Publications

See Google Scholar for a comprehensive list of publications.

Preprints:

• FedPT: Federated Proxy-Tuning of Large Language Models on Resource-Constrained Edge Devices
  Zhidong Gao, Yu Zhang, Zhenxiao Zhang, Yanmin Gong, Yuanxiong Guo
  arXiv, 2024 Paper

• Heterogeneity-Aware Resource Allocation and Topology Design for Hierarchical Federated Edge Learning
  Zhidong Gao, Yu Zhang, Yanmin Gong, Yuanxiong Guo
  arXiv, 2024 Paper

• Online Client Scheduling and Resource Allocation for Efficient Federated Edge Learning
  Zhidong Gao, Zhenxiao Zhang, Yu Zhang, Tongnian Wang, Yanmin Gong, Yuanxiong Guo
  arXiv, 2024 Paper

• Heterogeneity-Aware Cooperative Federated Edge Learning with Adaptive Computation and Communication Compression
  Zhenxiao Zhang, Zhidong Gao, Yuanxiong Guo, Yanmin Gong
  arXiv, 2024 Paper

Journals:

• FedHIP: Federated learning for privacy-preserving human intention prediction in human-robot collaborative assembly tasks
  Cai, Jiannan, Zhidong Gao, Yuanxiong Guo, Bastian Wibranek, and Shuai Li
  Advanced Engineering Informatics 60 (2024) Paper

• Scalable and Low-Latency Federated Learning with Cooperative Mobile Edge Networking
  Zhang Zhenxiao^*, Zhidong Gao^*, Yuanxiong Guo, and Yanmin Gong
  IEEE Transactions on Mobile Computing (TMC) (2022). Paper

Conferences:

• Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation
  Yeh, Shih-Ying^*, Yu-Guan Hsieh^*, Zhidong Gao^*, Bernard BW Yang, Giyeong Oh, and Yanmin Gong
  International Conference on Learning Representations (ICLR), 2024 Paper Code

• One Node Per User: Node-Level Federated Learning for Graph Neural Networks
  Zhidong Gao, Yuanxiong Guo, and Yanmin Gong
  In NeurIPS 2023 Workshop: New Frontiers in Graph Learning. Paper

• Certified Robustness of Graph Classification against Topology Attack with Randomized Smoothing
  Zhidong Gao, Rui Hu, and Yanmin Gong
  IEEE GLOBECOM 2020. Paper