Overview
TensorOpera® 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. 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 out this publication list for details.
2. Industrial-level System Design and Optimization
- FedML Open Source Library (https://github.com/FedML-AI)
- FedML Edge SDK and MLOps Platform (https://tensoropera.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. User-friendly MLOps platform to simplify collaboration and real-world deployment