2 papers
cs.DC2023
Towards Benchmarking Power-Performance Characteristics of Federated Learning Clients
Pratik Agrawal, Philipp Wiesner, Odej Kao
Federated Learning (FL) is a decentralized machine learning approach where local models are trained on distributed clients, allowing privacy-preserving collaboration by sharing mod…
cs.LG2023
FedZero: Leveraging Renewable Excess Energy in Federated Learning
Philipp Wiesner, Ramin Khalili, Dennis Grinwald +3
Federated Learning (FL) is an emerging machine learning technique that enables distributed model training across data silos or edge devices without data sharing. Yet, FL inevitably…