Federated Learning Simulator (FLSim)
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FLSim is a lightweight, extensible, and modular federated learning simulation framework developed by Meta Research. It enables researchers and developers to prototype and evaluate federated learning algorithms, supporting both cross-device and cross-silo FL scenarios with configurable privacy, security, and communication features.
First commit
Software value
$1.1M
License(s)
BSD-3-Clause
Data sources
Git
GitHub