Yutong Dai

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 8

Top Topics

Global Knowledge

Variational Bayes

Stochastic Optimization Problems

Gradient Method

Top Venues

IEEE Trans. Computers

Publications

Dezhong Yao, Wanning Pan, Yutong Dai, Yao Wan, Xiaofeng Ding, Chen Yu, Hai Jin, Zheng Xu, Lichao Sun
: Toward Heterogeneous Federated Learning via Global Knowledge Distillation. IEEE Trans. Computers 73 (1) (2024)
Dezhong Yao, Sanmu Li, Yutong Dai, Zhiqiang Xu, Shengshan Hu, Peilin Zhao, Lichao Sun
Variational Bayes for Federated Continual Learning. CoRR (2024)
Jun Yu, Yutong Dai, Xiaokang Liu, Jin Huang, Yishan Shen, Ke Zhang, Rong Zhou, Eashan Adhikarla, Wenxuan Ye, Yixin Liu, Zhaoming Kong, Kai Zhang, Yilong Yin, Vinod Namboodiri, Brian D. Davison, Jason H. Moore, Yong Chen
Unleashing the Power of Multi-Task Learning: A Comprehensive Survey Spanning Traditional, Deep, and Pretrained Foundation Model Eras. CoRR (2024)
Yutong Dai, Zeyuan Chen, Junnan Li, Shelby Heinecke, Lichao Sun, Ran Xu
Tackling Data Heterogeneity in Federated Learning with Class Prototypes. AAAI (2023)
Yixin Liu, Chenrui Fan, Yutong Dai, Xun Chen, Pan Zhou, Lichao Sun
Toward Robust Imperceptible Perturbation against Unauthorized Text-to-image Diffusion-based Synthesis. CoRR (2023)
Yutong Dai, Guanyi Wang, Frank E. Curtis, Daniel P. Robinson
A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization. AISTATS (2023)
Yutong Dai, Tianyi Chen, Guanyi Wang, Daniel P. Robinson
An Adaptive Half-Space Projection Method for Stochastic Optimization Problems with Group Sparse Regularization. Trans. Mach. Learn. Res. 2023 (2023)
Yutong Dai, Zeyuan Chen, Junnan Li, Shelby Heinecke, Lichao Sun, Ran Xu
Tackling Data Heterogeneity in Federated Learning with Class Prototypes. CoRR (2022)