Zhanting Zhou

According to our database, Zhanting Zhou authored at least 6 papers between 2023 and 2026.

Collaborative distances:

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

2026

TRU: Targeted Reverse Update for Efficient Multimodal Recommendation Unlearning.

Zhanting Zhou, KaHou Tam, Ziqiang Zheng, Zeyu Ma, Yang Yang

CoRR, April, 2026

A Survey on Federated Fine-Tuning of Large Language Models.

Yebo Wu, Chunlin Tian, Jingguang Li, He Sun, KaHou Tam, Zhanting Zhou, Haicheng Liao, Jing Xiong, Zhijiang Guo, Li Li, Cheng-Zhong Xu

Trans. Mach. Learn. Res., 2026

2025

FedIA: A Plug-and-Play Importance-Aware Gradient Pruning Aggregation Method for Domain-Robust Federated Graph Learning on Node Classification.

Zhanting Zhou, KaHou Tam, Zeqin Wu, Pengzhao Sun, Jinbo Wang, Fengli Zhang

CoRR, September, 2025

MAGIA: Sensing Per-Image Signals from Single-Round Averaged Gradients for Label-Inference-Free Gradient Inversion.

Zhanting Zhou, Jinbo Wang, Zeqin Wu, Fengli Zhang

CoRR, September, 2025

FedSSG: Expectation-Gated and History-Aware Drift Alignment for Federated Learning.

Zhanting Zhou, Jinshan Lai, Fengchun Zhang, Zeqin Wu, Fengli Zhang

CoRR, September, 2025

2023

HKTGNN: Hierarchical Knowledge Transferable Graph Neural Network-based Supply Chain Risk Assessment.

Zhanting Zhou, Kejun Bi, Yuyanzhen Zhong, Chao Tang, Dongfen Li, Shi Ying, Ruijin Wang

Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023