Addressing Data Security in IoT: Minimum Sample Size and Denoising Diffusion Models for Improved Malware Detection
This paper investigates on how to define the miimum sample siz and improving the data agumentation for Traffic Images.
deep learning
Taming Bandwidth Bottlenecks in Federated Learning via ECN-based Gradient Compression
The paper addresses communication bottlenecks in Federated Learning and introduces Selective Compression via Adaptive Lightweight Protocol.