GitHub - Omkrishna-git/Faderated-Averaging-Algorithm: Federated Averaging (FedAvg): A key federated learning algorithm where clients train models locally on private data, send updates to a central server, and the server averages them to update the global model—enabling decentralized training without sharing raw data.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
clients.py		clients.py
models.py		models.py
server.py		server.py

About

Federated Averaging (FedAvg): A key federated learning algorithm where clients train models locally on private data, send updates to a central server, and the server averages them to update the global model—enabling decentralized training without sharing raw data.