FEDAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning-Reference-Cited by-同舟云学术

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FEDAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning

Published:2021 Issue: Volume: Page:1-13
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Sattler Felix^ORCID,Korjakow Tim^ORCID,Rischke Roman^ORCID,Samek Wojciech^ORCID

Funder

German Federal Ministry of Education and Research BMBF through the Berlin Institute for the Foundations of Learning and Data BIFOLD

EUs Horizon 2020 Project COPA EUROPE

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/09632275.pdf?arnumber=9632275

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