Blog

• 16 Dec 2020: Federated Learning on Embedded devices with Flower - [flower.dev]

  Federated Learning (FL) is catching traction and it is now being used in several commercial applications and services. For example, Google uses it for mobile keyboard prediction, while Apple uses FL to improve Siri. In this blog post, I will first give a primer on FL by comparing it against a standard datacenter setup. Then, I’ll motivate the use of Federated Learning on embedded devices and, end this blog post by providing a walk-through on how you can set up and run FL applications on embedded devices using Flower.

• 29 Apr 2020: Winograd Convolutions meet Integer Quantization and Architecture Search - [Arm]

  In this post I present an high-level summary of Searching for Winograd-aware Quantized Networks and how to make use of Winograd-aware layers in your own reseach. I presented this work at MLSys’20.