
Unlocking the Potential of Private Data Collaboration
The Data Exchange with Ben Lorica
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Exploring Secure Multi Party Computation and Data Collaboration
The chapter delves into secure multi party computation (MPC) and its role in enabling joint computation without revealing private inputs, benefiting data matching, analytics, and machine learning. It discusses challenges, a Python compiler development, and performance trade-offs, emphasizing the importance of fine-tuning data sets and collaborating while preserving data privacy.
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