Tensorflow Federated documentation → http://goo.gle/39Mdfj2
Federated Learning for image classification → http://goo.gle/39OwxUZ
Blog post → http://goo.gle/2YIGLzF
Standard machine learning approaches require centralizing training data into a common store, but what if we could train ML models on decentralized data? In this episode of AI Adventures, we speak to what federated learning is and how this type of decentralized learning allows machine learning models to have a lower latency, be smarter, and consume less power, while ensuring user privacy. Watch to learn how federated learning can help you train your ML models!
0:00 – Intro
0:55 – Solutions for decentralizing data
2:05 – What is Federated Learning?
3:54 – Secure Aggregation
4:48 – Conclusion
Check out the rest of the AI Adventures playlist → https://goo.gl/UC5usG
Subscribe to Google Cloud Platform→ https://goo.gle/GCP
Product: AIML; fullname: Priyanka Vergadia;
Publisher: Google Cloud
You can watch this video also at the source.