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  • 2026-07-11 [Saturday]
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2026-07-11 (Saturday)

Libo Room (UTC+8)

13:30-15:10 (UTC+8) | Federated Learning and Statistical Data Privacy
NO. Beijing Time (UTC+8) Type Presentation Topic Speaker Affiliation / Organization
1 13:30-13:55 Invited Talk

Learning Sparse Support under Differential Privacy: Minimax Rates and Adaptive Algorithms

Jia Gu Zhejiang University
2 13:55-14:20 Invited Talk

Differentially Private Minimax and Adaptive Bandable Covariance Matrix Estimation

Yicheng Li East China Normal University
3 14:20-14:45 Invited Talk

Private Decentralized Federated Learning with Random Walk

Chendi Wang Xiamen University
4 14:45-15:10 Invited Talk

Statistical Inference for Differentially Private Stochastic Gradient Descent

Xintao Xia Zhejiang University
15:30-17:10 (UTC+8) | Trustworthy and Privacy-Preserving Statistical Learning
NO. Beijing Time (UTC+8) Type Presentation Topic Speaker Affiliation / Organization
1 15:30-15:55 Invited Talk

Knockoffs Inference under Privacy Constraints

Lan Gao University of Tennessee,Knoxville
2 15:55-16:20 Invited Talk

Training-Free Multi-Agent Language Models

Xiaowu Dai University of California, Los Angeles
3 16:20-16:45 Invited Talk

A Sparse Learning Framework for High-Dimensional Newsvendor under Privacy Constraints

Yichen Zhang Purdue University
4 16:45-17:10 Invited Talk

Adapting to Noise Tails in Private Linear Regression

Wenxin Zhou University of Illinois Chicago