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09/21/2022
Distributed Online Non-convex Optimization with Composite Regret
Regret has been widely adopted as the metric of choice for evaluating th...
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08/28/2022
Asynchronous Training Schemes in Distributed Learning with Time Delay
In the context of distributed deep learning, the issue of stale weights ...
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12/06/2021
MDPGT: Momentum-based Decentralized Policy Gradient Tracking
We propose a novel policy gradient method for multi-agent reinforcement ...
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10/21/2020
Decentralized Deep Learning using Momentum-Accelerated Consensus
We consider the problem of decentralized deep learning where multiple ag...
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11/08/2019
Deep Transfer Learning for Thermal Dynamics Modeling in Smart Buildings
Thermal dynamics modeling has been a critical issue in building heating,...
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10/15/2019