31 citations · 64 across the 9 of their papers we have counts for
9 papers
DACFL: Dynamic Average Consensus Based Federated Learning in Decentralized Topology
Zhikun Chen, Daofeng Li, Jinkang Zhu +1
Federated learning (FL) is a burgeoning distributed machine learning framework where a central parameter server (PS) coordinates many local users to train a globally consistent mod…
Resonant Beam Communications with Echo Interference Elimination
Mingliang Xiong, Qingwen Liu, Gang Wang +4
Resonant beam communications (RBCom) is capable of providing wide bandwidth when using light as the carrier. Besides, the RBCom system possesses the characteristics of mobility, hi…
Knowledge-Driven Machine Learning: Concept, Model and Case Study on Channel Estimation
Daofeng Li, Kaihe Deng, Ming Zhao +2
The power of big data and machine learning has been drastically demonstrated in many fields during the past twenty years which somehow leads to the vague even false understanding t…
Real Entropy Can Also Predict Daily Voice Traffic for Wireless Network Users
Sihai Zhang, Junyao Guo, Tian Lan +2
Voice traffic prediction is significant for network deployment optimization thus to improve the network efficiency. The real entropy based theorectical bound and corresponding pred…
Semi-Federated Learning
Zhikun Chen, Daofeng Li, Ming Zhao +2
Federated learning (FL) enables massive distributed Information and Communication Technology (ICT) devices to learn a global consensus model without any participants revealing thei…
Functional Gaussian Distribution Modelling of Mobility Prediction Accuracy for Wireless Users
Lu Liu, Wuyang Zhou, Sihai Zhang +1
Mobility entropy is proposed to measure predictability of human movements, based on which, the upper and lower bound of prediction accuracy is deduced, but corresponding mathematic…
A Stochastic Geometry Approach to Energy Efficiency in Relay-Assisted Cellular Networks
Na Deng, Sihai Zhang, Wuyang Zhou +1
Though cooperative relaying is believed to be a promising technology to improve the energy efficiency of cellular networks, the relays' static power consumption might worsen the en…
Traffic-Aware Relay Sleep Control to Improve Energy Efficiency in Joint Macro-Relay Networks
Na Deng, Ming Zhao, Sihai Zhang +1
In this letter, we consider a joint macro-relay network with densely deployed relay stations (RSs) and dynamically varied traffic load measured by the number of users. An energy-ef…
Combined Channel Aggregation and Fragmentation Strategy in Cognitive Radio Networks
Lei Li, Sihai Zhang, Kaiwei Wang +1
In cognitive radio networks, channel aggregation (CA) and channel fragmentation (CF) techniques have been proposed to enhance the spectrum utilization. While most of the literature…