🏫🙋🏻 Self Learn Federated Learning

⚒ 💻 Work in Progress

This repository contains a roadmap for beginner's to start their journey on Federated Learning. Self-curated. The difficulty will be moderate and expects prior knowledge about Python and Deep Learning concepts.

👋🏻 Introductory Resources

1. Start off with this funny and insightful comic on Federated Learning by Google AI. The same site contains a list of learning resources and research done by Google on Federated Learning.

   Link: Federated Learning Online Comic

2. The first paper on Federated learning was by Google Inc in 2017. The authors presented a new learning paradigm where the data remains distributed in several mobile devices but the model is trained in a decentralized way. Instead of data moving to a centralized server, the model moves to distributed devices. Quoting from the Abstract (had to mention it lol):

   We advocate an alternative that leaves the training data distributed on the mobile devices, and learns a shared model by aggregating locally-computed updates. We term this decentralized approach Federated Learning.

   Blog: Federated Learning: Collaborative Machine Learning without Centralized Training Data

   Paper: Communication-efficient learning of deep networks from decentralized data

   Read the blog first, to get an overall picture of the work, then jump on to the paper for the nitty-gritty details.

3. The next paper is again by Google Research. This time the paper deals with Keyword Prediction

⚒💻 Hands-Dirty FL

🗃💻 FL Libraries

In the order of ease of usage (currently trying Flower, Syft and TF-Federated, will update the order):

1. Flower by Flower Labs
2. TensorFlow Federated by Google PARFAIT
3. PySyft by OpenMined
4. FATE by FedAI Ecosystem
5. CLARA by NVIDIA
6. Substra by Owkin

🤷🏻‍♂️💻 FL Tutorials

FL Usecases

📰📜 FL Papers

📚📔 FL Books

FL Courses

1. [DL.AI X Flower Labs, Short Course on Intro to Federated Learning]
2. [DL.AI X Flower Labs, Short Course on Federated Fine-tuning of LLMs with Private Data]

FL Blogs

FL Research Labs

1. Federated GitHub by Google Research:A collection of Google research projects related to Federated Learning and Federated Analytics.

FL Communities

1. The Federated Learning Portal: This portal keeps track of books, workshops, conferences, special tracks, and other events related to the field of FL. I came to know about many competitions in the domain of FL from this webpage.
2. OpenMined Slack
3. Flower Labs Slack
4. FedML Discord

🐱‍💻🕹 FL Hackathons, Competitions and Challenges

🏢🏛 FL Organizations

1. OpenMined

FL Companies

1. Flower Labs
2. Owkin