Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime
–Neural Information Processing Systems
We study distributed goodness-of-fit testing for discrete distribution under bandwidth and differential privacy constraints. Information constraint distributed goodness-of-fit testing is a problem that has received considerable attention recently. The important case of discrete distributions is theoretically well understood in the classical case where all data is available in one "central" location. In a federated setting, however, data is distributed across multiple "locations" (e.g.
Neural Information Processing Systems
Mar-18-2025, 02:40:03 GMT
- Country:
- Industry:
- Health & Medicine (0.92)
- Information Technology > Security & Privacy (1.00)
- Technology:
- Information Technology
- Artificial Intelligence
- Machine Learning > Statistical Learning (0.45)
- Natural Language (1.00)
- Representation & Reasoning (1.00)
- Communications > Networks
- Sensor Networks (0.67)
- Data Science (1.00)
- Security & Privacy (1.00)
- Artificial Intelligence
- Information Technology