IEEE

Fairness-Aware Incentive Mechanism for Multi-Server Federated Learning in Edge-Enabled Wireless Networks With Differential Privacy

Abstract: As a distributed machine learning method, federated learning (FL) can collaboratively train a global model with multiple devices without sharing the original data, thus protecting certain ...

Microsoft Confirms SQL Zero-Day Security Vulnerability—Here’s The Fix

Microsoft has confirmed that a hacker who successfully exploits a zero-day SQL vulnerability could gain system administrator privileges. Here’s how to fix it.
IEEE

FedMAR: A Privacy-Preserving and Robust Server-Side Multistage Federated Learning

Abstract: In recent years, federated learning (FL) has continued to evolve with the advent of big data and the large-language model (LLM), but it has also exposed numerous security and privacy issues.