A federated graph learning method to realize multi-party collaboration for molecular discovery
LeCun, Y., Bengio, Y. & Hinton, G. Deep learning. Nature 521, 436–444 (2015).Article Google Scholar Abramson, J. et al. Accurate...
federated
DGIST and Stanford University jointly develop one-shot federated learning AI technique combining privacy protection and efficiency
image: One-shot federated learning AI technology model structure view more Credit: One-shot federated learning AI technology model structure □ A research...
Efficient Byzantine-Robust Federated Learning with Homomorphic Encryption
In the rapidly evolving landscape of machine learning, federated learning (FL) has emerged as a crucial paradigm, particularly in regulated...
HtFLlib: A Unified Benchmarking Library for Evaluating Heterogeneous Federated Learning Methods Across Modalities
AI institutions develop heterogeneous models for specific tasks but face data scarcity challenges during training. Traditional Federated Learning (FL) supports...
Federated learning with integrated attention multiscale model for brain tumor segmentation
This section offers a comprehensive summary of the proposed research and also outlines the procedures for data preparation, preprocessing, and...
A comprehensive survey of federated transfer learning: Challenges, methods and applications
The challenges of FTL. Credit: Wei Guo, Fuzhen Zhuang, Xiao Zhang, Yiqi Tong, Jin Dong Federated Learning (FL) has gained...
