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572 results on '"Su, Lili"'

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1. Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability

2. Data-efficient Trajectory Prediction via Coreset Selection

3. Building Real-time Awareness of Out-of-distribution in Trajectory Prediction for Autonomous Vehicles

4. Reactive Multi-Robot Navigation in Outdoor Environments Through Uncertainty-Aware Active Learning of Human Preference Landscape

5. Collaborative Learning with Shared Linear Representations: Statistical Rates and Optimal Algorithms

6. On the Convergence Rates of Federated Q-Learning across Heterogeneous Environments

7. Fair Concurrent Training of Multiple Models in Federated Learning

8. Empowering Federated Learning with Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics

9. RSBuilding: Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation Model

10. Distributed Experimental Design Networks

11. Towards Safe Autonomy in Hybrid Traffic: Detecting Unpredictable Abnormal Behaviors of Human Drivers via Information Sharing

12. Network Fault-tolerant and Byzantine-resilient Social Learning via Collaborative Hierarchical Non-Bayesian Learning

13. Fast and Robust State Estimation and Tracking via Hierarchical Learning

14. Federated Learning in the Presence of Adversarial Client Unavailability

15. Towards Bias Correction of FedAvg over Nonuniform and Time-Varying Communications

17. Privacy-preserving and Uncertainty-aware Federated Trajectory Prediction for Connected Autonomous Vehicles

18. Nonlocalization of singular potentials in quantum dynamics

21. Distributed Non-Convex Optimization with One-Bit Compressors on Heterogeneous Data: Efficient and Resilient Algorithms

22. Global Convergence of Federated Learning for Mixed Regression

24. Experimental Design Networks: A Paradigm for Serving Heterogeneous Learners under Networking Constraints

26. The Power of Random Symmetry-Breaking in Nakamoto Consensus

32. A Non-parametric View of FedAvg and FedProx: Beyond Stationary Points

38. On Learning Over-parameterized Neural Networks: A Functional Approximation Perspective

39. Spike-Based Winner-Take-All Computation: Fundamental Limits and Order-Optimal Circuits

40. Distributed Learning with Adversarial Agents Under Relaxed Network Condition

43. Collaboratively Learning the Best Option on Graphs, Using Bounded Local Memory

46. Finite-time Guarantees for Byzantine-Resilient Distributed State Estimation with Noisy Measurements

47. Securing Distributed Gradient Descent in High Dimensional Statistical Learning

48. Collaboratively Learning the Best Option, Using Bounded Memory

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