Publications

99 results for Shiqiang Wang

DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations
- - Guojun Xiong
  - Gang Yan
  - et al.
- 2024
- AAAI 2024
Communication-Efficient Hybrid Federated Learning for E-Health With Horizontal and Vertical Data Partitioning
- - Chong Yu
  - Shuaiqi Shen
  - et al.
- 2024
- IEEE TNNLS
Adaptive Heterogeneous Client Sampling for Federated Learning Over Wireless Networks
- - Bing Luo
  - Wenli Xiao
  - et al.
- 2024
- IEEE TMC
International Workshop on Federated Learning in the Age of Foundation Models
- - Jinghui Chen
  - Lixin Fan
  - et al.
- 2023
- NeurIPS 2023
StableFDG: Style and Attention Based Learning for Federated Domain Generalization
- - Jungwuk Park
  - Dong-jun Han
  - et al.
- 2023
- NeurIPS 2023
Federated Learning and Analytics in Practice: Algorithms, Systems, Applications, and Opportunities
- - Zheng Xu
  - Peter Kairouz
  - et al.
- 2023
- ICML 2023
A New Theoretical Perspective on Data Heterogeneity in Federated Optimization
- - Jiayi Wang
  - Shiqiang Wang
  - et al.
- 2023
- ICML 2023
Towards a Theoretical and Practical Understanding of One-Shot Federated Learning with Fisher Information
- - Divyansh Jhunjhunwala
  - Shiqiang Wang
  - et al.
- 2023
- ICML 2023
LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning
- - Timothy Castiglia
  - Yi Zhou
  - et al.
- 2023
- ICML 2023
Incentive Mechanism Design for Unbiased Federated Learning with Randomized Client Participation
- - Bing Luo
  - Yutong Feng
  - et al.
- 2023
- ICDCS 2023