11 citations · 20 across the 3 of their papers we have counts for
3 papers
cs.IT2020★ 6 cited
Fast Convergence Algorithm for Analog Federated Learning
Shuhao Xia, Jingyang Zhu, Yuhan Yang +3
In this paper, we consider federated learning (FL) over a noisy fading multiple access channel (MAC), where an edge server aggregates the local models transmitted by multiple end d…
eess.SP2019★ 11 cited
CompRRAE: RRAM-based Convolutional Neural Network Accelerator with Reduced Computations through a Runtime Activation Estimation
Xizi Chen, Jingyang Zhu, Jingbo Jiang +1
Recently Resistive-RAM (RRAM) crossbar has been used in the design of the accelerator of convolutional neural networks (CNNs) to solve the memory wall issue. However, the intensive…
cs.LG2017★ 3 cited
SparseNN: An Energy-Efficient Neural Network Accelerator Exploiting Input and Output Sparsity
Jingyang Zhu, Jingbo Jiang, Xizi Chen +1
Contemporary Deep Neural Network (DNN) contains millions of synaptic connections with tens to hundreds of layers. The large computation and memory requirements pose a challenge to…