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Federated learning: a comparison of methods: How do different Federated Learning frameworks compare?Cristea, Vlad (author)Federated Learning is a machine learning paradigm for decentralized training over different clients. The training happens in rounds where each client learns a specific model which is then aggregated by a central server and passed back to the clients. Since the paradigm’s inception, many frameworks that provide Federated Learning tools and...bachelor thesis 2023