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03/02/2022
On-Device Learning: A Neural Network Based Field-Trainable Edge AI
In real-world edge AI applications, their accuracy is often affected by ...
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03/17/2021
An Overflow/Underflow-Free Fixed-Point Bit-Width Optimization Method for OS-ELM Digital Circuit
Currently there has been increasing demand for real-time training on res...
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05/10/2020
An FPGA-Based On-Device Reinforcement Learning Approach using Online Sequential Learning
DQN (Deep Q-Network) is a method to perform Q-learning for reinforcement...
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02/27/2020
An On-Device Federated Learning Approach for Cooperative Anomaly Detection
Most edge AI focuses on prediction tasks on resource-limited edge device...
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07/23/2019
