2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Robust Federated Learning Over the Air: Combating Heavy-Tailed Noise with Median Anchored Clipping
Jiaxing Li, Zihan Chen, Kai Fong Ernest Chong +3
Leveraging over-the-air computations for model aggregation is an effective approach to cope with the communication bottleneck in federated edge learning. By exploiting the superpos…
cs.LG2024★ 2 cited
Spectral Co-Distillation for Personalized Federated Learning
Zihan Chen, Howard H. Yang, Tony Q. S. Quek +1
Personalized federated learning (PFL) has been widely investigated to address the challenge of data heterogeneity, especially when a single generic model is inadequate in satisfyin…
cs.NI2023
The Role of Federated Learning in a Wireless World with Foundation Models
Zihan Chen, Howard H. Yang, Y. C. Tay +2
Foundation models (FMs) are general-purpose artificial intelligence (AI) models that have recently enabled multiple brand-new generative AI applications. The rapid advances in FMs…