Showing 1–20 of 26 results
/ Date/ Name
Jul 22, 2020Breaking the Communication-Privacy-Accuracy TrilemmaJul 9, 2022The Poisson binomial mechanism for secure and private federated learningMay 2, 2024Improved Communication-Privacy Trade-offs in $L_2$ Mean Estimation under Streaming Differential PrivacyMar 7, 2022The Fundamental Price of Secure Aggregation in Differentially Private Federated LearningNov 18, 2022The communication cost of security and privacy in federated frequency estimationJun 16, 2021Breaking The Dimension Dependence in Sparse Distribution Estimation under Communication ConstraintsAug 21, 2024Randomization Techniques to Mitigate the Risk of Copyright InfringementFeb 2, 2024$L_q$ Lower Bounds on Distributed Estimation via Fisher InformationNov 7, 2023Federated Experiment Design under Distributed Differential PrivacyApr 4, 2023Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean EstimationOct 7, 2021Pointwise Bounds for Distribution Estimation under Communication ConstraintsOct 29, 2021Optimal Compression of Locally Differentially Private MechanismsJun 8, 2023Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean EstimationMar 4, 2025Leveraging Randomness in Model and Data Partitioning for Privacy AmplificationNov 22, 2024Differentially Private Adaptation of Diffusion Models via Noisy Aggregated EmbeddingsJan 7, 2021Adaptive Group Testing on Networks with Community Structure: The Stochastic Block ModelSep 25, 2025Learning GUI Grounding with Spatial Reasoning from Visual FeedbackOct 1, 2025ACON: Optimizing Context Compression for Long-horizon LLM AgentsMay 9, 2018Anonymous Heterogeneous Distributed Detection: Optimal Decision Rules, Error Exponents, and the Price of AnonymityNov 3, 2025Simulating Environments with Reasoning Models for Agent Training