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Building a Cloud-Native Privacy Computing Platform in Financial Industry

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Describes how Shanghai Pudong Development Bank implemented a cloud‑native federated learning privacy platform called Poseidon by porting the Linux Foundation’s FATE to Kubernetes. Covers concrete work on Kubernetes adaptations of FATE, cloud‑native networking and storage best practices, security measures for privacy computing, and a data‑topology‑driven Pod scheduling innovation used in telecom anti‑fraud, credit risk, and marketing scenarios.

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