Publications

1827 results in 2023

FedExP: Speeding up Federated Averaging via Extrapolation
- - Divyansh Jhunjhunwala
  - Shiqiang Wang
  - et al.
- 2023
- ICLR 2023
What Is Missing in IRM Training and Evaluation? Challenges and Solutions
- - Yihua Zhang
  - Pranay Sharma
  - et al.
- 2023
- ICLR 2023
Understanding new tasks through the lens of training data via exponential tilting
- - Subha Maity
  - Mikhail Yurochkin
  - et al.
- 2023
- ICLR 2023
HDFL: A Heterogeneity and Client Dropout-Aware Federated Learning Framework
- - Syed Zawad
  - Ali Anwar
  - et al.
- 2023
- CCGrid 2023
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
- - Kaiyuan Zhang
  - Guanhong Tao
  - et al.
- 2023
- ICLR 2023
Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning
- - Zehao Niu
  - Mihai Anitescu
  - et al.
- 2023
- ICLR 2023
Sampling with Mollified Interaction Energy Descent
- - Lingxiao Li
  - Qiang Liu
  - et al.
- 2023
- ICLR 2023
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks
- - Shuai Zhang
  - Meng Weng
  - et al.
- 2023
- ICLR 2023
Min-Max Multi-objective Bilevel Optimization with Applications in Robust Machine Learning
- - Alex Gu
  - Songtao Lu
  - et al.
- 2023
- ICLR 2023
An Evaluation of Bath Life Effects on Photoresist Removal for Wafer Level Packaging
- - Joel A. Bahena
  - Phillip Tyler
  - et al.
- 2023
- Advancing Microelectronics