Multi-Flow Transmission in Wireless Interference Networks: A Convergent Graph Learning Approach

no code implementations • 27 Mar 2023 • Raz Paul, Kobi Cohen, Gil Kedar

The objective is to develop a multi-flow transmission strategy that routes flows across the wireless interference network to maximize the network utility.

Graph Learning Reinforcement Learning (RL)

Accelerated Gradient Descent Learning over Multiple Access Fading Channels

no code implementations • 26 Jul 2021 • Raz Paul, Yuval Friedman, Kobi Cohen

The objective function is a sum of the edge devices' local loss functions, who aim to train a shared model by communicating with the PS over multiple access channels (MAC).

Federated Learning