1 citations · 1 across the 4 of their papers we have counts for
4 papers
CSMAAFL: Client Scheduling and Model Aggregation in Asynchronous Federated Learning
Xiang Ma, Qun Wang, Haijian Sun +2
Asynchronous federated learning aims to solve the straggler problem in heterogeneous environments, i.e., clients have small computational capacities that could cause aggregation de…
Approximate Wireless Communication for Federated Learning
Xiang Ma, Haijian Sun, Rose Qingyang Hu +1
This paper presents an approximate wireless communication scheme for federated learning (FL) model aggregation in the uplink transmission. We consider a realistic channel that reve…
A New Implementation of Federated Learning for Privacy and Security Enhancement
Xiang Ma, Haijian Sun, Rose Qingyang Hu +1
Motivated by the ever-increasing concerns on personal data privacy and the rapidly growing data volume at local clients, federated learning (FL) has emerged as a new machine learni…
Noise and Edge Based Dual Branch Image Manipulation Detection
Zhongyuan Zhang, Yi Qian, Yanxiang Zhao +2
Unlike ordinary computer vision tasks that focus more on the semantic content of images, the image manipulation detection task pays more attention to the subtle information of imag…