| AdRo-FL: Informed and Secure Client Selection for Federated Learning in the Presence of Adversarial Aggregator | Jun 21, 2025 | Federated LearningPrivacy Preserving | —Unverified | 0 | 0 |
| Advancements in Federated Learning: Models, Methods, and Privacy | Feb 22, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 | 0 |
| Advances in Robust Federated Learning: Heterogeneity Considerations | May 16, 2024 | DiversityFederated Learning | —Unverified | 0 | 0 |
| Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review and Research Roadmap | Mar 19, 2024 | Autonomous DrivingAutonomous Vehicles | —Unverified | 0 | 0 |
| Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond | Sep 1, 2023 | FairnessFederated Learning | —Unverified | 0 | 0 |
| Advancing Personalized Federated Learning: Integrative Approaches with AI for Enhanced Privacy and Customization | Jan 30, 2025 | Decision MakingFederated Learning | —Unverified | 0 | 0 |
| Adversarial Learning of Privacy-Preserving and Task-Oriented Representations | Nov 22, 2019 | AttributeBIG-bench Machine Learning | —Unverified | 0 | 0 |
| Adversarial Test on Learnable Image Encryption | Jul 31, 2019 | Adversarial RobustnessPrivacy Preserving | —Unverified | 0 | 0 |
| Aegis: A Trusted, Automatic and Accurate Verification Framework for Vertical Federated Learning | Aug 16, 2021 | Federated LearningPrivacy Preserving | —Unverified | 0 | 0 |
| A Fair and Efficient Hybrid Federated Learning Framework based on XGBoost for Distributed Power Prediction | Jan 8, 2022 | FairnessFederated Learning | —Unverified | 0 | 0 |
