Wenchao Xu

Joint Resource Allocation and User Scheduling Scheme for Federated Learning

2021 · 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)

This paper investigates the impact of communication factors on the convergence performance of federated learning (FL) in wireless networks. Considering the limited communication resources in wireless networks, it is difficult to schedule all users to …

Demystify Self-Attention in Vision Transformers from a Semantic Perspective: Analysis and Application

2022 · arXiv (Cornell University)

Self-attention mechanisms, especially multi-head self-attention (MSA), have achieved great success in many fields such as computer vision and natural language processing. However, many existing vision transformer (ViT) works simply inherent transformer designs from NLP to …

Non-Exemplar Online Class-incremental Continual Learning via Dual-prototype Self-augment and Refinement

2023 · arXiv (Cornell University)

This paper investigates a new, practical, but challenging problem named Non-exemplar Online Class-incremental continual Learning (NO-CL), which aims to preserve the discernibility of base classes without buffering data examples and efficiently learn novel classes continuously …

RingSFL: An Adaptive Split Federated Learning Towards Taming Client Heterogeneity

2023 · IEEE Transactions on Mobile Computing

Federated learning (FL) has gained increasing attention due to its ability to collaboratively train while protecting client data privacy. However, vanilla FL cannot adapt to client heterogeneity, leading to a degradation in training efficiency due …