Hao Zhu

Towards Interference-Free One-Shot Federated Learning via Frequency Domain Aggregation

Provably Continual Unlearning for Large Language Model

Orthogonal Updates Are Optimal for Continual Learning

CrossSpectra: Exploiting Cross-Layer Smoothness for Parameter-Efficient Fine-Tuning

Machine Unlearning via Task Simplex Arithmetic

Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices

Less is More: Extreme Gradient Boost Rank-1 Adaption for Efficient Finetuning of LLMs

Beyond Random Masking: When Dropout meets Graph Convolutional Networks

PISA: Compressive Sensing Adaptation of Large Language Models