1 citations · 2 across the 5 of their papers we have counts for
5 papers
CoCo-Fed: A Unified Framework for Memory- and Communication-Efficient Federated Learning at the Wireless Edge
Zhiheng Guo, Zhaoyang Liu, Zihan Cen +5
The deployment of large-scale neural networks within the Open Radio Access Network (O-RAN) architecture is pivotal for enabling native edge intelligence. However, this paradigm fac…
Meta-Reinforcement Learning With Mixture of Experts for Generalizable Multi Access in Heterogeneous Wireless Networks
Zhaoyang Liu, Xijun Wang, Chenyuan Feng +3
This paper focuses on spectrum sharing in heterogeneous wireless networks, where nodes with different Media Access Control (MAC) protocols to transmit data packets to a common acce…
Energy-Aware Random Access Networks: Connection-Based versus Packet-Based
Anshan Yuan, Fangming Zhao, Xinghua Sun
Characterizing and comparing the optimal energy efficiency in energy-aware machine-to-machine (M2M) random access networks remains a challenge due to the distributed nature of the…
Age-Threshold Slotted ALOHA for Optimizing Information Freshness in Mobile Networks
Fangming Zhao, Nikolaos Pappas, Chuan Ma +3
We optimize the Age of Information (AoI) in mobile networks using the age-threshold slotted ALOHA (TSA) protocol. The network comprises multiple source-destination pairs, where eac…
How Tiny Can Analog Filterbank Features Be Made for Ultra-low-power On-device Keyword Spotting?
Subhajit Ray, Xinghua Sun, Nolan Tremelling +2
Analog feature extraction is a power-efficient and re-emerging signal processing paradigm for implementing the front-end feature extractor in on device keyword-spotting systems. De…