Naifu Zhang

According to our database, Naifu Zhang authored at least 20 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Event-Based Asymptotic Tracking Control for Constrained MIMO Nonlinear Systems via a Single-Parameter Adaptation Method.

Zhiguang Feng, Rui-Bing Li, Naifu Zhang, Ligang Wu

IEEE Trans. Syst. Man Cybern. Syst., December, 2023

Knowledge Selection and Local Updating Optimization for Federated Knowledge Distillation With Heterogeneous Models.

Dong Wang, Naifu Zhang, Meixia Tao, Xu Chen

IEEE J. Sel. Top. Signal Process., January, 2023

Coded Over-the-Air Computation for Model Aggregation in Federated Learning.

Naifu Zhang, Meixia Tao, Jia Wang, Shuo Shao

IEEE Commun. Lett., January, 2023

Fundamental Limits of Communication Efficiency for Model Aggregation in Distributed Learning: A Rate-Distortion Approach.

Naifu Zhang, Meixia Tao, Jia Wang, Fan Xu

IEEE Trans. Commun., 2023

2022

A Low-Complexity and Adaptive Distributed Source Coding Design for Model Aggregation in Distributed Learning.

Naifu Zhang, Meixia Tao

IEEE Open J. Commun. Soc., 2022

Federated Multi-Agent Reinforcement Learning for Collaborative Edge Caching in Content Delivery Networks.

Jialing Chang, Naifu Zhang, Meixia Tao, Hu Tuo

Proceedings of the 14th International Conference on Wireless Communications and Signal Processing, 2022

2021

Gradient Statistics Aware Power Control for Over-the-Air Federated Learning.

Naifu Zhang, Meixia Tao

IEEE Trans. Wirel. Commun., 2021

Rate Region for Indirect Multiterminal Source Coding in Federated Learning.

Naifu Zhang, Meixia Tao, Jia Wang

CoRR, 2021

HD-eXplosion: visualization of hydrogen-deuterium exchange data as chiclet and volcano plots with statistical filtering.

Naifu Zhang, Xiaohe Yu, Xinchao Zhang, Sheena D'arcy

Bioinform., 2021

An Adaptive Distributed Source Coding Design for Distributed Learning.

Naifu Zhang, Meixia Tao

Proceedings of the 13th International Conference on Wireless Communications and Signal Processing, 2021

Adaptive Clustering-Based Model Aggregation for Federated Learning with Imbalanced Data.

Dong Wang, Naifu Zhang, Meixia Tao

Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

MQA: Answering the Question via Robotic Manipulation.

Yuhong Deng, Di Guo, Xiaofeng Guo, Naifu Zhang, Huaping Liu, Fuchun Sun

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

LEOC: A Principled Method in Integrating Reinforcement Learning and Classical Control Theory.

Naifu Zhang, Nicholas Capel

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Sum-Rate-Distortion Function for Indirect Multiterminal Source Coding in Federated Learning.

Naifu Zhang, Meixia Tao, Jia Wang

Proceedings of the IEEE International Symposium on Information Theory, 2021

2020

Extended Radial Basis Function Controller for Reinforcement Learning.

Nicholas Capel, Naifu Zhang

CoRR, 2020

MQA: Answering the Question via Robotic Manipulation.

Yuhong Deng, Naifu Zhang, Di Guo, Huaping Liu, Fuchun Sun, Chen Pang, Jing Pang

CoRR, 2020

Gradient Statistics Aware Power Control for Over-the-Air Federated Learning in Fading Channels.

Naifu Zhang, Meixia Tao

Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

2018

Fitness-Aware Coded Multicasting for Decentralized Caching With Finite File Packetization.

Naifu Zhang, Meixia Tao

IEEE Wirel. Commun. Lett., 2018

Using Grouped Linear Prediction and Accelerated Reinforcement Learning for Online Content Caching.

Naifu Zhang, Kaibin Zheng, Meixia Tao

Proceedings of the 2018 IEEE International Conference on Communications Workshops, 2018

A Belief Propagation Approach for Caching Strategy Design in D2D Networks.

Shengqi Hao, Naifu Zhang, Meixia Tao

Proceedings of the 2018 IEEE International Conference on Communications Workshops, 2018