SHED: A Newton-type algorithm for federated learning based on incremental Hessian eigenvector sharing

Author:

Dal Fabbro Nicolò,Dey Subhrakanti,Rossi Michele,Schenato Luca

Funder

Ministero dell’Istruzione, dell’Università e della Ricerca

MIUR

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Reference51 articles.

1. FLECS: A federated learning second-order framework via compression and sketching;Agafonov,2022

2. Communication-efficient distributed optimization with quantized preconditioners;Alimisis,2021

3. Federated learning over wireless fading channels;Amiri;IEEE Transactions on Wireless Communication,2020

4. Lyapunov-based optimization of edge resources for energy-efficient adaptive federated learning;Battiloro;IEEE Transactions on Green Communications and Networking,2022

5. Bertin-Mahieux, Thierry, Ellis, Daniel P. W., Whitman, Brian, & Lamere, Paul (2011). The Million Song Dataset. In Proceedings of the 12th international conference on music information retrieval.

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