| FeDa4Fair: Client-Level Federated Datasets for Fairness Evaluation | Jun 26, 2025 | AttributeBenchmarking | —Unverified | 0 |
| FedCRL: Personalized Federated Learning with Contrastive Shared Representations for Label Heterogeneity in Non-IID Data | Apr 27, 2024 | Contrastive LearningDistributed Computing | —Unverified | 0 |
| FedD2S: Personalized Data-Free Federated Knowledge Distillation | Feb 16, 2024 | Data-free Knowledge DistillationFairness | —Unverified | 0 |
| FedDriveScore: Federated Scoring Driving Behavior with a Mixture of Metric Distributions | Jan 13, 2024 | FairnessFederated Learning | —Unverified | 0 |
| FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning | Aug 4, 2022 | Deep Reinforcement LearningFairness | —Unverified | 0 |
| Entropy-driven Fair and Effective Federated Learning | Jan 29, 2023 | FairnessFederated Learning | —Unverified | 0 |
| Federated Active Learning (F-AL): an Efficient Annotation Strategy for Federated Learning | Feb 1, 2022 | Active LearningDistributed Optimization | —Unverified | 0 |
| A Scalable and Generalized Deep Learning Framework for Anomaly Detection in Surveillance Videos | Jul 17, 2024 | Anomaly DetectionAnomaly Detection In Surveillance Videos | —Unverified | 0 |
| Deciding What's Fair: Challenges of Applying Reinforcement Learning in Online Marketplaces | Oct 12, 2021 | Fairnessreinforcement-learning | —Unverified | 0 |
| FinML-Chain: A Blockchain-Integrated Dataset for Enhanced Financial Machine Learning | Nov 25, 2024 | Fairness | —Unverified | 0 |
