Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Learning Privately from Multiparty Data
A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification
Differential privacy for statistics: What we know and what we want to learn
Distributed Data Mining with Differential Privacy
Privacy Aware Learning
Group Differential Privacy-Preserving Disclosure of Multi-level Association Graphs
Differentially Private Publication of Sparse Data
Differential Privacy as a Mutual Information Constraint
Differentially Private Empirical Risk Minimization
Data mining with differential privacy
Secure Multiparty Computation and Secret Sharing
Applying Differential Privacy to Matrix Factorization
EXpectation Propagation LOgistic REgRession (EXPLORER): distributed privacy-preserving online model learning.
Boosting and Differential Privacy
State-of-the-art in privacy preserving data mining
Concentrated Differential Privacy
Cloud-enabled privacy-preserving collaborative learning for mobile sensing
Stochastic Gradient Descent with Differentially Private Updates
Deploying Secure Multi-Party Computation for Financial Data Analysis
Distributed differential privacy and applications
A learning theory approach to non-interactive database privacy
Invariant Manifold Approach for the Stabilization of Nonholonomic Chained Systems: Application to a Mobile Robot
Activity recognition using cell phone accelerometers
Circulating currents and CM EMI reduction for interleaved three-phase VSC
Creating Diversity In Ensembles Using Artificial Data
Image Decomposition and Classification Through a Generative Model