Real-time detection of cyber-physical false data injection attacks on power systems T Zhou, K Xiahou, LL Zhang, QH Wu IEEE Transactions on Industrial Informatics 17 (10), 6810-6819, 2021 | 29 | 2021 |
FedFA: Federated Learning with Feature Anchors to Align Feature and Classifier for Heterogeneous Data T Zhou, J Zhang, DHK Tsang IEEE Transactions on Mobile Computing, 2022 | 28 | 2022 |
Multi-agent-based hierarchical detection and mitigation of cyber attacks in power systems T Zhou, KS Xiahou, LL Zhang, QH Wu International Journal of Electrical Power & Energy Systems 125, 106516, 2021 | 22 | 2021 |
A survey of what to share in federated learning: perspectives on model utility, privacy leakage, and communication efficiency J Shao, Z Li, W Sun, T Zhou, Y Sun, L Liu, Z Lin, Y Mao, J Zhang arXiv preprint arXiv:2307.10655, 2023 | 16 | 2023 |
Attention-based QoE-aware Digital Twin Empowered Edge Computing for Immersive Virtual Reality J Yu, A Alhilal, T Zhou, H Pan, DHK Tsang IEEE Transactions on Wireless Communications, 2023 | 6 | 2023 |
Understanding and Improving Model Averaging in Federated Learning on Heterogeneous Data T Zhou, Z Lin, J Zhang, DHK Tsang IEEE Transactions on Mobile Computing, 2024 | 4 | 2024 |
Mode Connectivity in Federated Learning with Data Heterogeneity T Zhou, J Zhang, DHK Tsang 2023 57th Asilomar Conference on Signals, Systems, and Computers, 1600-1604, 2023 | 3* | 2023 |
Federated Prompt-based Decision Transformer for Customized VR Services in Mobile Edge Computing Systems T Zhou, J Yu, J Zhang, DHK Tsang arXiv preprint arXiv:2402.09729, 2024 | | 2024 |
QoE Optimization for VR Streaming: a Continual RL Framework in Digital Twin-empowered MEC J Yu, A Alhilal, T Zhou, P Hui, DHK Tsang 2023 IEEE Global Communications Conference (GLOBECOM), 2023 | | 2023 |