collaborators

6 papers

cs.NI2025

A Differentiable Digital Twin of Distributed Link Scheduling for Contention-Aware Networking

Zhongyuan Zhao, Yujun Ming, Kevin Chan +2

Many routing and flow optimization problems in wired networks can be solved efficiently using minimum cost flow formulations. However, this approach does not extend to wireless mul…

cs.NI2025

Link-Sharing Backpressure Routing In Wireless Multi-Hop Networks

Zhongyuan Zhao, Yujun Ming, Ananthram Swami +3

Backpressure (BP) routing and scheduling is an established resource allocation method for wireless multi-hop networks, noted for its fully distributed operation and maximum queue s…

cs.NI2025

SeLR: Sparsity-enhanced Lagrangian Relaxation for Computation Offloading at the Edge

Negar Erfaniantaghvayi, Zhongyuan Zhao, Kevin Chan +2

This paper introduces a novel computational approach for offloading sensor data processing tasks to servers in edge networks for better accuracy and makespan. A task is assigned wi…

cs.NI2025

Generalizing Biased Backpressure Routing and Scheduling to Wireless Multi-hop Networks with Advanced Air-interfaces

Zhongyuan Zhao, Yujun Ming, Ananthram Swami +3

Backpressure (BP) routing and scheduling is a well-established resource allocation method for wireless multi-hop networks, known for its fully distributed operations and proven max…

cs.NI2025

Joint Task Offloading and Routing in Wireless Multi-hop Networks Using Biased Backpressure Algorithm

Zhongyuan Zhao, Jake Perazzone, Gunjan Verma +3

A significant challenge for computation offloading in wireless multi-hop networks is the complex interaction among traffic flows in the presence of interference. Existing approache…

cs.LG2024

Fully Distributed Online Training of Graph Neural Networks in Networked Systems

Rostyslav Olshevskyi, Zhongyuan Zhao, Kevin Chan +3

Graph neural networks (GNNs) are powerful tools for developing scalable, decentralized artificial intelligence in large-scale networked systems, such as wireless networks, power gr…