FedTAIL: A Federated Learning Approach with Trans-Architecture Intermediate Links
Author:
Affiliation:
1. Harbin Institute of Technology,School of Computer Science and Technology,Harbin,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10649807/10649898/10651029.pdf?arnumber=10651029
Reference46 articles.
1. Communication-efficient learning of deep networks from decentralized data;McMahan;Artificial intelligence and statistics,2017
2. Advances and Open Problems in Federated Learning
3. Heterogeneous Federated Learning: State-of-the-art and Research Challenges
4. Federated learning on non-IID data: A survey
5. The non-iid data quagmire of decentralized machine learning;Hsieh
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