Yaochu Jin

6

Papers

13

Total Citations

Papers (6)

Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning

SpiLiFormer: Enhancing Spiking Transformers with Lateral Inhibition

MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets

Personalized Federated Learning under Local Supervision

Neural Architecture Search Driven by Locally Guided Diffusion for Personalized Federated Learning