| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| MNIST Severe Non-IID (Dirichlet α = 0.1) | FOFedAvg | Communication Rounds4 | 33 | 4d ago | |
| MNIST Severe Non-IID | FOFedAvg | Communication Cost (MB)24 | 33 | 4d ago | |
| Shakespeare | FEDADAVR-QUANT | Accuracy50.611 | 33 | 2d ago | |
| ACSIncome | Clust-PSI-PFL | Local Average Distance (AD)0.01 | 30 | 4d ago | |
| CIFAR-100 500 clients, 1% participation Dirichlet 0.3 (train test) | FedACG | Accuracy (500 Rounds)31.74 | 13 | 3d ago | |
| CIFAR-10 500 clients, 1% participation Dirichlet 0.3 (train test) | MOON | Accuracy (500 Rounds)64.55 | 13 | 3d ago | |
| Tiny-ImageNet (test) | FedACG | Accuracy (500R)31.47 | 13 | 3d ago | |
| CIFAR-10 (test) | FedACG | Accuracy (500R)73.61 | 13 | 3d ago | |
| CIFAR-100 100 clients Dirichlet 0.3 | FedACG | Accuracy (500 Rounds)49.56 | 13 | 3d ago | |
| CIFAR-10 100 clients Dirichlet 0.3 | FedDC | Accuracy (Round 500)77.76 | 13 | 3d ago | |
| Serengeti | Clust-PSI-PFL | Local Avg Distance (AD)0.01 | 12 | 4d ago | |
| Dolly-15K | FedHDS-Turbo | Speedup18.86 | 10 | 4d ago | |
| Natural Instructions (NI) | FedHDS-Turbo | Speedup48.8 | 10 | 4d ago | |
| CIFAR-10 standard | FEDADAVR | Rounds (Acc 20%)101 | 9 | 2d ago | |
| DomainNet (test) | Fed-CO2 | Clipart Score55 | 9 | 4d ago | |
| NC (test) | Test Accuracy85.8 | 8 | 4d ago | ||
| CIFAR-10 (train) | FedAvg | Time per Round (s)9.82 | 7 | 4d ago | |
| CIFAR-100 dynamic client updates (Dirichlet 0.3) | FedACG | Accuracy (500R)32.7 | 7 | 3d ago | |
| EMNIST | Median | Latency (s)0.031 | 5 | 4d ago | |
| FashionMNIST | Median | Computational Time (s)0.019 | 5 | 4d ago | |
| CSE-CIC-IDS 2018 | TMean | Latency (s)0.003 | 5 | 4d ago | |
| CIC-Darknet 2020 | Median | Time (s)0.002 | 5 | 4d ago | |
| NSL-KDD | FLTrust | Accuracy95.8 | 5 | 4d ago | |
| MNIST (test) | Local Training Time (h)5.16 | 3 | 4d ago | ||
| Amazon reviews | Clust-PSI-PFL | Local Average Distance (AD)0.03 | 2 | 4d ago |
