Image Classification on Omniglot 50 clients (test)
81.89AccuracypFedHN-PC
Evaluation results
| Method | Links | |
|---|---|---|
| pFedHN-PCNumber of clients=50, Backbone=LeNet (4 conv + 2 FC)2021.03 | 81.89 | |
| Per-FedAvgNumber of clients=50, Backbone=LeNet (4 conv + 2 FC)2021.03 | 76.46 | |
| LG-FedAvgNumber of clients=50, Backbone=LeNet (4 conv + 2 FC)2021.03 | 72.99 | |
| pFedHNNumber of clients=50, Backbone=LeNet (4 conv + 2 FC)2021.03 | 72.03 | |
| pFedMeNumber of clients=50, Backbone=LeNet (4 conv + 2 FC)2021.03 | 69.98 | |
| FedPerNumber of clients=50, Backbone=LeNet (4 conv + 2 FC)2021.03 | 69.92 | |
| LocalNumber of clients=50, Backbone=LeNet (4 conv + 2 FC)2021.03 | 65.97 | |
| FedAvgNumber of clients=50, Backbone=LeNet (4 conv + 2 FC)2021.03 | 41.61 |