Yan Zeng

Local Epochs Inefficiency Caused by Device Heterogeneity in Federated Learning

2022 · Wireless Communications and Mobile Computing

Federated learning is a new framework of machine learning, it trains models locally on multiple clients and then uploads local models to the server for model aggregation iteratively until the model converges. In most cases, …

DRACO: A Denoising-Reconstruction Autoencoder for Cryo-EM

2024 · arXiv (Cornell University)

Foundation models in computer vision have demonstrated exceptional performance in zero-shot and few-shot tasks by extracting multi-purpose features from large-scale datasets through self-supervised pre-training methods. However, these models often overlook the severe corruption in cryogenic …