This is the Windows app named Pfl Research whose latest release can be downloaded as pfl0.3.1sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
Pfl Research
DESCRIPTION:
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
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/pfl-research.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.