18 citations · 27 across the 4 of their papers we have counts for
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cs.LG2020★ 5 cited
An FPGA-Based On-Device Reinforcement Learning Approach using Online Sequential Learning
Hirohisa Watanabe, Mineto Tsukada, Hiroki Matsutani
DQN (Deep Q-Network) is a method to perform Q-learning for reinforcement learning using deep neural networks. DQNs require a large buffer and batch processing for an experience rep…
cs.LG2020★ 18 cited
An On-Device Federated Learning Approach for Cooperative Model Update between Edge Devices
Rei Ito, Mineto Tsukada, Hiroki Matsutani
Most edge AI focuses on prediction tasks on resource-limited edge devices while the training is done at server machines. However, retraining or customizing a model is required at e…