However, existing federated reinforcement learning approaches have not adequately addressed communication and computation overhead issues. To address these challenges, this study proposes a tensor ...

There is a need for an AI accelerator optimized for large language models (LLMs) that combines high memory bandwidth and dense compute power while minimizing power consumption. Traditional ...