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GAN-Based Privacy Abuse Attack on Federated Learning in IoT Networks.

, , , , , и . INFOCOM (Workshops), стр. 1-2. IEEE, (2024)

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Juan Marcelo Cadena Ibarra

Hsiao-Mei Juan

Alexander Juan

Carlos Parra

Pere Juan i Tous

 

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Querying and Annotating Model Histories with Time-Aware Patterns., , , и . MoDELS, стр. 194-204. IEEE, (2019)GAN-Based Privacy Abuse Attack on Federated Learning in IoT Networks., , , , , и . INFOCOM (Workshops), стр. 1-2. IEEE, (2024)Federated Transfer Component Analysis Towards Effective VNF Profiling., , , , и . GLOBECOM, стр. 3309-3315. IEEE, (2024)Lifecycle Management of Trustworthy AI Models in 6G Networks: the Reason Approach., , , , , , , , , и 4 other автор(ы). IEEE Wirel. Commun., 32 (2): 42-51 (апреля 2025)Privacy Preservation in Kubernetes-based Federated Learning: A Networking Approach., , , , , , , , и . INFOCOM Workshops, стр. 1-7. IEEE, (2023)AI-Native Multi-Access Future Networks - The REASON Architecture., , , , , , , , , и 6 other автор(ы). CoRR, (2024)Profiling AI Models: Towards Efficient Computation Offloading in Heterogeneous Edge AI Systems., , , и . 6GNet, стр. 164-166. IEEE, (2024)A Scalable and Distributed Hierarchical Architecture for Network Monitoring-on-Demand., , , , , и . 6GNet, стр. 63-68. IEEE, (2024)Federated Hyperparameter Optimisation with Flower and Optuna., , , , и . SAC, стр. 1209-1216. ACM, (2023)Towards an architecture integrating complex event processing and temporal graphs for service monitoring., , , , и . SAC, стр. 427-435. ACM, (2021)