https://github.com/snehilsanyal/intro-to-federated-learning
🏫📝 This repository contains my notes and notebooks from the short course by Deeplearning.AI x Flower Labs on Intro to Federated Learning.
https://github.com/snehilsanyal/intro-to-federated-learning
beginner-friendly deeplearning-ai federated-learning flower short-course
Last synced: 7 months ago
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🏫📝 This repository contains my notes and notebooks from the short course by Deeplearning.AI x Flower Labs on Intro to Federated Learning.
- Host: GitHub
- URL: https://github.com/snehilsanyal/intro-to-federated-learning
- Owner: snehilsanyal
- License: mit
- Created: 2024-11-19T05:53:27.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2024-11-19T12:02:39.000Z (11 months ago)
- Last Synced: 2025-02-04T18:52:07.425Z (8 months ago)
- Topics: beginner-friendly, deeplearning-ai, federated-learning, flower, short-course
- Homepage:
- Size: 6.84 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 🌐👨🏻💻 Intro to Federated Learning
This repository contains self notes and notebooks from the short course by Deeplearning.ai and Flower Labs on Intro to Federated Learning.
**Join the course here:** [**Deeplearning.AI Courses**](https://learn.deeplearning.ai/)
- 💻 7 Short videos
- 🧑🏻💻 5 Exercises (code-along)
- ✍🏻 L1 discusses Public vs Private Data, the power of private data for training, and how we can leverage private data using Federated Learning.
- ✍🏻 L2 discusses the Federated Learning process.
- ✍🏻 L3 discusses the Tuning process.
- ✍🏻 L4 discusses the Privacy concerns.
- ✍🏻 L5 discusses the Bandwdith required for training during communication rounds.
- 🎗️ Shareable Certificate at the end of the Short course.
