| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | TinyImageNet (test) | Accuracy90.23 | 366 | |
| Image Classification | TinyImageNet (val) | Accuracy90.65 | 240 | |
| Image Classification | TinyImageNet (test) | Communication Rounds342 | 56 | |
| Image Classification | TinyImageNet 100 tasks (test) | Accuracy33.2 | 51 | |
| Continual Learning | TinyImageNet 100 tasks (test) | Average Forgetting Rate11.7 | 51 | |
| Multi-class classification | TinyImageNet Dirichlet non-IID setting (test) | Top-5 Acc52.9 | 33 | |
| Online Continual Learning | TinyImageNet 100/2 | Accuracy12.6 | 31 | |
| Generative Image Synthesis | TinyImageNet | FID15.43 | 29 | |
| Generative Image Synthesis | TinyImageNet BigGAN | FID14.15 | 29 | |
| Class-Incremental Learning | TinyImageNet (test) | Accuracy52.77 | 29 | |
| Continual Learning | TinyImageNet 25-split | ACC58.28 | 29 | |
| Accuracy Estimation | TinyImageNet | MAE0.612 | 27 | |
| Image Classification | TinyImageNet (test) | Accuracy64.23 | 24 | |
| Membership Inference | TinyImageNet | Loss0.51 | 23 | |
| Communication Overhead | TinyImageNet (test) | Upload Size20.48 | 21 | |
| Online Continual Learning | TinyImageNet Sequential (test) | Accuracy15.97 | 21 | |
| Exemplar-Free Class-Incremental Learning | TinyImageNet (test) | Avg Increment36.5 | 18 | |
| Open-set recognition | TinyImageNet 20 closed, 180 open classes 1.0 | AUROC86.7 | 18 | |
| Image Classification | TinyImageNet et = 1/255 (val) | Standard Error74.29 | 18 | |
| Image Classification | TinyImageNet (test) | Accuracy74.69 | 16 | |
| Membership Inference Defense | TinyImageNet (test) | AUC (Loss-Series)0.7 | 15 | |
| Anomaly Detection | TinyImageNet 20 classes | AUROC0.911 | 15 | |
| Offline Task-Incremental Learning | S-TinyImageNet (test) | Forgetting13.1 | 15 | |
| Offline Class-Incremental Learning | S-TinyImageNet (test) | Forgetting Rate31.06 | 15 | |
| Continual Learning | S-TinyImageNet streaming (test) | Forgetting Rate (FRG)6.89 | 15 |