Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment

1 code implementation • 18 Sep 2019 • Jingyang Zhang, Huanrui Yang, Fan Chen, Yitu Wang, Hai Li

However, the power hungry analog-to-digital converters (ADCs) prevent the practical deployment of ReRAM-based DNN accelerators on end devices with limited chip area and power budget.

FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning

no code implementations • CVPR 2022 • Minxue Tang, Xuefei Ning, Yitu Wang, Jingwei Sun, Yu Wang, Hai Li, Yiran Chen

In this work, we propose FedCor -- an FL framework built on a correlation-based client selection strategy, to boost the convergence rate of FL.

Federated Learning