FedML's core technology is backed by years of cutting-edge research represented in 50+ publications in ML/FL Algorithms, Security/Privacy, Systems, and Applications, as well as 10 years of industrial experience in Distributed Systems, Cloud Computing, and Mobile/IoT Systems.
- FedML Open Source Library (https://github.com/FedML-AI)
- FedML Edge SDK and MLOps Platform (https://open.fedml.ai)
The software architecture of the open-source library is on the left side. MLOps platform further reuses the source code of the open-source library (the green-colored box).
3. A Full-stack of Scientific Publications in ML Algorithms, Security/Privacy, Systems, Applications, and Visionary Impacts
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Vision Paper for High Scientific Impacts
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System for Large-scale Distributed/Federated Training
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Training Algorithms for FL
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Security/privacy for FL
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AI Applications
Please check out this publication list for details.