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Privacy Preservation in Kubernetes-based Federated Learning: A Networking Approach., , , , , , , , and . INFOCOM Workshops, page 1-7. IEEE, (2023)Profiling AI Models: Towards Efficient Computation Offloading in Heterogeneous Edge AI Systems., , , and . 6GNet, page 164-166. IEEE, (2024)A Scalable and Distributed Hierarchical Architecture for Network Monitoring-on-Demand., , , , , and . 6GNet, page 63-68. IEEE, (2024)Querying and Annotating Model Histories with Time-Aware Patterns., , , and . MoDELS, page 194-204. IEEE, (2019)Federated Transfer Component Analysis Towards Effective VNF Profiling., , , , and . CoRR, (2024)GAN-Based Privacy Abuse Attack on Federated Learning in IoT Networks., , , , , and . INFOCOM (Workshops), page 1-2. IEEE, (2024)AI-Native Multi-Access Future Networks - The REASON Architecture., , , , , , , , , and 6 other author(s). IEEE Access, (2024)Federated Hyperparameter Optimisation with Flower and Optuna., , , , and . SAC, page 1209-1216. ACM, (2023)Towards an architecture integrating complex event processing and temporal graphs for service monitoring., , , , and . SAC, page 427-435. ACM, (2021)History-aware explanations: towards enabling human-in-the-loop in self-adaptive systems., , , and . MoDELS (Companion), page 286-295. ACM, (2022)