🏢 Wharton School of the University of Pennsylvania
Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime
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Machine Learning
Federated Learning
🏢 Wharton School of the University of Pennsylvania
This paper derives matching minimax bounds for distributed goodness-of-fit testing of discrete data under bandwidth or privacy constraints, bridging theory and practice in federated learning.