102 results on '"Sarwate, Anand D."'
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2. Federated Analysis in COINSTAC Reveals Functional Network Connectivity and Spectral Links to Smoking and Alcohol Consumption in Nearly 2,000 Adolescent Brains
3. Decentralized Brain Age Estimation Using MRI Data
4. Decentralized Multisite VBM Analysis During Adolescence Shows Structural Changes Linked to Age, Body Mass Index, and Smoking: a COINSTAC Analysis
5. Decentralized temporal independent component analysis: Leveraging fMRI data in collaborative settings
6. Enhancing collaborative neuroimaging research: introducing COINSTAC Vaults for federated analysis and reproducibility.
7. Approximating Functions with Approximate Privacy for Applications in Signal Estimation and Learning.
8. Privacy Leakage in Discrete Time Updating Systems
9. Privacy Technology to Support Data Sharing for Comparative Effectiveness Research: A Systematic Review
10. Differential Fairness: An Intersectional Framework for Fair AI †.
11. Quadratically Constrained Myopic Adversarial Channels.
12. Zero-rate feedback can achieve the empirical capacity
13. Broadcast gossip algorithms for consensus
14. Network Traffic Shaping for Enhancing Privacy in IoT Systems.
15. Privacy‐preserving quality control of neuroimaging datasets in federated environments.
16. Geographic gossip: efficient averaging for sensor networks
17. Protecting count queries in study design
18. Improved Differentially Private Decentralized Source Separation for fMRI Data
19. Distributed Differentially Private Computation of Functions with Correlated Noise
20. Coordination Through Shared Randomness.
21. Data dependent convergence for consensus stochastic optimization
22. COINSTAC: decentralizing the future of brain imaging analysis
23. Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms.
24. The benefit of a 1-bit jump-start, and the necessity of stochastic encoding, in jamming channels
25. High Dimensional Inference With Random Maximum A-Posteriori Perturbations.
26. Distributed Differentially Private Algorithms for Matrix and Tensor Factorization.
27. CometCloudCare (C3): Distributed Machine Learning Platform-as-a-Service with Privacy Preservation
28. Identifiability of Kronecker-Structured Dictionaries for Tensor Data.
29. Social Learning and Distributed Hypothesis Testing.
30. Minimax Lower Bounds on Dictionary Learning for Tensor Data.
31. Relaxing the Gaussian AVC
32. Privacy constraints in regularized convex optimization
33. Symmetric matrix perturbation for differentially-private principal component analysis.
34. Data-weighted ensemble learning for privacy-preserving distributed learning.
35. Randomized requantization with local differential privacy.
36. Privacy-preserving source separation for distributed data using independent component analysis.
37. Distributed proportional stochastic coordinate descent with social sampling.
38. Large scale collaboration with autonomy: Decentralized data ICA.
39. Generalized opinion dynamics from local optimization rules.
40. Incentive Schemes for Privacy-Sensitive Consumers.
41. COINSTAC: A Privacy Enabled Model and Prototype for Leveraging and Processing Decentralized Brain Imaging Data.
42. A rate-disortion perspective on local differential privacy.
43. Tradeoffs for task parallelization in distributed optimization.
44. Data-Dependent Convergence for Consensus Stochastic Optimization.
45. Redundancy of Exchangeable Estimators.
46. Stochastic gradient descent with differentially private updates.
47. Assisted sampling of correlated sources.
48. Merging opinions by social sampling of posteriors.
49. An AVC perspective on correlated jamming.
50. Improved upper bounds on the capacity of binary channels with causal adversaries.
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