Pengfei Xu

Robust Federated Learning With Multi-Category Accuracy for Non-IID Data

2025 · IEEE Transactions on Consumer Electronics

Federated learning is increasingly utilized in devices such as smartphones, smart home systems, and wearables for applications like personalized recommendations, voice assistants, and health monitoring. However, FL’s decentralized nature makes it susceptible to malicious attacks, …

AIMMerging: Adaptive Iterative Model Merging Using Training Trajectories for Language Model Continual Learning

2025 · arXiv (Cornell University)

Continual learning (CL) is essential for deploying large language models (LLMs) in dynamic real-world environments without the need for costly retraining. Recent model merging-based methods have attracted significant attention, but they still struggle to effectively …