Download
A fast, modular Python framework released by Apple for privacy-preserving federated learning (PFL) simulation. Integrates with TensorFlow, PyTorch, and classical ML, and offers high-speed distributed simulation (7–72× faster than alternatives).
Features
- Simulates federated privacy-aware learning workflows
- Compatible with TensorFlow, PyTorch, scikit-learn
- Scales across processes, GPUs, multi-machine (via Horovod)
- Modular design for plugging privacy algorithms
- Benchmark suite for standardized comparisons
- Actively maintained by Apple researchers
Project Samples
Categories
Federated Learning FrameworksLicense
Apache License V2.0Follow Pfl Research
Other Useful Business Software
EHS Software and Management System
ERA Environmental Software Solutions develops web-based EHS management software for small, medium, and large manufacturers needing to comply with federal, provincial, and state regulations, monitor their air, water, and waste emissions and other environmental outputs, author and manage Safety Data Sheets (SDS) in more than 40 languages, or standardize their Health and Safety procedures for incident and inspection tracking, training delivery, and audit management. The platform also supports comprehensive reporting for programs like TRI, Tier II, Title V, NEI, and NPRI. Companies across the automotive, aerospace, general manufacturing, and paints and coatings industries, to name a few, rely on ERA’s all-in-one, SOC 2 Type II certified SaaS for complete coverage of their EHS needs.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Pfl Research!
