Naifu Zhang

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 23

Top Topics

Distributed Learning

Top Venues

Publications

Zhiguang Feng, Rui-Bing Li, Naifu Zhang, Ligang Wu
Event-Based Asymptotic Tracking Control for Constrained MIMO Nonlinear Systems via a Single-Parameter Adaptation Method. IEEE Trans. Syst. Man Cybern. Syst. 53 (12) (2023)
Dong Wang, Naifu Zhang, Meixia Tao, Xu Chen
Knowledge Selection and Local Updating Optimization for Federated Knowledge Distillation With Heterogeneous Models. IEEE J. Sel. Top. Signal Process. 17 (1) (2023)
Naifu Zhang, Meixia Tao, Jia Wang, Shuo Shao
Coded Over-the-Air Computation for Model Aggregation in Federated Learning. IEEE Commun. Lett. 27 (1) (2023)
Naifu Zhang, Meixia Tao, Jia Wang, Fan Xu
Fundamental Limits of Communication Efficiency for Model Aggregation in Distributed Learning: A Rate-Distortion Approach. IEEE Trans. Commun. 71 (1) (2023)
Naifu Zhang, Meixia Tao
A Low-Complexity and Adaptive Distributed Source Coding Design for Model Aggregation in Distributed Learning. IEEE Open J. Commun. Soc. 3 (2022)
Jialing Chang, Naifu Zhang, Meixia Tao, Hu Tuo
Federated Multi-Agent Reinforcement Learning for Collaborative Edge Caching in Content Delivery Networks. WCSP (2022)
Naifu Zhang, Meixia Tao, Jia Wang, Fan Xu
Fundamental Limits of Communication Efficiency for Model Aggregation in Distributed Learning: A Rate-Distortion Approach. CoRR (2022)
Dong Wang, Naifu Zhang, Meixia Tao
Adaptive Clustering-Based Model Aggregation for Federated Learning with Imbalanced Data. SPAWC (2021)
Naifu Zhang, Meixia Tao
Gradient Statistics Aware Power Control for Over-the-Air Federated Learning. IEEE Trans. Wirel. Commun. 20 (8) (2021)
Naifu Zhang, Nicholas Capel
LEOC: A Principled Method in Integrating Reinforcement Learning and Classical Control Theory. L4DC (2021)
Naifu Zhang, Meixia Tao
An Adaptive Distributed Source Coding Design for Distributed Learning. WCSP (2021)
Naifu Zhang, Meixia Tao, Jia Wang
Rate Region for Indirect Multiterminal Source Coding in Federated Learning. CoRR (2021)
Naifu Zhang, Meixia Tao, Jia Wang
Sum-Rate-Distortion Function for Indirect Multiterminal Source Coding in Federated Learning. ISIT (2021)
Yuhong Deng, Di Guo, Xiaofeng Guo, Naifu Zhang, Huaping Liu, Fuchun Sun
MQA: Answering the Question via Robotic Manipulation. Robotics: Science and Systems (2021)
Naifu Zhang, Xiaohe Yu, Xinchao Zhang, Sheena D'arcy
HD-eXplosion: visualization of hydrogen-deuterium exchange data as chiclet and volcano plots with statistical filtering. Bioinform. 37 (13) (2021)
Nicholas Capel, Naifu Zhang
Extended Radial Basis Function Controller for Reinforcement Learning. CoRR (2020)
Naifu Zhang, Meixia Tao
Gradient Statistics Aware Power Control for Over-the-Air Federated Learning in Fading Channels. CoRR (2020)
Naifu Zhang, Meixia Tao
Gradient Statistics Aware Power Control for Over-the-Air Federated Learning in Fading Channels. ICC Workshops (2020)
Yuhong Deng, Naifu Zhang, Di Guo, Huaping Liu, Fuchun Sun, Chen Pang, Jing Pang
MQA: Answering the Question via Robotic Manipulation. CoRR (2020)
Shengqi Hao, Naifu Zhang, Meixia Tao
A Belief Propagation Approach for Caching Strategy Design in D2D Networks. ICC Workshops (2018)
Naifu Zhang, Kaibin Zheng, Meixia Tao
Using Grouped Linear Prediction and Accelerated Reinforcement Learning for Online Content Caching. ICC Workshops (2018)
Naifu Zhang, Kaibin Zheng, Meixia Tao
Using Grouped Linear Prediction and Accelerated Reinforcement Learning for Online Content Caching. CoRR (2018)
Naifu Zhang, Meixia Tao
Fitness-Aware Coded Multicasting for Decentralized Caching With Finite File Packetization. IEEE Wirel. Commun. Lett. 7 (5) (2018)