.1109/csr54599.2022.9850301","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csr54599.2022.9850301","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Cyber Security and Resilience (CSR)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-04086929v1/file/IEEE_CSR-2-7.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090846522","display_name":"Souhila Badra Guendouzi","orcid":"https://orcid.org/0000-0001-8117-902X"},"institutions":[{"id":"https://openalex.org/I4210149016","display_name":"\u00c9cole Nationale Sup\u00e9rieure d'Informatique","ror":"https://ror.org/04dj1dn66","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210149016"]}],"countries":["DZ"],"is_corresponding":true,"raw_author_name":"Souhila Badra Guendouzi","raw_affiliation_strings":["&#x00C9;cole Sup&#x00E9;rieure En Informatique,LabRi-SBA Laboratory,Sidi Bel-Abbes,Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"&#x00C9;cole Sup&#x00E9;rieure En Informatique,LabRi-SBA Laboratory,Sidi Bel-Abbes,Algeria","institution_ids":["https://openalex.org/I4210149016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045704925","display_name":"Samir Ouchani","orcid":"https://orcid.org/0000-0002-7997-8225"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Samir Ouchani","raw_affiliation_strings":["LINEACT CESI,Aix-En-Provence,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LINEACT CESI,Aix-En-Provence,France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069059137","display_name":"Mimoun Malki","orcid":"https://orcid.org/0000-0003-4466-2316"},"institutions":[{"id":"https://openalex.org/I4210149016","display_name":"\u00c9cole Nationale Sup\u00e9rieure d'Informatique","ror":"https://ror.org/04dj1dn66","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210149016"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Mimoune Malki","raw_affiliation_strings":["Ecole Sup&#x00E9;rieure En Informatique,LabRi-SBA Laboratory,Sidi Bel-Abbes,Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ecole Sup&#x00E9;rieure En Informatique,LabRi-SBA Laboratory,Sidi Bel-Abbes,Algeria","institution_ids":["https://openalex.org/I4210149016"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5090846522"],"corresponding_institution_ids":["https://openalex.org/I4210149016"],"apc_list":null,"apc_paid":null,"fwci":0.6943,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.75512664,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"197","last_page":"202"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9993000030517578,"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":0.9993000030517578,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10917","display_name":"Smart Grid Security and Resilience","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/mnist-database","display_name":"MNIST database","score":0.8427987098693848},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.8243854641914368},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7564262747764587},{"id":"https://openalex.org/keywords/cyber-physical-system","display_name":"Cyber-physical system","score":0.7491716146469116},{"id":"https://openalex.org/keywords/formalism","display_name":"Formalism (music)","score":0.5099929571151733},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4146840274333954},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3699977397918701},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3691294193267822},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33853185176849365},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.29468613862991333},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.19264331459999084}],"concepts":[{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.8427987098693848},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.8243854641914368},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7564262747764587},{"id":"https://openalex.org/C179768478","wikidata":"https://www.wikidata.org/wiki/Q1120057","display_name":"Cyber-physical system","level":2,"score":0.7491716146469116},{"id":"https://openalex.org/C73301696","wikidata":"https://www.wikidata.org/wiki/Q5469984","display_name":"Formalism (music)","level":3,"score":0.5099929571151733},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4146840274333954},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3699977397918701},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3691294193267822},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33853185176849365},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.29468613862991333},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.19264331459999084},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C558565934","wikidata":"https://www.wikidata.org/wiki/Q2743","display_name":"Musical","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/csr54599.2022.9850301","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csr54599.2022.9850301","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Cyber