CIFAR10 cifar10 Leaderboard
Auto-discovered from papers reporting CIFAR10 (Accuracy). · Metric: Accuracy (higher is better)
| # | Model | Accuracy | Paper |
|---|---|---|---|
| 1 | FederatedFactory: Generative One-Shot Learning for Extremely Non-IID Distributed Scenarios | 90.57 | — |
| 2 | Robust Federated Learning via Byzantine Filtering over Encrypted Updates | 90.00 | — |
| 3 | ASA: Adaptive Smart Agent Federated Learning via Device-Aware Clustering for Heterogeneous IoT | 85.30 | — |
| 4 | JSAM: Privacy Straggler-Resilient Joint Client Selection and Incentive Mechanism Design in Differentially Private Federated Learning | 15.00 | — |
| 5 | Tackling Privacy Heterogeneity in Differentially Private Federated Learning | 10.00 | — |
| 6 | Prioritizing Gradient Sign Over Modulus: An Importance-Aware Framework for Wireless Federated Learning | 9.96 | — |
| 7 | Probabilistic Federated Learning on Uncertain and Heterogeneous Data with Model Personalization | 7.42 | — |
| 8 | Sample Selection Using Multi-Task Autoencoders in Federated Learning with Non-IID Data | 7.02 | — |
| 9 | Diffusion-Guided Semantic Consistency for Multimodal Heterogeneity | 5.49 | — |
| 10 | FedEMA-Distill: Exponential Moving Average Guided Knowledge Distillation for Robust Federated Learning | 5.00 | — |
| 11 | Collaborative Adaptive Curriculum for Progressive Knowledge Distillation | 4.50 | — |
| 12 | A Full Compression Pipeline for Green Federated Learning in Communication-Constrained Environments | 2.00 | — |