| FastLloyd: Federated, Accurate, Secure, and Tunable k-Means Clustering with Differential Privacy | May 3, 2024 | ClusteringConstrained Clustering | CodeCode Available | 0 | 5 |
| FairFML: Fair Federated Machine Learning with a Case Study on Reducing Gender Disparities in Cardiac Arrest Outcome Prediction | Oct 7, 2024 | FairnessFederated Learning | CodeCode Available | 0 | 5 |
| Federated Learning: Challenges, Methods, and Future Directions | Aug 21, 2019 | BIG-bench Machine LearningDistributed Optimization | CodeCode Available | 0 | 5 |
| BrainLeaks: On the Privacy-Preserving Properties of Neuromorphic Architectures against Model Inversion Attacks | Feb 1, 2024 | Privacy Preserving | CodeCode Available | 0 | 5 |
| FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning | Jun 7, 2022 | FairnessFederated Learning | CodeCode Available | 0 | 5 |
| Adversarial Privacy-preserving Filter | Jul 25, 2020 | Adversarial AttackFace Recognition | CodeCode Available | 0 | 5 |
| Noiseless Privacy-Preserving Decentralized Learning | Apr 15, 2024 | Privacy Preserving | CodeCode Available | 0 | 5 |
| FADAS: Towards Federated Adaptive Asynchronous Optimization | Jul 25, 2024 | Federated LearningPrivacy Preserving | CodeCode Available | 0 | 5 |
| Anonymisation Models for Text Data: State of the art, Challenges and Future Directions | Aug 1, 2021 | PositionPrivacy Preserving | CodeCode Available | 0 | 5 |
| Fair Federated Data Clustering through Personalization: Bridging the Gap between Diverse Data Distributions | Jul 5, 2024 | ClusteringPrivacy Preserving | CodeCode Available | 0 | 5 |
