Goals:
- implement a centralized baseline to define an upper bound
- implement a federated baseline (FedAvg)
- explore system heterogeneity (FedGKT)
- simulate a gradient inversion attack
- explore statistical heterogeneity (FedDyn)
-
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Repository for the Machine Learning and Deep Learning project about Federated Learning
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