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Invited Paper Session

Learning from Decentralized Heterogeneous Data: Robustness and Adaptivity

Thu, Aug 6, 8:30 AM - 10:20 AM Room CC-253A Thomas M. Menino Convention & Exhibition Center

Jiaming XuOrganizerLili SuChairPengkun YangOrganizerLili SuOrganizer

IMS co: No Additional Sponsorco: No Additional Sponsor

4 Presentations

Differentially private PCA and tensor learning

9:50 AM - 10:15 AM

Dong Xia (Hong Kong University of Science and Technology)

Differential privacy Tensor methods Power iterations Minimax optimality

Fine-tuning Factor Augmented Neural Lasso for Heterogeneous Environments

8:35 AM - 9:00 AM

Jianqing Fan (Princeton University)

Transfer Learning Neural networks FAST-NN Factor augmentation Model Shifts Covariate Shifts

Optimality Theory for Adaptive Federated Estimation under Differential Privacy

9:25 AM - 9:50 AM

Lasse Vuursteen (University of Pennsylvania)

Federated learning Adaptation Differential Privacy Minimax theory Distributed inference

Sample Complexity of Average-Reward Q-Learning: From Single-agent to Federated Reinforcement Learning

9:00 AM - 9:25 AM

Yuejie Chi (Yale University)

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