Search Results for author: Jean-Francois Chamberland

Found 4 papers, 1 papers with code

PolarAir: A Compressed Sensing Scheme for Over-the-Air Federated Learning

no code implementations24 Jan 2023 Michail Gkagkos, Krishna R. Narayanan, Jean-Francois Chamberland, Costas N. Georghiades

The goal is to create a low complexity, linear compression strategy, called PolarAir, that reduces the size of the gradient at the user side to lower the number of channel uses needed to transmit it.

Federated Learning

DOPE: Doubly Optimistic and Pessimistic Exploration for Safe Reinforcement Learning

1 code implementation1 Dec 2021 Archana Bura, Aria HasanzadeZonuzy, Dileep Kalathil, Srinivas Shakkottai, Jean-Francois Chamberland

Safe reinforcement learning is extremely challenging--not only must the agent explore an unknown environment, it must do so while ensuring no safety constraint violations.

reinforcement-learning Reinforcement Learning (RL) +2

Multi-Class Unsourced Random Access via Coded Demixing

no code implementations15 Feb 2021 Vamsi K. Amalladinne, Allen Hao, Stefano Rini, Jean-Francois Chamberland

Unsourced random access (URA) is a recently proposed communication paradigm attuned to machine-driven data transfers.

Information Theory Information Theory

An Exploration of the Heterogeneous Unsourced MAC

no code implementations22 Nov 2020 Allen Hao, Stefano Rini, Vamsi Amalladinne, Asit Kumar Pradhan, Jean-Francois Chamberland

In the cluster with higher power, devices transmit using a two-layer superposition modulation.

Information Theory Information Theory

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