Research map / Federated learning and privacy / Differential privacy
Differentially-Private Clustering of Easy Instances
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Preprocess inputs with FriendlyCore before private aggregation | Differentially private averaging · Basic averaging tasks | sample complexity | Helped |
Closest papers by meaning
- Making Old Things New: A Unified Algorithm for Differentially Private Clustering (ICML 2024 · similarity 0.93)
- Online Differentially Private Consistent Clustering (NeurIPS 2026 · similarity 0.91)
- Differentially Private Federated $k$-Means Clustering with Server-Side Data (ICML 2025 · similarity 0.90)
- A Differentially Private Clustering Algorithm for Well-Clustered Graphs (ICLR 2024 · similarity 0.88)
- On the Price of Differential Privacy for Hierarchical Clustering (ICLR 2025 · similarity 0.87)
- Improving the Variance of Differentially Private Randomized Experiments through Clustering (ICML 2025 · similarity 0.87)
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