Major Features
- Distributed/standalone fast-forward FL evaluations
- 21 realistic [FL datasets](https://fedscale.ai/docs/dataset)
- 70+ lightweight [FL models](https://github.com/SymbioticLab/FedScale/tree/master/fedscale/utils/models)
- PyTorch and TensorFlow support
- GPU, x86, and ARM hardware backend support
- Real-world client system traces
- Synchronous and asynchronous training with straggler mitigation support
- Homepage, API documentation
Credits
FedScale 0.5 was the work of a large set of new contributors from Michigan and outside. Thanks also to all the FedScale users who have suggested new features or reported bugs.