Takip et
Tailin Zhou
Tailin Zhou
Ph.D. candidate in HKUST
connect.ust.hk üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
512022
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
422021
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
262021
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
252023
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
132024
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
112023
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
32024
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
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
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–9