This is the Windows app named Appfl whose latest release can be downloaded as v1.6.1sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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Appfl
DESCRIPTION
APPFL (Advanced Privacy-Preserving Federated Learning) is a Python framework enabling researchers to easily build and benchmark privacy-aware federated learning solutions. It supports flexible algorithm development, differential privacy, secure communications, and runs efficiently on HPC and multi-GPU setups.
Features
- Implements differential privacy and client authentication
- Modular plug-and-play aggregation, scheduling, trainers
- Supports synchronous and asynchronous FL algorithms
- Multi-GPU training via PyTorch DDP
- Integrates with MONAI for healthcare workflows
- Scalable on HPC using MPI/gRPC-based client-server setup
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/appfl.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
