Chenghui Peng

According to our database1, Chenghui Peng authored at least 42 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
NetGPT: An AI-Native Network Architecture for Provisioning Beyond Personalized Generative Services.
IEEE Netw., November, 2024

RHFedMTL: Resource-Aware Hierarchical Federated Multitask Learning.
IEEE Internet Things J., July, 2024

SAM: An Efficient Approach With Selective Aggregation of Models in Federated Learning.
IEEE Internet Things J., June, 2024

Learning Channel Capacity With Neural Mutual Information Estimator Based on Message Importance Measure.
IEEE Trans. Commun., March, 2024

Task-Oriented 6G Native-AI Network Architecture.
IEEE Netw., January, 2024

Stochastic Graph Neural Network-Based Value Decomposition for MARL in Internet of Vehicles.
IEEE Trans. Veh. Technol., 2024

ISFL: Federated Learning for Non-i.i.d. Data With Local Importance Sampling.
IEEE Internet Things J., 2024

Snake Learning: A Communication- and Computation-Efficient Distributed Learning Framework for 6G.
CoRR, 2024

FedNC: A Secure and Efficient Federated Learning Method with Network Coding.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

QML-IB: Quantized Collaborative Intelligence between Multiple Devices and the Mobile Network.
Proceedings of the IEEE International Symposium on Information Theory, 2024

Deep Conditional Generative Semantic Communication for Image Transmission.
Proceedings of the IEEE International Conference on Communications Workshops, 2024

Towards Efficient Federated Learning Framework via Selective Aggregation of Models.
Proceedings of the IEEE International Conference on Communications Workshops, 2024

2023
Integrated Communication and Computing Maritime Networks Design for Green Metaverse.
IEEE Wirel. Commun., October, 2023

6G Network AI Architecture for Everyone-Centric Customized Services.
IEEE Netw., September, 2023

Towards Efficient Federated Learning: Layer-Wise Pruning-Quantization Scheme and Coding Design.
Entropy, August, 2023

How Global Observation Works in Federated Learning: Integrating Vertical Training Into Horizontal Federated Learning.
IEEE Internet Things J., June, 2023

Ten issues of NetGPT.
CoRR, 2023

NetGPT: A Native-AI Network Architecture Beyond Provisioning Personalized Generative Services.
CoRR, 2023

RHFedMTL: Resource-Aware Hierarchical Federated Multi-Task Learning.
CoRR, 2023

FedNC: A Secure and Efficient Federated Learning Method Inspired by Network Coding.
CoRR, 2023

Towards Native Support for Federated Learning in 6G.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

Stochastic Graph Neural Network-Based Value Decomposition for Multi-Agent Reinforcement Learning in Urban Traffic Control.
Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

FedLP: Layer-Wise Pruning Mechanism for Communication-Computation Efficient Federated Learning.
Proceedings of the IEEE International Conference on Communications, 2023

Enhanced Federated Learning on Non-Iid Data via Local Importance Sampling.
Proceedings of the IEEE International Conference on Communications, 2023

Communication-Efficient Cooperative Multi-Agent PPO via Regulated Segment Mixture in Internet of Vehicles.
Proceedings of the IEEE Global Communications Conference, 2023

2022
Semantic Communication With Adaptive Universal Transformer.
IEEE Wirel. Commun. Lett., 2022

ISFL: Trustworthy Federated Learning for Non-i.i.d. Data with Local Importance Sampling.
CoRR, 2022

HFedMTL: Hierarchical Federated Multi-Task Learning.
Proceedings of the 2022 IEEE 33rd Annual International Symposium on Personal, 2022

How Global Observation embedding in Vertical-Horizontal Federated Learning.
Proceedings of the 2022 International Wireless Communications and Mobile Computing, 2022

2021
Convergence Analysis and System Design for Federated Learning Over Wireless Networks.
IEEE J. Sel. Areas Commun., 2021

How global observation works in Federated Learning: Integrating vertical training into Horizontal Federated Learning.
CoRR, 2021

Toward Native Artificial Intelligence in 6G Networks: System Design, Architectures, and Paradigms.
CoRR, 2021

Convergence analysis and Design principle for Federated learning in Wireless network.
Proceedings of the IEEE Global Communications Conference, 2021

Network AI Management & Orchestration: A Federated Multi-task Learning Case.
Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021

2018
LAA as a Key Enabler in Slice-Aware 5G RAN: Challenges and Opportunities.
IEEE Commun. Stand. Mag., 2018

2017
Selection and Dimensioning of Slice-Based RAN Controller for Adaptive Radio Resource Management.
Proceedings of the 2017 IEEE Wireless Communications and Networking Conference, 2017

2015
5G wireless network: MyNET and SONAC.
IEEE Netw., 2015

2014
SDN-enabled converged networks.
IEEE Wirel. Commun., 2014

2012
Global Resolution Service for mobility support in the internet.
Proceedings of the 20th IEEE International Conference on Network Protocols, 2012

A multimedia service migration protocol for single user multiple devices.
Proceedings of IEEE International Conference on Communications, 2012

2011
UNA: a new internet architecture for user-level multi-homing and mobility.
Proceedings of the 6th International Conference on Future Internet Technologies, 2011

2010
User ID Routing Architecture.
IEEE Veh. Technol. Mag., 2010


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