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Federated learning methods for analytics of big and sensitive distributed data and survey
Title Federated learning methods for analytics of big and sensitive distributed data and survey Author Staňo Michal SAVINFO - Ústav informatiky SAV Co-authors Hluchý Ladislav 1952- SAVINFO - Ústav informatiky SAV SCOPUS RID ORCID Bobák Martin 1989- SAVINFO - Ústav informatiky SAV SCOPUS RID ORCID Krammer Peter 1984- SAVINFO - Ústav informatiky SAV SCOPUS RID ORCID Tran Viet 1972- SAVINFO - Ústav informatiky SAV SCOPUS RID ORCID Source document IEEE 17th international symposium on applied computational intelligence and informatics (SACI 2023) : Proceedings. P. 705-710. - Danvers, US : IEEE, 2023 Language eng - English Document kind rozpis článkov z periodík (rzb) Citations WANG, Pengfei - YU, Xinrui - YE, Yefei - QI, Heng - YU, Shuo - YANG, Leyou - ZHANG, Qiang. Anomalous Behavior Identification with Visual Federated Learning in Multi-UAVs Systems. In Proceedings of the International Conference on Parallel and Distributed Systems ICPADS, 2023-01-01, pp. 2143-2150. ISSN 15219097. Dostupné na: https://doi.org/10.1109/ICPADS60453.2023.00290. SHERPA, L. - BANERJI, N. Federated learning-hope and scope. In IgMin Research. 2023, vol. 1, no. 1, pp. 22-24. doi: 10.61927/igmin112. BAABDULLAH, Tahani - ALZAHRANI, Amani - RAWAT, Danda B. - LIU, Chunmei. Efficiency of Federated Learning and Blockchain in Preserving Privacy and Enhancing the Performance of Credit Card Fraud Detection (CCFD) Systems. In FUTURE INTERNET, 2024, vol. 16, no. 6, pp. ISSN 1999-5903. Dostupné na: https://doi.org/10.3390/fi16060196. WANG, Pengfei - YU, Xinrui - YE, Yefei - QI, Heng - YU, Shuo - YANG, Leyou - ZHANG, Qiang. Anomalous Behavior Identification with Visual Federated Learning in Multi-UAVs Systems. In Proceedings of the International Conference on Parallel and Distributed Systems ICPADS, 2023-01-01, pp. 2143-2150. ISSN 15219097. Dostupné na: https://doi.org/10.1109/ICPADS60453.2023.00290. JAIN, A. - JAT, D.S. High-performance federated learning techniques for deep learning on medical dataset. In International Conference on Information and Communication Technology for Intelligent Systems. 2024, pp. 387-399. doi: 10.1007/978-981-97-5799-2_33. BEKTEMYSSOVA, G. - BAKIROVA, G. Comparative analysis of federated machine learning algorithms. In Scientific Journal of Astana IT University, 2024, vol. 17, pp. 57-67. doi: 10.37943/17BVCN7579. Category ADMB - Scientific papers in foreign non-impacted journals registered in Web of Sciences or Scopus Category of document (from 2022) V2 - Vedecký výstup publikačnej činnosti ako časť editovanej knihy alebo zborníka Type of document príspevok z podujatia Year 2023 Registered in SCOPUS DOI 10.1109/SACI58269.2023.10158622 
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rok vydania rok metriky IF IF Q (best) SJR SJR Q (best) 2023
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