2 papers
cs.LG2025
Identifying the Truth of Global Model: A Generic Solution to Defend Against Byzantine and Backdoor Attacks in Federated Learning (full version)
Sheldon C. Ebron, Meiying Zhang, Kan Yang
Federated Learning (FL) enables multiple parties to train machine learning models collaboratively without sharing the raw training data. However, the federated nature of FL enables…
cs.CR2024
A Sharded Blockchain-Based Secure Federated Learning Framework for LEO Satellite Networks
Wenbo Wu, Cheng Tan, Kangcheng Yang +3
Low Earth Orbit (LEO) satellite networks are increasingly essential for space-based artificial intelligence (AI) applications. However, as commercial use expands, LEO satellite net…