A Safe Deep Reinforcement Learning Approach for Energy Efficient Federated Learning in Wireless Communication Networks

no code implementations • 21 Aug 2023 • Nikolaos Koursioumpas, Lina Magoula, Nikolaos Petropouleas, Alexandros-Ioannis Thanopoulos, Theodora Panagea, Nancy Alonistioti, M. A. Gutierrez-Estevez, Ramin Khalili

Progressing towards a new era of Artificial Intelligence (AI) - enabled wireless networks, concerns regarding the environmental impact of AI have been raised both in industry and academia.

Federated Learning Privacy Preserving +1

A Safe Genetic Algorithm Approach for Energy Efficient Federated Learning in Wireless Communication Networks

no code implementations • 25 Jun 2023 • Lina Magoula, Nikolaos Koursioumpas, Alexandros-Ioannis Thanopoulos, Theodora Panagea, Nikolaos Petropouleas, M. A. Gutierrez-Estevez, Ramin Khalili

Federated Learning (FL) has emerged as a decentralized technique, where contrary to traditional centralized approaches, devices perform a model training in a collaborative manner, while preserving data privacy.

Federated Learning Total Energy