219 citations · 917 across the 84 of their papers we have counts for
6 papers · 1 filter
An Optimization Framework for Federated Edge Learning
Yangchen Li, Ying Cui, Vincent Lau
The optimal design of federated learning (FL) algorithms for solving general machine learning (ML) problems in practical edge computing systems with quantized message passing remai…
Sample-based Federated Learning via Mini-batch SSCA
Chencheng Ye, Ying Cui
In this paper, we investigate unconstrained and constrained sample-based federated optimization, respectively. For each problem, we propose a privacy preserving algorithm using sto…
Queue-Aware Dynamic Clustering and Power Allocation for Network MIMO Systems via Distributive Stochastic Learning
Ying Cui, Qingqing Huang, Vincent K. N. Lau
In this paper, we propose a two-timescale delay-optimal dynamic clustering and power allocation design for downlink network MIMO systems. The dynamic clustering control is adaptive…
Queue-Aware Distributive Resource Control for Delay-Sensitive Two-Hop MIMO Cooperative Systems
Rui Wang, Vincent K. N. Lau, Ying Cui
In this paper, we consider a queue-aware distributive resource control algorithm for two-hop MIMO cooperative systems. We shall illustrate that relay buffering is an effective way…
Distributive Stochastic Learning for Delay-Optimal OFDMA Power and Subband Allocation
Ying Cui, Vincent K. N. Lau
In this paper, we consider the distributive queue-aware power and subband allocation design for a delay-optimal OFDMA uplink system with one base station, users and indep…
Delay-Optimal Power and Subcarrier Allocation for OFDMA Systems via Stochastic Approximation
Vincent K. N. Lau, Ying Cui
In this paper, we consider delay-optimal power and subcarrier allocation design for OFDMA systems with subcarriers, mobiles and one base station. There are queues at…