OpenFed: A Comprehensive and Versatile Open-Source Federated Learning Framework
Author:
Affiliation:
1. Meituan
2. Bytedance Inc.
3. Tsinghua University
4. University of Macau
5. State Key Lab of Computer Science, ISCAS
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10208270/10208119/10208573.pdf?arnumber=10208573
Reference43 articles.
1. Crypten: A new research tool for secure machine learning with pytorch;gunning,2019
2. Federated Learning
3. Facing small and biased data dilemma in drug discovery with federated learning;xiong,2020
4. Fedml: A research library and benchmark for federated machine learning;he,2020
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Federated Learning Security and Privacy-Preserving Algorithm and Experiments Research Under Internet of Things Critical Infrastructure;Tsinghua Science and Technology;2024-04
2. Tournament-Based Pretraining to Accelerate Federated Learning;Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis;2023-11-12
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