FedFace

Tutorial: FedFace

This FedFace project leverages Federated Learning for face classification. It allows multiple clients to collaboratively train an AI model on their local, private face data without ever sending the raw data to a central server. The Federated Server coordinates this learning, aggregating model updates, while a configuration system dictates all operational parameters. The architecture is modular, supporting pluggable AI models and robust data management for various distribution scenarios.

Visual Overview

Chapters

1. Configuration System
2. Federated Server (FedFlowerServer)
3. Federated Client (FedFlowerClient)
4. Data Management and Distribution
5. Face Classification Logic
6. Pluggable Model Architecture

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