46 citations · 165 across the 62 of their papers we have counts for
5 papers · 1 filter
Power Allocation for Wireless Federated Learning using Graph Neural Networks
Boning Li, Ananthram Swami, Santiago Segarra
We propose a data-driven approach for power allocation in the context of federated learning (FL) over interference-limited wireless networks. The power policy is designed to maximi…
Delay-Oriented Distributed Scheduling Using Graph Neural Networks
Zhongyuan Zhao, Gunjan Verma, Ananthram Swami +1
In wireless multi-hop networks, delay is an important metric for many applications. However, the max-weight scheduling algorithms in the literature typically focus on instantaneous…
ML-aided power allocation for Tactical MIMO
Arindam Chowdhury, Gunjan Verma, Chirag Rao +2
We study the problem of optimal power allocation in single-hop multi-antenna ad-hoc wireless networks. A standard technique to solve this problem involves optimizing a tri-convex f…
Link Scheduling using Graph Neural Networks
Zhongyuan Zhao, Gunjan Verma, Chirag Rao +2
Efficient scheduling of transmissions is a key problem in wireless networks. The main challenge stems from the fact that optimal link scheduling involves solving a maximum weighted…
Free Energy Node Embedding via Generalized Skip-gram with Negative Sampling
Yu Zhu, Ananthram Swami, Santiago Segarra
A widely established set of unsupervised node embedding methods can be interpreted as consisting of two distinctive steps: i) the definition of a similarity matrix based on the gra…