| Bayesian Federated Learning over Wireless Networks | Dec 31, 2020 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Robustness, Privacy, and Generalization of Adversarial Training | Dec 25, 2020 | Generalization BoundsPrivacy Preserving | CodeCode Available | 0 |
| Comparison of Privacy-Preserving Distributed Deep Learning Methods in Healthcare | Dec 23, 2020 | Binary ClassificationClassification | —Unverified | 0 |
| Privacy-Preserving Clustering: A New ApproachBased on Invariant Order Encryption | Dec 20, 2020 | Cloud ComputingClustering | CodeCode Available | 0 |
| Fundamental Limits and Tradeoffs in Invariant Representation Learning | Dec 19, 2020 | Domain AdaptationFairness | —Unverified | 0 |
| Scalable and Provably Accurate Algorithms for Differentially Private Distributed Decision Tree Learning | Dec 19, 2020 | Privacy Preserving | CodeCode Available | 0 |
| NN-EMD: Efficiently Training Neural Networks using Encrypted Multi-Sourced Datasets | Dec 18, 2020 | BIG-bench Machine LearningPrivacy Preserving | CodeCode Available | 1 |
| Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design | Dec 17, 2020 | Privacy Preserving | —Unverified | 0 |
| Difficulty in estimating visual information from randomly sampled images | Dec 16, 2020 | BIG-bench Machine LearningDimensionality Reduction | —Unverified | 0 |
| FedeRank: User Controlled Feedback with Federated Recommender Systems | Dec 15, 2020 | DiversityFederated Learning | —Unverified | 0 |
