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KubeFATE is a Kubernetes-based deployment platform for federated learning using the FATE framework, enabling multi-party machine learning across public, private, and hybrid clouds. It operationalizes federated learning workloads with cloud-native tech like containers and Kubernetes, providing production-ready deployment via Kubernetes and development via Docker Compose. FATE (Federated AI Technology Enabler) is an open-source secure computing framework implementing secure computation protocols (MPC, homomorphic encryption) enabling secure distributed model training across parties and supporting various algorithms.
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