A Precision-Scalable RISC-V DNN Processor with On-Device Learning Capability at the Extreme Edge

no code implementations • 15 Sep 2023 • Longwei Huang, Chao Fang, Qiong Li, Jun Lin, Zhongfeng Wang

However, many edge devices struggle to boost inference throughput of various quantized DNNs due to the varying quantization levels, and these devices lack floating-point (FP) support for on-device learning, which prevents them from improving model accuracy while ensuring data privacy.

Quantization