Guocheng Liao

According to our database, Guocheng Liao authored at least 21 papers between 2017 and 2025.

Collaborative distances:

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

2025

Participation-Dependent Privacy Preservation in Cross-Silo Federated Learning.

Yanling Qin, Xiangping Zheng, Qian Ma, Guocheng Liao, Xu Chen

IEEE Trans. Serv. Comput., 2025

SCAMA: A Smart-Contract-Driven Asynchronous Model Aggregation Framework for Decentralized Federated Learning.

Mingzhi Mao, Xiangyuan Zhu, Jianguo Chen, Longxin Zhang, Guocheng Liao, Zulong Diao

Proceedings of the 11th IEEE International Conference on High Performance and Smart Computing, 2025

2024

Optimal Mechanism Design for Heterogeneous Client Sampling in Federated Learning.

Guocheng Liao, Bing Luo, Yutong Feng, Meng Zhang, Xu Chen

IEEE Trans. Mob. Comput., November, 2024

Online Optimization of DNN Inference Network Utility in Collaborative Edge Computing.

Rui Li, Tao Ouyang, Liekang Zeng, Guocheng Liao, Zhi Zhou, Xu Chen

IEEE/ACM Trans. Netw., October, 2024

Game Analysis and Incentive Mechanism Design for Differentially Private Cross-Silo Federated Learning.

Wuxing Mao, Qian Ma, Guocheng Liao, Xu Chen

IEEE Trans. Mob. Comput., October, 2024

A Socially Optimal Data Marketplace With Differentially Private Federated Learning.

Peng Sun, Guocheng Liao, Xu Chen, Jianwei Huang

IEEE/ACM Trans. Netw., June, 2024

Roulette: A Semantic Privacy-Preserving Device-Edge Collaborative Inference Framework for Deep Learning Classification Tasks.

Jingyi Li, Guocheng Liao, Lin Chen, Xu Chen

IEEE Trans. Mob. Comput., May, 2024

Differentially Private Auction Design for Federated Learning With non-IID Data.

Kean Ren, Guocheng Liao, Qian Ma, Xu Chen

IEEE Trans. Serv. Comput., 2024

The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition.

Guocheng Liao, Yu Su, Juba Ziani, Adam Wierman, Jianwei Huang

Math. Oper. Res., 2024

Age-minimal Multicast by Graph Attention Reinforcement Learning.

Yanning Zhang, Guocheng Liao, Shengbin Cao, Ning Yang, Meng Zhang

CoRR, 2024

NBS-Based Mobile Edge Computing: A Joint Optimization of QoS and Energy in Computation Offloading.

Zhihao Peng, Guocheng Liao

Proceedings of the Network and Parallel Computing, 2024

Adaptive Privacy Budget Allocation in Federated Learning: A Multi-Agent Reinforcement Learning Approach.

Zejian Chen, Guocheng Liao, Qian Ma, Xu Chen

Proceedings of the IEEE International Conference on Communications, 2024

2023

Privacy Protection Under Incomplete Social and Data Correlation Information.

Guocheng Liao, Xu Chen, Jianwei Huang

IEEE/ACM Trans. Netw., December, 2023

2022

Privacy-Aware Online Social Networking With Targeted Advertisement.

Guocheng Liao, Xu Chen, Jianwei Huang

IEEE/ACM Trans. Netw., 2022

Edge intelligence in motion: Mobility-aware dynamic DNN inference service migration with downtime in mobile edge computing.

Pu Wang, Tao Ouyang, Guocheng Liao, Jie Gong, Shuai Yu, Xu Chen

J. Syst. Archit., 2022

A Profit-Maximizing Model Marketplace with Differentially Private Federated Learning.

Peng Sun, Xu Chen, Guocheng Liao, Jianwei Huang

Proceedings of the IEEE INFOCOM 2022, 2022

2020

Social-Aware Privacy-Preserving Mechanism for Correlated Data.

Guocheng Liao, Xu Chen, Jianwei Huang

IEEE/ACM Trans. Netw., 2020

Prospect Theoretic Analysis of Privacy-Preserving Mechanism.

Guocheng Liao, Xu Chen, Jianwei Huang

IEEE/ACM Trans. Netw., 2020

Privacy Policy in Online Social Network with Targeted Advertising Business.

Guocheng Liao, Xu Chen, Jianwei Huang

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

2018

Social-Aware Privacy-Preserving Correlated Data Collection.

Guocheng Liao, Xu Chen, Jianwei Huang

Proceedings of the Nineteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2018

2017

Optimal Privacy-Preserving Data Collection: A Prospect Theory Perspective.

Guocheng Liao, Xu Chen, Jianwei Huang

Proceedings of the 2017 IEEE Global Communications Conference, 2017