Toward Secure and Trustworthy Distributed Computation

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This postdoc will explore secure distributed computation paradigms for decentralized learning, formalizing its properties and addressing confidentiality, integrity, and failure tolerance. It will investigate approaches like Multi-Party Computation (MPC) for privacy and Conflict-Free Replicated Data Types (CRDTs) for consistency. The outcome will include mechanisms to integrate distributed systems and cryptography, balancing security, performance, and scalability.

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