This week, we’ve got the latest in Ahmed Gad’s series on building a federated learning pipeline, a couple of new ML Kit tutorials, and a look at Alibaba’s mobile deep learning solution.

Plus, more SnapML coverage, as we continue to explore Snap’s new ML framework inside Lens Studio.

Happy reading,

Austin

New this Week

Federated Learning Demo in Python (Part 3): Training Models using Federated Learning

In part 3, we start training models using federated learning

— by Ahmed Gad

---

Object Detection in Android Using Firebase ML Kit

Identify and locate objects in images with Google’s framework for mobile machine learning.

— by Danish Amjad

---

Alibaba’s Mobile Neural Network: A deep learning framework for mobile and embedded devices

A peek at Alibaba’s Mobile Neural Network (MNN) and how it achieves balance between high performance, flexibility, and ease-of-use.

— by Jamshed Khan

---

Scan Barcodes on Android Using the Power of ML Kit and Fotoapparat

Learn how to scan barcode images in Kotlin on Android, with Fotoapparat and ML Kit.

— by Younes Charfaoui

---

Exploring SnapML: A Technical Overview

Our high-level technical overview of Lens Studio’s new framework for custom machine learning models.

— by Matthew Moellman

#machine-learning #mobile-machine-learning #tech #programming #mobile-app-development #deep learning