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This project explores security threats in Federated Learning (FL) by implementing a Label Flipping Attack and using Median Aggregation as a defense. It includes a CNN model, FL server-client setup, and evaluation metrics like accuracy and convergence. Built with PyTorch, FLWR, NumPy, and Matplotlib.
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Fixed Median Agregation and Weighted Aggregation, needs graphs
be1e63dView on GitHubfeat: complete federated learning system with defenses and tracking
c1d26d8View on GitHubfeat: implemented median and weighted defense strategies with tracking and CSV export
fbf80b7View on GitHub5
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