Amplified Vulnerabilities: Structured Jailbreak Attacks on LLM-based Multi-Agent Debate.
CoRR, April, 2025
Machine-Learning-Based Performance Prediction for CDN Cache Groups in Meta Computing.
IEEE Internet Things J., 2025
Towards High Efficient Long-Horizon Planning With Expert-Guided Motion-Encoding Tree Search.
IEEE Robotics Autom. Lett., July, 2024
BR-FEEL: A backdoor resilient approach for federated edge learning with fragment-sharing.
J. Syst. Archit., 2024
Backdoor Attack to Giant Model in Fragment-Sharing Federated Learning.
Big Data Min. Anal., 2024
Fed-MoE: Efficient Federated Learning for Mixture-of-Experts Models via Empirical Pruning.
Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2024
Fed-NAD: Backdoor Resilient Federated Learning via Neural Attention Distillation.
Proceedings of the 10th IEEE International Conference on Intelligent Data and Security, 2024
Fed-MS: Fault Tolerant Federated Edge Learning with Multiple Byzantine Servers.
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024
Minimally-intrusive Navigation in Dense Crowds with Integrated Macro and Micro-level Dynamics.
CoRR, 2023
Towards Minimally-Intrusive Navigation in Densely-Populated Pedestrian Flow.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2021