11 citations · 12 across the 5 of their papers we have counts for
5 papers
Dynamic Coded Distributed Convolution for UAV-based Networked Airborne Computing
Bingnan Zhou, Junfei Xie, Baoqian Wang
A single unmanned aerial vehicle (UAV) has limited computing resources and battery capacity, making it difficult to handle computationally intensive tasks such as the convolution o…
Distributed Multi-Agent Reinforcement Learning with One-hop Neighbors and Compute Straggler Mitigation
Baoqian Wang, Junfei Xie, Nikolay Atanasov
Most multi-agent reinforcement learning (MARL) methods are limited in the scale of problems they can handle. With increasing numbers of agents, the number of training iterations re…
Multi-Agent Reinforcement Learning Based Coded Computation for Mobile Ad Hoc Computing
Baoqian Wang, Junfei Xie, Kejie Lu +2
Mobile ad hoc computing (MAHC), which allows mobile devices to directly share their computing resources, is a promising solution to address the growing demands for computing resour…
Coding for Distributed Multi-Agent Reinforcement Learning
Baoqian Wang, Junfei Xie, Nikolay Atanasov
This paper aims to mitigate straggler effects in synchronous distributed learning for multi-agent reinforcement learning (MARL) problems. Stragglers arise frequently in a distribut…
On Batch-Processing Based Coded Computing for Heterogeneous Distributed Computing Systems
Baoqian Wang, Junfei Xie, Kejie Lu +2
In recent years, coded distributed computing (CDC) has attracted significant attention, because it can efficiently facilitate many delay-sensitive computation tasks against unexpec…