Security and Resilience (CSR)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04086929v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04086929","pdf_url":"https://hal.science/hal-04086929v1/file/IEEE_CSR-2-7.pdf","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2022 IEEE International Conference on Cyber Security and Resilience (CSR), May 2023, Rhodes, Greece, France. pp.197-202, &#x27E8;10.1109/CSR54599.2022.9850301&#x27E9;","raw_type":"Conference papers"},{"id":"pmh:oai:HAL:hal-04085957v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04085957","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2022 IEEE International Conference on Cyber Security and Resilience (CSR), Jul 2022, Rhodes, Greece. pp.197-202, &#x27E8;10.1109/CSR54599.2022.9850301&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-04086929v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04086929","pdf_url":"https://hal.science/hal-04086929v1/file/IEEE_CSR-2-7.pdf","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2022 IEEE International Conference on Cyber Security and Resilience (CSR), May 2023, Rhodes, Greece, France. pp.197-202, &#x27E8;10.1109/CSR54599.2022.9850301&#x27E9;","raw_type":"Conference papers"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4299680235.pdf","grobid_xml":"https://content.openalex.org/works/W4299680235.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W2007339694","https://openalex.org/W2165698076","https://openalex.org/W2726279040","https://openalex.org/W2803187616","https://openalex.org/W2886243431","https://openalex.org/W2972025741","https://openalex.org/W2977797911","https://openalex.org/W2990789643","https://openalex.org/W3016560828","https://openalex.org/W3018464563","https://openalex.org/W3042070225","https://openalex.org/W3084436411","https://openalex.org/W3115997015","https://openalex.org/W3127000387","https://openalex.org/W3166992878","https://openalex.org/W3181025810","https://openalex.org/W3205701848","https://openalex.org/W4318619660","https://openalex.org/W6728757088","https://openalex.org/W6751420435","https://openalex.org/W6770590064","https://openalex.org/W6782937185","https://openalex.org/W6787437369"],"related_works":["https://openalex.org/W4386603768","https://openalex.org/W2950475743","https://openalex.org/W2886711096","https://openalex.org/W2750384547","https://openalex.org/W4380078352","https://openalex.org/W3196405711","https://openalex.org/W4392303055","https://openalex.org/W3187232590","https://openalex.org/W2093359968","https://openalex.org/W4388282301"],"abstract_inverted_index":{"Industrial":[0],"Cyber-Physical":[1],"Systems":[2],"(ICPS)":[3],"have":[4,19],"gained":[5],"considerable":[6,25],"interest":[7],"in":[8],"the":[9,48,81,86,111,120,124],"last":[10],"decade":[11],"from":[12,85],"both":[13],"industry":[14],"and":[15,23,31,50,76,109,137],"academia.":[16],"Such":[17],"systems":[18,74],"proven":[20],"particularly":[21],"complex":[22],"provide":[24],"challenges":[26,45],"to":[27,40,47,71,107,118],"master":[28],"their":[29,33,91],"design":[30],"ensure":[32],"functionalities.":[34],"In":[35],"this":[36],"paper,":[37],"we":[38,65],"intend":[39],"tackle":[41],"some":[42],"of":[43,53,123],"these":[44],"related":[46],"performance":[49,92],"decision":[51],"supports":[52],"ICPS":[54,68,82],"by":[55,93,104],"proposing":[56,94],"a":[57,67],"federated":[58,100],"learning":[59,97,101,115],"based":[60,79],"framework,":[61],"called":[62],"FedGA-ICPS.":[63],"First,":[64],"initiate":[66],"modeling":[69],"formalism":[70],"specify":[72],"such":[73],"structure":[75],"behaviors.":[77],"Then,":[78,99],"on":[80,135],"generated":[83],"data":[84],"industrial":[87],"sensors,":[88],"FedGA-ICPS":[89,131],"analyzes":[90],"locally":[95],"embedded":[96],"models.":[98],"is":[102,116],"powered":[103],"genetic":[105],"algorithm":[106],"accelerate":[108],"improve":[110],"aggregation.":[112],"Finally,":[113],"transfer":[114],"applied":[117,134],"broadcast":[119],"performed":[121],"parameters":[122],"leaning":[125],"models":[126],"over":[127],"different":[128],"constrained":[129],"entities.":[130],"has":[132],"been":[133],"MNIST":[136],"showed":[138],"prominent":[139],"results.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}
