Decentralized Graph Federated Multitask Learning for Streaming Data

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

Funder

Research Council of Norway

Publisher

IEEE

Reference21 articles.

1. A Graph Federated Architecture with Privacy Preserving Learning

2. Machine Learning From Distributed, Streaming Data [From the Guest Editors]

3. Real time kernel learning for sensor networks using principles of federated learning;kuh;Proc IEEE Int Conf Asia Pacific Signal and Info Process Assoc,0

4. Federated multi-task learning;smith;Proc Advances in Neural Info Process Syst,2017

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4. Continual Local Updates for Federated Learning with Enhanced Robustness to Link Noise;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31

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