1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.DC2024
Revisiting the Time Cost Model of AllReduce
Dian Xiong, Li Chen, Youhe Jiang +3
AllReduce is an important and popular collective communication primitive, which has been widely used in areas such as distributed machine learning and high performance computing. T…
cs.DC2023
Towards Fast Personalized Semi-Supervised Federated Learning in Edge Networks: Algorithm Design and Theoretical Guarantee
Shuai Wang, Yanqing Xu, Yanyi Yuan +1
Recent years have witnessed a huge demand for artificial intelligence and machine learning applications in wireless edge networks to assist individuals with real-time services. Owi…
cs.LG2023★ 1 cited
Beyond ADMM: A Unified Client-variance-reduced Adaptive Federated Learning Framework
Shuai Wang, Yanqing Xu, Zhiguo Wang +3
As a novel distributed learning paradigm, federated learning (FL) faces serious challenges in dealing with massive clients with heterogeneous data distribution and computation and…