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

An Adaptive Service Function Chains Mapping With Multi-Task Deep Reinforcement Learning

Abstract: Network function virtualization (NFV) facilitates different virtual network functions (VNF) to be dynamically chained in sequence to offer new services in a flexible, scalable, and ...
Stars and Stripes

Army to ring in new year with new AI and machine learning career path for officers

A new career path for Army officers that focuses on artificial intelligence and machine learning further cements the service’s doctrinal shift toward cutting-edge technology and autonomous warfare.
IEEE

FedRDF: A Robust and Dynamic Aggregation Function Against Poisoning Attacks in Federated Learning

Abstract: Federated Learning (FL) represents a promising approach to typical privacy concerns associated with centralized Machine Learning (ML) deployments. Despite its well-known advantages, FL is ...