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Learner-Private Convex Optimization
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-63076-8_1openalex-snapshot
Threats to Federated Learning
inferredcites →https://doi.org/10.1007/978-3-540-79228-4_1openalex-snapshot
Differential Privacy: A Survey of Results
inferredcites →https://doi.org/10.1016/0022-0000(89)90018-4openalex-snapshot
On hiding information from an oracle
inferredcites →https://doi.org/10.1016/0378-3758(94)00106-6openalex-snapshot
A nonparametric Bayes method for isotonic regression
inferredcites →https://doi.org/10.1017/cbo9780511804458.011openalex-snapshot
Cooperative distributed multi-agent optimization
inferredcites →https://doi.org/10.1090/s0025-5718-97-00807-7openalex-snapshot
On some inequalities for the gamma and psi functions
inferredcites →https://doi.org/10.1093/biomet/80.3.489openalex-snapshot
Nonparametric Bayesian Bioassay with Prior Constraints on the Shape of the Potency Curve
inferredcites →https://doi.org/10.1109/eurosp.2019.00044openalex-snapshot
PRADA: Protecting Against DNN Model Stealing Attacks
inferredcites →https://doi.org/10.1109/globalsip.2013.6736861openalex-snapshot
Stochastic gradient descent with differentially private updates
inferredcites →https://doi.org/10.1109/itsc45102.2020.9294300openalex-snapshot
Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic
inferredcites →https://doi.org/10.1109/iwcit.2018.8405043openalex-snapshot
Private function retrieval
inferredcites →https://doi.org/10.1109/sfcs.1995.492461openalex-snapshot
Private information retrieval
inferredcites →https://doi.org/10.1109/sp.2017.12openalex-snapshot
SecureML: A System for Scalable Privacy-Preserving Machine Learning
inferredcites →https://doi.org/10.1109/sp.2019.00029openalex-snapshot
Exploiting Unintended Feature Leakage in Collaborative Learning
inferredcites →https://doi.org/10.1109/tsp.2016.2558168openalex-snapshot
Infection Spreading and Source Identification: A Hide and Seek Game
inferredcites →https://doi.org/10.1111/j.0006-341x.2004.00184.xopenalex-snapshot
Bayesian Isotonic Regression and Trend Analysis
inferredcites →https://doi.org/10.1111/j.1541-0420.2008.01060.xopenalex-snapshot
Bayesian Nonparametric Estimation of Continuous Monotone Functions with Applications to Dose–Response Analysis
inferredcites →https://doi.org/10.1119/1.15378openalex-snapshot
Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables
inferredcites →https://doi.org/10.1137/07069729xopenalex-snapshot
Separable Convex Optimization Problems with Linear Ascending Constraints
inferredcites →https://doi.org/10.1137/110850827openalex-snapshot
Stochastic Convex Optimization with Bandit Feedback
inferredcites →https://doi.org/10.1145/2976749.2978318openalex-snapshot
Deep Learning with Differential Privacy
inferredcites →https://doi.org/10.1145/3133956.3134098openalex-snapshot
A Formal Foundation for Secure Remote Execution of Enclaves
inferredcites →https://doi.org/10.1145/3328526.3329635openalex-snapshot
The Perils of Exploration under Competition
inferredcites →https://doi.org/10.1145/3393691.3394213openalex-snapshot
Privacy-Utility Tradeoffs in Routing Cryptocurrency over Payment Channel Networks
inferredcites →https://doi.org/10.1287/opre.2017.1682openalex-snapshot
Delay-Predictability Trade-offs in Reaching a Secret Goal
inferredcites →https://doi.org/10.1561/2200000083openalex-snapshot
Advances and Open Problems in Federated Learning
inferredcites →https://doi.org/10.1561/9781601984616openalex-snapshot
Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
inferredcites →https://doi.org/10.2307/1266136openalex-snapshot
Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables
inferredcites →https://doi.org/10.4230/lipics.itcs.2018.48openalex-snapshot
Competing Bandits: Learning Under Competition
inferredcites →https://doi.org/10.46647/ijetms.2022.v06i05.052openalex-snapshot
Federated Learning: Collaborative Machine Learning without Centralized Training Data
inferredcites →https://doi.org/10.48550/arxiv.1302.3203openalex-snapshot
Local Privacy, Data Processing Inequalities, and Statistical Minimax Rates
inferredcites →https://doi.org/10.48550/arxiv.1602.05629openalex-snapshot
Communication-Efficient Learning of Deep Networks from Decentralized Data
inferredcites →https://doi.org/10.48550/arxiv.1812.00984openalex-snapshot
Protection Against Reconstruction and Its Applications in Private Federated Learning
inferredcites →https://doi.org/10.48550/arxiv.1909.09836openalex-snapshot
Optimal query complexity for private sequential learning against eavesdropping
inferredcites →https://doi.org/10.48550/arxiv.1911.06903openalex-snapshot
Query Complexity of Bayesian Private Learning
inferredcites →https://doi.org/10.48550/arxiv.2007.10144openalex-snapshot
Competing Bandits: The Perils of Exploration Under Competition
inferredcites →https://doi.org/10.48550/arxiv.2104.01926openalex-snapshot
Optimal Query Complexity of Secure Stochastic Convex Optimization
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.3875606openalex-extracted
Private Genetic Genealogy Search
inferred← citeshttps://doi.org/10.1109/lcsys.2024.3406543openalex-snapshot
Structured Reinforcement Learning for Incentivized Stochastic Covert Optimization
inferred← citeshttps://doi.org/10.1109/twc.2024.3453392openalex-snapshot
Federated Edge Learning With Differential Privacy: An Active Reconfigurable Intelligent Surface Approach
inferred← citeshttps://doi.org/10.3934/naco.2024041openalex-snapshot
Controlling stochastic gradient descent using stochastic approximation for robust distributed optimization
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