Multi-party computation is (sort of) changing the game

Multi-party computation (MPC) is a category of algorithms that allows computations on private data across multiple devices while maintaining data privacy, gaining attention in an era focused on privacy concerns. Despite its potential and early successful application in scenarios like the 2008 Danish Sugar Beet Auction, MPC's adoption remains limited due to its complexity, difficulty in implementation, and challenges in debugging and reliability. Most applications use centralized servers and legal agreements for privacy, as they offer a simpler path than MPC. Although MPC has seen successful implementations in blockchain and private set intersection (PSI) for password security, these cases are exceptions and not representative of widespread adoption. The future of MPC is uncertain, as it faces significant obstacles, but its application in niche areas suggests potential growth if technological and business model challenges can be overcome.

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