Robust Federated Learning With Noisy Labels
Author:
Affiliation:
1. Korea Advanced Institute of Science and Technology, Daejeon, South Korea
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Computer Networks and Communications
Link
http://xplorestaging.ieee.org/ielx7/9670/9779590/09713942.pdf?arnumber=9713942
Reference20 articles.
1. Deep Self-Learning From Noisy Labels
2. Federated learning with non-iid data;zhao,2018
3. On the convergence of FedAvg on non-iid data;li;Proc Int Conf Learn Representations,0
4. Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data
5. Robust Federated Learning With Noisy Communication
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