APPFL: Advanced Privacy-Preserving Federated Learning
APPFL is a privacy-preserving federated learning framework that allows users to implement a federated learning environment with
user-defined neural network models (based on
torch.nn.Module) and loss function
custom decentralized data
The framework is designed to run on a single machine (a laptop or a cluster) as well as multiple heterogeneous machines.
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This material is based upon work supported by the U.S. Department of Energy, Office of Science, under contract number DE-AC02-06CH11357.