Publications

research scientist
Ing. Lenka Skovajsová, PhD.

Publications for year 2025

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Publications

  • SKOVAJSOVÁ, Lenka - HLUCHÝ, Ladislav - STAŇO, Michal. A review of multi-objective and multi-task federated learning approaches. In IEEE 23rd world symposium on applied machine intelligence and informatics : SAMI 2025. Proceedings. - Danvers : IEEE, 2025, p. 35-40. ISBN 979-8-3503-7936-5. ISSN 2767-9438. Dostupné na: https://doi.org/10.1109/SAMI63904.2025.10883172 (SAMI 2025 : IEEE 23rd world symposium on applied machine intelligence and informatics.) Typ: ADMB
    Citations:
    [1.1] CHEN, Guihong - TONG, Mingyong - YIN, Jiao - WANG, Maojie - CAO, Jinli - WANG, Hua. SecureGraphFL: A Privacy-Preserving and Attack-Resilient Federated Learning Framework for Traffic Prediction. In IEEE INTERNET OF THINGS JOURNAL, 2025, vol. 12, no. 21, pp. 44988-44999. ISSN 2327-4662. Dostupné na: https://doi.org/10.1109/JIOT.2025.3599568, Registrované v: WOS
    [1.1] MILLER, Tymoteusz - DURLIK, Irmina - KOSTECKA, Ewelina - KOZLOVSKA, Polina - NOWAK, Aleksander. Federated Learning for Decentralized Electricity Market Optimization: A Review and Research Agenda. In ENERGIES, 2025, vol. 18, no. 17, art. no. 4682. Dostupné na: https://doi.org/10.3390/en18174682, Registrované v: WOS
    [1.1] TIMOFTE, Edi Marian - DIMIAN, Mihai - GRAUR, Adrian - POTORAC, Alin Dan - BALAN, Doru - CROITORU, Ionut - HRITCAN, Daniel-Florin - PUSCASU, Marcel. Federated Learning for Cybersecurity: A Privacy-Preserving Approach. In APPLIED SCIENCES-BASEL, 2025, vol. 15, no. 12, art. no. 6878. Dostupné na: https://doi.org/10.3390/app15126878, Registrované v: WOS
    [1.2] BAO, Yuhao - GAO, Jinfeng - FENG, Dongqin - LI, Lebao. Edge Hierarchical Asynchronous Federated Learning Model for the Industrial Internet of Things. In Proceedings 2025 11th IEEE International Conference on Privacy Computing and Data Security Pcds 2025, 2025-01-01, pp. 139-144. ISBN [9781665477468]. Dostupné na: https://doi.org/10.1109/PCDS65695.2025.00027, Registrované v: SCOPUS
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