Chiaroscuro: Transparency and Privacy for Massive Personal Time-Series Clustering
Summary: Chiaroscuro proposes Diptych, a privacy-preserving method enabling encrypted, DP-based collaboration for time-series clustering. Distributed on-device execution tolerates churn, delivering high clustering quality with DP and validated on real/synthetic data. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Tristan Allard
- 2. Georges Hébrail
- 3. Florent Masseglia
- 4. Esther Pacitti
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 715 | Differentially Private Aggregation of Distributed Time-Series with Transformation and Encryption | 2010 | SIGMOD | 0.00017725693 |
| 12,265 | Secure Personal Data Servers: a Vision Paper | 2010 | VLDB | 4.1945683e-05 |
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