Maryam Aliakbarpour
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| title | conference | date |
|---|---|---|
| Heterogeneity and Privacy in Modern Learning | Trust in Decentralized Systems 2026 | 2026-03-16 |
Survey of concrete models and provable separations. Proves DP meta‑learning ≡ DP multitask but shows joint differential privacy is strictly stronger than the… | ||
| Not all data are created Equal: Robust Mean Estimation from Heterogeneous and Unreliable Users | Learning from Heterogeneous Sources 2026 | 2026-02-23 |
Model where N users each send n samples, an epsilon fraction of users are fully adversarial and the remaining users are “good” but lie within a proximity alpha… | ||
| Hypothesis selection with computational constraints | Extroverted Sublinear Algorithms 2024 | 2024-06-17 |
Presents a concrete, nearly-linear-time procedure that attains a 3·OPT guarantee (plus O(ε)) for proper hypothesis selection while keeping optimal sample usage… | ||
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