Federated Learning and Analytics in Practice: Algorithms, Systems, Applications, and Opportunities
- Zheng Xu
- Peter Kairouz
- et al.
- 2023
- ICML 2023
Workshop
Publications
104 results for Shiqiang Wang
A New Theoretical Perspective on Data Heterogeneity in Federated Optimization
- Jiayi Wang
- Shiqiang Wang
- et al.
- 2023
- ICML 2023
Workshop paperTowards a Theoretical and Practical Understanding of One-Shot Federated Learning with Fisher Information
- Divyansh Jhunjhunwala
- Shiqiang Wang
- et al.
- 2023
- ICML 2023
Workshop paperLESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning
- Timothy Castiglia
- Yi Zhou
- et al.
- 2023
- ICML 2023
Conference paperIncentive Mechanism Design for Unbiased Federated Learning with Randomized Client Participation
- Bing Luo
- Yutong Feng
- et al.
- 2023
- ICDCS 2023
Conference paperGradient-based Uncertainty Attribution for Explainable Bayesian Deep Learning
- Hanjing Wang
- Dhiraj Joshi
- et al.
- 2023
- CVPR 2023
Conference paperFederated Learning with Flexible Control
- Shiqiang Wang
- Jake Perazzone
- et al.
- 2023
- INFOCOM 2023
Conference paperFedExP: Speeding up Federated Averaging via Extrapolation
- Divyansh Jhunjhunwala
- Shiqiang Wang
- et al.
- 2023
- ICLR 2023
Conference paperLaplacian Matrix Sampling for Communication- Efficient Decentralized Learning
- Cho-Chun Chiu
- Xusheng Zhang
- et al.
- 2023
- IEEE J-SAC
PaperUse Coupled LSTM Networks to Solve Constrained Optimization Problems
- Zheyu Chen
- Kin K. Leung
- et al.
- 2023
- IEEE TCCN
Paper