IEEE

EVMKA: Efficient and Verifiable Multi-Key Aggregation for Privacy-Preserving Federated Learning in Internet of Things

Abstract: Federated learning (FL), a distributed machine learning paradigm, has emerged as a promising framework for enhancing IoT security by preserving data privacy and alleviating bandwidth ...
Santa Clara University

HPC Machine Learning Tutorial

This tutorial is an adaptation of the NumPy Tutorial from Tensorflow.org. To run this tutorial, I assume you already have access to the WAVE HPC with a user account and the ability to open a terminal ...
IEEE

Zero-Knowledge Federated Learning: A New Trustworthy and Privacy-Preserving Distributed Learning Paradigm

Abstract: Federated Learning (FL) has emerged as a promising paradigm in distributed machine learning, enabling collaborative model training while preserving data privacy. FL still contends with ...