Federated Learning (FL)
39 articles

Content exploring decentralized AI training, real-world implementations, and its role in privacy-preserving machine learning.

  • June 15, 2020

Announcing the OpenMined-UCSF Data-Centric Federated Learning Fellowship

  • May 26, 2020

Federated Learning for Credit Scoring

  • May 25, 2020

A Federated Learning Approach for Pill Identification

  • May 19, 2020

Privacy-Preserving Data Science, Explained

  • May 19, 2020

What is Federated Learning?

  • May 5, 2020

Towards privacy with RStudio: Encrypted deep learning with Syft and Keras

  • April 13, 2020

PyGrid: A Peer-to-Peer Platform for Private Data Science and Federated Learning

  • March 19, 2020

Using Privacy and Federated Learning in Recommendations – Part 1

  • March 10, 2020

Predictive Maintenance of Turbofan Engines using Federated Learning with PySyft and PyGrid

  • February 7, 2020

Introduction to Federated Learning and Privacy Preservation using PySyft and PyTorch

  • December 6, 2019

Announcing the OpenMined-PyTorch Federated Learning Fellowships

  • October 22, 2019

Asynchronous Federated Learning in PySyft

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