Security and privacy, distributed systems, federated learning
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Research focuses on privacy-preserving analytics and federated learning across decentralized data. Develops secure aggregation and differential privacy protocols with low device overhead, plus practical cryptographic key management (continuous rotation) for cloud-scale data.
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