Feilong Zhang

Communication-Efficient Federated Learning via Model Update Distillation

Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs

Contraction and Alienation: Towards Theoretical Understanding of Non-Contrastive Learning with Neighbor-Averaging Dynamics

Everyone Counts: Fair and Accurate Heterogeneous Federated Learning with Resource-Adaptive Model Modulation

Communication-Efficient Federated Learning via Gradient Distillation