IEEE

Federated Learning Optimization for Mobile Edge Devices using Knowledge Distillation and Pruning

Abstract: Federated Learning (FL) is an important approach for decentralized machine learning in edge environments, enabling model training across distributed devices while preserving data privacy.

One reason to use Edge: It now teases new Windows features

Windows has always struggled to inform you of new features without overwhelming you with ads. I like this new approach.

Pythons are moving north in Florida. Is Brevard County next?

Pythons are spreading north in Florida, adapting to cold by using burrows. Scientists warn Brevard County is at risk.
IEEE

Privacy-Preserving Task Offloading in Vehicular Edge Computing Using Federated Multi-Agent Reinforcement Learning

Abstract: Vehicular edge computing (VEC) systems face critical challenges in balancing computational efficiency, task delay, and data privacy. This paper presents a Federated Multi-Agent Deep ...