NanoFed is a Python library I designed to simplify the implementation of federated learning systems, offering out-of-the-box support for coordination, client-server communication, and model aggregation.

Federated Learning (FL) is a distributed machine learning paradigm that trains a global model across multiple clients (devices or organizations) without sharing their data. Instead, clients send model updates to a central server for aggregation.