Lyapunov-Based Optimization of Edge Resources for Energy-Efficient Adaptive Federated Learning-Reference-Cited by-同舟云学术

Lyapunov-Based Optimization of Edge Resources for Energy-Efficient Adaptive Federated Learning

Author:

Battiloro Claudio¹^ORCID,Di Lorenzo Paolo¹^ORCID,Merluzzi Mattia²^ORCID,Barbarossa Sergio¹^ORCID

Affiliation:

1. Department of Information Engineering, Electronics, and Telecommunications, Sapienza University of Rome, Rome, Italy

2. Univ. Grenoble Alpes, CEA, Leti, Grenoble, France

Funder

H2020 EUTaiwan Project 5G-CONNI

European Commission through the H2020 Project Hexa-X

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Renewable Energy, Sustainability and the Environment

Link

Reference55 articles.

1. How to scale distributed deep learning?;jin;arXiv 1611 04581,2016

2. Federated optimization: Distributed machine learning for on-device intelligence;kone?n?;arXiv 1610 02527,2016

3. Communication-efficient learning of deep networks from decentralized data;mcmahan;Proc AISTATS,2017

4. Federated optimization in heterogeneous networks;li;arXiv 1812 06127,2018

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