10 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.CR2024★ 1 cited
Enhanced Real-Time Threat Detection in 5G Networks: A Self-Attention RNN Autoencoder Approach for Spectral Intrusion Analysis
Mohammadreza Kouchaki, Minglong Zhang, Aly S. Abdalla +3
In the rapidly evolving landscape of 5G technology, safeguarding Radio Frequency (RF) environments against sophisticated intrusions is paramount, especially in dynamic spectrum acc…
cs.LG2023
Communication Efficient and Privacy-Preserving Federated Learning Based on Evolution Strategies
Guangchen Lan
Federated learning (FL) is an emerging paradigm for training deep neural networks (DNNs) in distributed manners. Current FL approaches all suffer from high communication overhead a…
cs.LG2023★ 10 cited
Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates
Guangchen Lan, Han Wang, James Anderson +2
Federated reinforcement learning (FedRL) enables agents to collaboratively train a global policy without sharing their individual data. However, high communication overhead remains…