41 citations · 48 across the 7 of their papers we have counts for
7 papers
DPP-based Client Selection for Federated Learning with Non-IID Data
Yuxuan Zhang, Chao Xu, Howard H. Yang +2
This paper proposes a client selection (CS) method to tackle the communication bottleneck of federated learning (FL) while concurrently coping with FL's data heterogeneity issue. S…
Hierarchical Personalized Federated Learning Over Massive Mobile Edge Computing Networks
Chaoqun You, Kun Guo, Howard H. Yang +1
Personalized Federated Learning (PFL) is a new Federated Learning (FL) paradigm, particularly tackling the heterogeneity issues brought by various mobile user equipments (UEs) in m…
Age of Information Under Frame Slotted ALOHA-Based Status Updating Protocol
Zhiling Yue, Howard H. Yang, Meng Zhang +1
We propose a frame slotted ALOHA (FSA)-based protocol for a random access network where sources transmit status updates to their intended destinations. We evaluate the effect of su…
Personalizing Federated Learning with Over-the-Air Computations
Zihan Chen, Zeshen Li, Howard H. Yang +1
Federated edge learning is a promising technology to deploy intelligence at the edge of wireless networks in a privacy-preserving manner. Under such a setting, multiple clients col…
Analysis of Age of Information in Dual Updating Systems
Zhengchuan Chen, Dapeng Deng, Howard H. Yang +5
We study the average Age of Information (AoI) and peak AoI (PAoI) of a dual-queue status update system that monitors a common stochastic process. Although the double queue parallel…
Towards Federated Long-Tailed Learning
Zihan Chen, Songshang Liu, Hualiang Wang +3
Data privacy and class imbalance are the norm rather than the exception in many machine learning tasks. Recent attempts have been launched to, on one side, address the problem of l…