Communication-Efficient Online Federated Learning Framework for Nonlinear Regression-Reference-Cited by-同舟云学术

Communication-Efficient Online Federated Learning Framework for Nonlinear Regression

Published:2022-05-23 Issue: Volume: Page:
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Container-title:ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Gogineni Vinay Chakravarthi¹,Werner Stefan¹,Huang Yih-Fang²,Kuh Anthony³

Affiliation:

1. Norwegian University of Science and Technology-NTNU,Dept. of Electronic Systems,Norway

2. University of Notre Dame,Dept. of Electrical Engineering,Notre Dame,IN,USA

3. University of Hawaii,Dept. of Electrical and Computer Engineering,Hawaii,USA

Publisher

IEEE

Link

Reference25 articles.

1. A comprehensive survey of privacy-preserving federated learning: A taxonomy, review, and future directions;xuefei;ACM Comput Surveys,2021

2. Communication-efficient learning of deep networks from decentralized data;mcmahan;Proc Int Conf Artif Intell and Stat,2017

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