3 citations · 9 across the 5 of their papers we have counts for
5 papers
Leapfrogging Sycamore: Harnessing 1432 GPUs for 7 Faster Quantum Random Circuit Sampling
Xian-He Zhao, Han-Sen Zhong, Feng Pan +10
Random quantum circuit sampling serves as a benchmark to demonstrate quantum computational advantage. Recent progress in classical algorithms, especially those based on tensor netw…
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…
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data
Zikai Xiao, Zihan Chen, Liyinglan Liu +6
Federated Long-Tailed Learning (Fed-LT), a paradigm wherein data collected from decentralized local clients manifests a globally prevalent long-tailed distribution, has garnered co…
Personalizing Federated Learning with Over-the-Air Computations
Zihan Chen, Zeshen Li, Howard H. Yang +1
Federated edge learning is a promising technology to deploy intelligence at the edge of wireless networks in a privacy-preserving manner. Under such a setting, multiple clients col…
Towards Federated Long-Tailed Learning
Zihan Chen, Songshang Liu, Hualiang Wang +3
Data privacy and class imbalance are the norm rather than the exception in many machine learning tasks. Recent attempts have been launched to, on one side, address the problem of l…