29 citations · 84 across the 14 of their papers we have counts for
8 papers · 1 filter
Graph Neural Networks over the Air for Decentralized Tasks in Wireless Networks
Zhan Gao, Deniz Gunduz
Graph neural networks (GNNs) model representations from networked data and allow for decentralized inference through localized communications. Existing GNN architectures often assu…
Learning Stable Graph Neural Networks via Spectral Regularization
Zhan Gao, Elvin Isufi
Stability of graph neural networks (GNNs) characterizes how GNNs react to graph perturbations and provides guarantees for architecture performance in noisy scenarios. This paper de…
Learning Stochastic Graph Neural Networks with Constrained Variance
Zhan Gao, Elvin Isufi
Stochastic graph neural networks (SGNNs) are information processing architectures that learn representations from data over random graphs. SGNNs are trained with respect to the exp…
Balancing Rates and Variance via Adaptive Batch-Size for Stochastic Optimization Problems
Zhan Gao, Alec Koppel, Alejandro Ribeiro
Stochastic gradient descent is a canonical tool for addressing stochastic optimization problems, and forms the bedrock of modern machine learning and statistics. In this work, we s…
Resource Allocation via Model-Free Deep Learning in Free Space Optical Communications
Zhan Gao, Mark Eisen, Alejandro Ribeiro
This paper investigates the general problem of resource allocation for mitigating channel fading effects in Free Space Optical (FSO) communications. The resource allocation problem…
Resource Allocation via Graph Neural Networks in Free Space Optical Fronthaul Networks
Zhan Gao, Mark Eisen, Alejandro Ribeiro
This paper investigates the optimal resource allocation in free space optical (FSO) fronthaul networks. The optimal allocation maximizes an average weighted sum-capacity subject to…
Stochastic Graph Neural Networks
Zhan Gao, Elvin Isufi, Alejandro Ribeiro
Graph neural networks (GNNs) model nonlinear representations in graph data with applications in distributed agent coordination, control, and planning among others. Current GNN arch…
Optimal WDM Power Allocation via Deep Learning for Radio on Free Space Optics Systems
Zhan Gao, Mark Eisen, Alejandro Ribeiro
Radio on Free Space Optics (RoFSO), as a universal platform for heterogeneous wireless services, is able to transmit multiple radio frequency signals at high rates in free space op…