Metadata-Version: 2.1
Name: fedbase
Version: 0.2.2
Summary: An easy, silly, DIY Federated Learning framework with many baselines for individual researchers.
Home-page: https://github.com/jie-ma-ai/FedBase
Author: Jie MA
Author-email: ustcmj@gmail.com, jie.ma-5@student.uts.edu.au
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
License-File: LICENSE

# FedBase
An easy, silly, DIY Federated Learning framework with many baselines for individual researchers.

# Three steps to achieve FedAvg!

# Design philosophy
1. Dataset
    1. Dataset partition
        1. IID
        2. Non-IID
            1. Dirichlet distribution
            2. N classes
            3. ...
        3. Fake data
        4. ...
    2. Batch_size
2. Node
    1. Local dataset
    2. Model
    3. Objective
    4. Optimizer
    5. Local update
    6. Test
3. Server
    1. Model
    2. Aggregate
    3. Distribute
4. Server & Node
    1. Topology
    2. Client sampling
    3. Exchange file
5. Baselines
    1. Global
    2. Local
    3. FedAvg
6. Visualization

# How to develop your own FL with fedbase?

# Baselines
1. Global training
2. FedAvg

# To be continued...

