IEEE

Implementation of Federated Learning Algorithms for Non Independent and Identically ...

Abstract: Federated Learning (FL) has emerged as a transformative approach for training machine learning models across decentralized data sources while preserving privacy. This study evaluates the ...
IEEE

Scaling up Deep Reinforcement Learning for AI Using FPGAs

Abstract: Deep Reinforcement Learning (DRL) combines Reinforcement Learning (RL) algorithms and Deep Learning (DL) to achieve remarkable advancements in AI. Specifically, RL trains one or more agents ...