63 citations · 70 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 5 cited
Federated Skewed Label Learning with Logits Fusion
Yuwei Wang, Runhan Li, Hao Tan +5
Federated learning (FL) aims to collaboratively train a shared model across multiple clients without transmitting their local data. Data heterogeneity is a critical challenge in re…
cs.LG2022★ 63 cited
Towards Federated Learning against Noisy Labels via Local Self-Regularization
Xuefeng Jiang, Sheng Sun, Yuwei Wang +1
Federated learning (FL) aims to learn joint knowledge from a large scale of decentralized devices with labeled data in a privacy-preserving manner. However, since high-quality labe…
astro-ph.IM2017★ 2 cited
AstroCloud: A Distributed Cloud Computing and Application Platform for Astronomy
Chenzhou Cui, Boliang He, Ce Yu +28
Virtual Observatory (VO) is a data-intensively online astronomical research and education environment, which takes advantages of advanced information technologies to achieve seamle…