Towards Energy-Aware Federated Learning on Battery-Powered Clients

9 August 2022

Papers citing "Towards Energy-Aware Federated Learning on Battery-Powered Clients"

4 / 4 papers shown

Title
FedZero: Leveraging Renewable Excess Energy in Federated Learning Philipp Wiesner R. Khalili Dennis Grinwald Pratik Agrawal L. Thamsen O. Kao 13 14 0 24 May 2023
An Efficient Statistical-based Gradient Compression Technique for Distributed Training Systems A. Abdelmoniem Ahmed Elzanaty Mohamed-Slim Alouini Marco Canini 49 74 0 26 Jan 2021
Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity Amirhossein Reisizadeh Isidoros Tziotis Hamed Hassani Aryan Mokhtari Ramtin Pedarsani FedML 162 98 0 28 Dec 2020
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 157 758 0 28 Sep 2019