Hierarchical Federated Learning with Multi-Timescale Gradient Correction
- Wenzhi Fang
- Dong-jun Han
- et al.
- 2024
- NeurIPS 2024
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91 results for Shiqiang Wang
A New Theoretical Perspective on Data Heterogeneity in Federated Averaging
- Jiayi Wang
- Shiqiang Wang
- et al.
- 2024
- ICML 2024
FADAS: Towards Federated Adaptive Asynchronous Optimization
- Yujia Wang
- Shiqiang Wang
- et al.
- 2024
- ICML 2024
Taming subnet-drift in D2D-enabled fog learning: a hierarchical gradient tracking approach
- Evan Chen
- Shiqiang Wang
- et al.
- 2024
- INFOCOM 2024
Federated Learning While Providing Model as a Service: Joint Training and Inference Optimization
- Pengchao Han
- Shiqiang Wang
- et al.
- 2024
- INFOCOM 2024
A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging
- Shiqiang Wang
- Mingyue Ji
- 2024
- ICLR 2024
DePRL: achieving linear convergence speedup in personalized decentralized learning with shared representations
- Guojun Xiong
- Gang Yan
- et al.
- 2024
- AAAI 2024
StableFDG: Style and Attention Based Learning for Federated Domain Generalization
- Jungwuk Park
- Dong-jun Han
- et al.
- 2023
- NeurIPS 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