Zhidong Gao

According to our database, Zhidong Gao authored at least 14 papers between 2020 and 2026.

Collaborative distances:

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

2026

Online Client Scheduling and Resource Allocation for Efficient Federated Edge Learning.

Yu Zhang, Zhidong Gao, Zhenxiao Zhang, Tongnian Wang, Yanmin Gong, Yuanxiong Guo

IEEE Trans. Veh. Technol., March, 2026

2025

Delta Sampling: Data-Free Knowledge Transfer Across Diffusion Models.

Zhidong Gao, Zimeng Pan, Yuhang Yao, Chenyue Xie, Wei Wei

CoRR, December, 2025

Heterogeneity-Aware Resource Allocation and Topology Design for Hierarchical Federated Edge Learning.

Zhidong Gao, Zhenxiao Zhang, Yu Zhang, Yanmin Gong, Yuanxiong Guo

IEEE Internet Things J., October, 2025

Goal-Guided Efficient Exploration via Large Language Model in Reinforcement Learning.

Yajie Qi, Wei Wei, Lin Li, Lijun Zhang, Zhidong Gao, Da Wang, Huizhong Song

CoRR, September, 2025

Heterogeneity-Aware Cooperative Federated Edge Learning With Adaptive Computation and Communication Compression.

Zhenxiao Zhang, Zhidong Gao, Yuanxiong Guo, Yanmin Gong

IEEE Trans. Mob. Comput., March, 2025

Federated Adaptive Fine-Tuning of Large Language Models with Heterogeneous Quantization and LoRA.

Zhidong Gao, Zhenxiao Zhang, Yuanxiong Guo, Yanmin Gong

Proceedings of the IEEE INFOCOM 2025, 2025

2024

Scalable and Low-Latency Federated Learning With Cooperative Mobile Edge Networking.

Zhenxiao Zhang, Zhidong Gao, Yuanxiong Guo, Yanmin Gong

IEEE Trans. Mob. Comput., January, 2024

FedPT: Federated Proxy-Tuning of Large Language Models on Resource-Constrained Edge Devices.

Zhidong Gao, Yu Zhang, Zhenxiao Zhang, Yanmin Gong, Yuanxiong Guo

CoRR, 2024

One Node Per User: Node-Level Federated Learning for Graph Neural Networks.

Zhidong Gao, Yuanxiong Guo, Yanmin Gong

CoRR, 2024

Heterogeneity-Aware Resource Allocation and Topology Design for Hierarchical Federated Edge Learning.

Zhidong Gao, Yu Zhang, Yanmin Gong, Yuanxiong Guo

CoRR, 2024

FedHIP: Federated learning for privacy-preserving human intention prediction in human-robot collaborative assembly tasks.

Jiannan Cai, Zhidong Gao, Yuanxiong Guo, Bastian Wibranek, Shuai Li

Adv. Eng. Informatics, 2024

Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation.

Shih-Ying Yeh, Yu-Guan Hsieh, Zhidong Gao, Bernard B. W. Yang, Giyeong Oh, Yanmin Gong

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation.

Shin-Ying Yeh, Yu-Guan Hsieh, Zhidong Gao, Bernard B. W. Yang, Giyeong Oh, Yanmin Gong

CoRR, 2023

2020

Certified Robustness of Graph Classification against Topology Attack with Randomized Smoothing.

Zhidong Gao, Rui Hu, Yanmin Gong

Proceedings of the IEEE Global Communications Conference, 2020