Boosting the Federation: Cross-Silo Federated Learning without Gradient Descent-Reference-Cited by-同舟云学术

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Boosting the Federation: Cross-Silo Federated Learning without Gradient Descent

Published:2022-07-18 Issue: Volume: Page:
ISSN:
Container-title:2022 International Joint Conference on Neural Networks (IJCNN)
language:
Short-container-title:

Author:

Polato Mirko¹,Esposito Roberto¹,Aldinucci Marco¹

Affiliation:

1. University of Turin,Dept. of Computer Science,Turin,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9891857/9889787/09892284.pdf?arnumber=9892284

Reference34 articles.

1. Federated learning on non-iid data silos: An experimental study;li;CoRR,2021

2. Multi-class AdaBoost

3. Advances and Open Problems in Federated Learning

4. HPC4AI, an AI -on-demand federated platform endeavour;aldinucci;ACM Computing Frontiers,2018

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