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- 2023
- ECTC 2023
Conference paper
Publications
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- 2023
- ICLR 2023
Conference paperFedExP: Speeding up Federated Averaging via Extrapolation
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- 2023
- ICLR 2023
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- 2023
- ICLR 2023
Conference paperFLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
- Kaiyuan Zhang
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- 2023
- ICLR 2023
Conference paperJoint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks
- Shuai Zhang
- Meng Weng
- et al.
- 2023
- ICLR 2023
Conference paperA Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity
- Hongkang Li
- Meng Weng
- et al.
- 2023
- ICLR 2023
Conference paperNeural-based classification rule learning for sequential data
- Marine Collery
- Philippe Bonnard
- et al.
- 2023
- ICLR 2023
Conference paperSymmetries, flat minima, and the conserved quantities of gradient flow
- Bo Zhao
- Iordan Ganev
- et al.
- 2023
- ICLR 2023
Conference paperGraph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning
- Zehao Niu
- Mihai Anitescu
- et al.
- 2023
- ICLR 2023
Conference paper