2 citations · 2 across the 5 of their papers we have counts for
5 papers
Federated Spectrum Learning for Reconfigurable Intelligent Surfaces-Aided Wireless Edge Networks
Bo Yang, Xuelin Cao, Chongwen Huang +6
Increasing concerns on intelligent spectrum sensing call for efficient training and inference technologies. In this paper, we propose a novel federated learning (FL) framework, dub…
Effect of Batch Normalization on Noise Resistant Property of Deep Learning Models
Omobayode Fagbohungbe, Lijun Qian
The fast execution speed and energy efficiency of analog hardware has made them a strong contender for deployment of deep learning model at the edge. However, there are concerns ab…
Impact of Learning Rate on Noise Resistant Property of Deep Learning Models
Omobayode Fagbohungbe, Lijun Qian
The interest in analog computation has grown tremendously in recent years due to its fast computation speed and excellent energy efficiency, which is very important for edge and Io…
Impact of L1 Batch Normalization on Analog Noise Resistant Property of Deep Learning Models
Omobayode Fagbohungbe, Lijun Qian
Analog hardware has become a popular choice for machine learning on resource-constrained devices recently due to its fast execution and energy efficiency. However, the inherent pre…
Integrating Human-in-the-loop into Swarm Learning for Decentralized Fake News Detection
Xishuang Dong, Lijun Qian
Social media has become an effective platform to generate and spread fake news that can mislead people and even distort public opinion. Centralized methods for fake news detection,…