Download
A Python-based framework for federated learning simulation, emphasizing modularity, communication efficiency, and algorithmic flexibility. Supports both server- and client-side customization for research and development purposes.
Features
- Modular simulation of FL workflows (communication, optimization, compression)
- Customizable server/client logic via plug-in modules
- Scales to diverse computation & network scenarios
- PyPI-installable (pip install fedlab) or cloneable from GitHub
- Compatible with PyTorch models
- Focused on efficient algorithm experimentation
Project Samples
Categories
Federated Learning FrameworksLicense
Apache License V2.0Follow FedLab
Other Useful Business Software
Cloud data warehouse to power your data-driven innovation
BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of FedLab!
