GitHub

Towards compute-efficient Byzantine-robust federated learning with fully homomorphic encryption

This repo is the official repo for Towards compute-efficient Byzantine-robust federated learning with fully homomorphic encryption. To evaluate Lancelot, we first install HomoMul GPU Accelerator ...
IEEE

A Comprehensive Review of Cryptographic Techniques in Federated Learning for Secure Data Sharing and Applications

Abstract: The demand for secure data sharing is growing fast in sensitive domains like healthcare, finance, and IoT. Federated Learning (FL) introduces a decentralised machine learning paradigm ...
KLTN

Local Learning Hub working to give busy families an easy route to obtain their CNA certification

LINCOLN, Neb. (KLKN) — The Certified Nursing Assistant Learning Hub rolled out a way for busy families to stay on top of their studies. The month-long program is for those who might not have the time ...
Hosted on MSN

Local response normalization (LRN) in deep learning – simplified!

Understand Local Response Normalization (LRN) in deep learning: what it is, why it was introduced, and how it works in convolutional neural networks. This tutorial explains the intuition, mathematical ...
IEEE

GCFL: A Gradient Correction-Based Federated Learning Framework for Privacy-Preserving CPSS

Abstract: Federated learning, as a distributed architecture, shows great promise for applications in cyber-physical-social systems (CPSS). To mitigate the privacy risks inherent in CPSS, the ...