Abstract: The paper studies discrete-time statistical filtering problems with the goal to minimize expected total costs. Such problems are usually defined by pairs of stochastic equations and by ...
Abstract: This paper proposes a federated reinforcement learning (FRL) framework for optimizing energy efficiency (EE) and Age of Information (AoI) in device-to-device (D2D) and Internet of Things ...
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