| Privacy-Preserving Distributed Online Mirror Descent for Nonconvex Optimization | Jan 8, 2025 | Privacy Preserving | —Unverified | 0 | 0 |
| Privacy-Preserving Distributed Optimal Power Flow with Partially Homomorphic Encryption | Jan 21, 2021 | Privacy Preserving | —Unverified | 0 | 0 |
| Privacy-Preserving Distributed Optimisation using Stochastic PDMM | Dec 13, 2023 | Privacy Preserving | —Unverified | 0 | 0 |
| Privacy-Preserving Distributed Optimization and Learning | Feb 29, 2024 | Distributed OptimizationPrivacy Preserving | —Unverified | 0 | 0 |
| FedPower: Privacy-Preserving Distributed Eigenspace Estimation | Mar 1, 2021 | BIG-bench Machine LearningDimensionality Reduction | —Unverified | 0 | 0 |
| Privacy-Preserving Distributed Zeroth-Order Optimization | Aug 31, 2020 | Privacy Preserving | —Unverified | 0 | 0 |
| Privacy-Preserving Domain Adaptation of Semantic Parsers | Dec 20, 2022 | Domain AdaptationPrivacy Preserving | —Unverified | 0 | 0 |
| Privacy-Preserving, Dropout-Resilient Aggregation in Decentralized Learning | Apr 27, 2024 | Privacy Preserving | —Unverified | 0 | 0 |
| Privacy-Preserving Dynamic Assortment Selection | Oct 29, 2024 | Inference AttackPrivacy Preserving | —Unverified | 0 | 0 |
| Privacy-Preserving Dynamic Average Consensus via State Decomposition: Case Study on Multi-Robot Formation Control | Sep 11, 2020 | Privacy Preserving | —Unverified | 0 | 0 |
