7 citations · 9 across the 5 of their papers we have counts for
6 papers · 1 filter
Server Free Wireless Federated Learning: Architecture, Algorithm, and Analysis
Howard H. Yang, Zihan Chen, Tony Q. S. Quek
We demonstrate that merely analog transmissions and match filtering can realize the function of an edge server in federated learning (FL). Therefore, a network with massively distr…
Age of Information in Random Access Networks: A Spatiotemporal Study
Howard H. Yang, Ahmed Arafa, Tony Q. S. Quek +1
We investigate the age-of-information (AoI) in the context of random access networks, in which transmitters need to send a sequence of information packets to intended receivers ove…
Age-Based Scheduling Policy for Federated Learning in Mobile Edge Networks
Howard H. Yang, Ahmed Arafa, Tony Q. S. Quek +1
Federated learning (FL) is a machine learning model that preserves data privacy in the training process. Specifically, FL brings the model directly to the user equipments (UEs) for…
Scheduling Policies for Federated Learning in Wireless Networks
Howard H. Yang, Zuozhu Liu, Tony Q. S. Quek +1
Motivated by the increasing computational capacity of wireless user equipments (UEs), e.g., smart phones, tablets, or vehicles, as well as the increasing concerns about sharing pri…
Locally Adaptive Scheduling Policy for Optimizing Information Freshness in Wireless Networks
Howard H. Yang, Ahmed Arafa, Tony Q. S. Quek +1
Optimization of information freshness in wireless networks has usually been performed based on queueing analysis that captures only the temporal traffic dynamics associated with th…
SIR Coverage Analysis in Cellular Networks with Temporal Traffic: A Stochastic Geometry Approach
Howard H. Yang, Tony Q. S. Quek
The bloom in mobile applications not just bring in enjoyment to daily life, but also imposes more complicated traffic situation on wireless network. A complete understanding of the…