| DOCMASTER: A Unified Platform for Annotation, Training, & Inference in Document Question-Answering | Mar 30, 2024 | Privacy PreservingQuestion Answering | —Unverified | 0 |
| Robust Federated Contrastive Recommender System against Model Poisoning Attack | Mar 29, 2024 | Contrastive LearningModel Poisoning | —Unverified | 0 |
| Homomorphic WiSARDs: Efficient Weightless Neural Network training over encrypted data | Mar 29, 2024 | Privacy Preserving | —Unverified | 0 |
| MAPL: Model Agnostic Peer-to-peer Learning | Mar 28, 2024 | Graph Learningmodel | CodeCode Available | 0 |
| Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning | Mar 28, 2024 | Distributed ComputingFederated Learning | —Unverified | 0 |
| Privacy-Preserving Distributed Nonnegative Matrix Factorization | Mar 27, 2024 | Privacy Preserving | —Unverified | 0 |
| BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text | Mar 27, 2024 | ArticlesLanguage Modeling | CodeCode Available | 4 |
| Secure Aggregation is Not Private Against Membership Inference Attacks | Mar 26, 2024 | Federated LearningPrivacy Preserving | CodeCode Available | 0 |
| Empowering Data Mesh with Federated Learning | Mar 26, 2024 | Decision MakingFederated Learning | CodeCode Available | 0 |
| Hawk: Accurate and Fast Privacy-Preserving Machine Learning Using Secure Lookup Table Computation | Mar 26, 2024 | Computational EfficiencyPrivacy Preserving | —Unverified | 0 |
