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05/24/2023
Stochastic Unrolled Federated Learning
Algorithm unrolling has emerged as a learning-based optimization paradig...
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10/28/2022
A State-Augmented Approach for Learning Optimal Resource Management Decisions in Wireless Networks
We consider a radio resource management (RRM) problem in a multi-user wi...
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10/01/2022
Federated Representation Learning via Maximal Coding Rate Reduction
We propose a federated methodology to learn low-dimensional representati...
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07/05/2022
State-Augmented Learnable Algorithms for Resource Management in Wireless Networks
We consider resource management problems in multi-user wireless networks...
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03/07/2022
Learning Resilient Radio Resource Management Policies with Graph Neural Networks
We consider the problems of downlink user selection and power control in...
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02/08/2022
A Lagrangian Duality Approach to Active Learning
We consider the batch active learning problem, where only a subset of th...
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10/04/2021
Wireless Link Scheduling via Graph Representation Learning: A Comparative Study of Different Supervision Levels
We consider the problem of binary power control, or link scheduling, in ...
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03/05/2021
Set Representation Learning with Generalized Sliced-Wasserstein Embeddings
An increasing number of machine learning tasks deal with learning repres...
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10/22/2020
Contrastive Self-Supervised Learning for Wireless Power Control
We propose a new approach for power control in wireless networks using s...
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10/09/2020
Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning
We propose a novel framework for value function factorization in multi-a...
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06/16/2020
Wasserstein Embedding for Graph Learning
We present Wasserstein Embedding for Graph Learning (WEGL), a novel and ...
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02/17/2020
Wireless Power Control via Counterfactual Optimization of Graph Neural Networks
We consider the problem of downlink power control in wireless networks, ...
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02/14/2020
Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning
We propose a mechanism for distributed radio resource management using m...
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02/10/2020
On the Communication Latency of Wireless Decentralized Learning
We consider a wireless network comprising n nodes located within a circu...
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12/22/2019
Energy-Aware Multi-Server Mobile Edge Computing: A Deep Reinforcement Learning Approach
We investigate the problem of computation offloading in a mobile edge co...
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12/09/2019
Learning to Code: Coded Caching via Deep Reinforcement Learning
We consider a system comprising a file library and a network with a serv...
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06/20/2019
When Multiple Agents Learn to Schedule: A Distributed Radio Resource Management Framework
Interference among concurrent transmissions in a wireless network is a k...
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04/14/2019