Papers

• Distributional Determinantal Point Process for Repulsive Clustering of Distributions (2026)
  Khai Nguyen et al.
  3.51
• A Maximum Entropy Implementation of Differential Privacy Under Linear Invariants (2026)
  Ryan Lafferty et al.
  3.51
• Range Penalization: Theoretical Insights with Applications in Federated Learning (2026)
  Yiyuan She et al.
  3.45
• Longitudinal Random Forests for Sparse and Irregular Response Trajectories (2026)
  Yangsheng Wang et al.
  2.00
• Interventional Score Geometry for Causal Inference (2026)
  Mojtaba Eslami
  2.00
• Learning Bidirectional Causal Interactions with Heteroscedastic Neural Networks (2026)
  Masahiro Tanaka
  2.00
• Self-Distillation is Optimal Among Spectral Shrinkage Estimators in Spiked Covariance Models (2026)
  Radu Lecoiu et al.
  1.89
• Statistical Limits and Efficient Algorithms for Differentially Private Federated Learning (2026)
  Arnab Auddy et al.
  1.89
• Federated Rule Ensemble Method in Medical Data (2026)
  Ke Wan et al.
  1.83
• Beyond Passive Aggregation: Active Auditing and Topology-Aware Defense in Decentralized Federated Learning (2026)
  Sheng Pan and Niansheng Tang
  1.78
• Federated fairness-aware classification under differential privacy (2026)
  Gengyu Xue et al.
  1.78
• Adaptive Decentralized Federated Learning for Robust Optimization (2025)
  Shuyuan Wu et al.
  1.61
• Scalable Asynchronous Federated Modeling for Spatial Data (2025)
  Jianwei Shi et al.
  1.50
• Mitigating Privacy-Utility Trade-off in Decentralized Federated Learning via $f$-Differential Privacy (2025)
  Xiang Li et al.
  1.50
• PCS-UQ: Uncertainty Quantification via the Predictability-Computability-Stability Framework (2025)
  Abhineet Agarwal et al.
  1.22
• Refined Analysis of Federated Averaging and Federated Richardson-Romberg (2024)
  Paul Mangold et al.
  1.00
• Data Measurements for Decentralized Data Markets (2024)
  Charles Lu et al.
  —
• Distributed Differentially Private Data Analytics via Secure Sketching (2024)
  Jakob Burkhardt et al.
  —
• Ask for More Than Bayes Optimal: A Theory of Indecisions for Selective Hypothesis Testing (2024)
  Mohamed Ndaoud et al.
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