Technology Overview¶

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.

1. Industrial-level System Design and Optimization¶

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).

2. User-friendly MLOps platform to simplify collaboration and real-world deployment¶

3. A Full-stack of Scientific Publications in ML Algorithms, Security/Privacy, Systems, Applications, and Visionary Impacts¶

Vision Paper for High Scientific Impacts
System for Large-scale Distributed/Federated Training
Training Algorithms for FL
Security/privacy for FL
AI Applications

Please check this publication list for details.