MNIST mnist Leaderboard
Auto-discovered from papers reporting MNIST (Accuracy). · Metric: Accuracy (higher is better)
| # | Model | Accuracy | Paper |
|---|---|---|---|
| 1 | ASA: Adaptive Smart Agent Federated Learning via Device-Aware Clustering for Heterogeneous IoT | 98.89 | — |
| 2 | TinyGuard:A lightweight Byzantine Defense for Resource-Constrained Federated Learning via Statistical Update Fingerprints | 95.00 | — |
| 3 | QuantFL: Sustainable Federated Learning for Edge IoT via Pre-Trained Model Quantisation | 89.00 | — |
| 4 | JSAM: Privacy Straggler-Resilient Joint Client Selection and Incentive Mechanism Design in Differentially Private Federated Learning | 15.00 | — |
| 5 | SI-ChainFL: Shapley-Incentivized Secure Federated Learning for High-Speed Rail Data Sharing | 14.12 | — |
| 6 | Sample Selection Using Multi-Task Autoencoders in Federated Learning with Non-IID Data | 1.83 | — |