Image Classification on CIFAR-100 VGG-11 (test)
11Communication RoundsGradMA
Evaluation Results
| Method | Links | |
|---|---|---|
| GradMAomega=1.0, S=5, target accuracy=15%, backbone=VGG-112023.02 | 11 | |
| GradMA-Somega=1.0, S=5, target accuracy=15%, backbone=VGG-112023.02 | 14 | |
| MIFAMomega=1.0, S=5, target accuracy=15%, backbone=VGG-112023.02 | 25 | |
| MIFAomega=1.0, S=5, target accuracy=15%, backbone=VGG-112023.02 | 54 | |
| FedMLBomega=1.0, S=5, target accuracy=15%, backbone=VGG-112023.02 | 63 | |
| FedProxMomega=1.0, S=5, target accuracy=15%, backbone=VGG-112023.02 | 67 | |
| FedMLBMomega=1.0, S=5, target accuracy=15%, backbone=VGG-112023.02 | 69 | |
| FedAvgMomega=1.0, S=5, target accuracy=15%, backbone=VGG-112023.02 | 73 | |
| Feddynomega=1.0, S=5, target accuracy=15%, backbone=VGG-112023.02 | 83 | |
| MOONMomega=1.0, S=5, target accuracy=15%, backbone=VGG-112023.02 | 85 | |
| FedAvgomega=1.0, S=5, target accuracy=15%, backbone=VGG-112023.02 | 106 | |
| MimeLiteomega=1.0, S=5, target accuracy=15%, backbone=VGG-11, communication load=2x per round2023.02 | 134 | |
| GradMA-Womega=1.0, S=5, target accuracy=15%, backbone=VGG-112023.02 | 136 | |
| FedProxomega=1.0, S=5, target accuracy=15%, backbone=VGG-112023.02 | 197 | |
| MOONomega=1.0, S=5, target accuracy=15%, backbone=VGG-112023.02 | 247 | |
| GradMAomega=1.0, S=50, target accuracy=40%, backbone=VGG-112023.02 | 253 | |
| GradMA-Somega=1.0, S=50, target accuracy=40%, backbone=VGG-112023.02 | 266 | |
| GradMAomega=1.0, S=10, target accuracy=30%, backbone=VGG-112023.02 | 274 | |
| GradMA-Somega=1.0, S=10, target accuracy=30%, backbone=VGG-112023.02 | 297 | |
| MimeLiteomega=1.0, S=50, target accuracy=40%, backbone=VGG-11, communication load=2x per round2023.02 | 329 | |
| MimeLiteomega=1.0, S=10, target accuracy=30%, backbone=VGG-11, communication load=2x per round2023.02 | 355 | |
| Feddynomega=1.0, S=50, target accuracy=40%, backbone=VGG-112023.02 | 356 | |
| GradMA-Womega=1.0, S=10, target accuracy=30%, backbone=VGG-112023.02 | 389 | |
| FedAvgMomega=1.0, S=50, target accuracy=40%, backbone=VGG-112023.02 | 397 | |
| FedProxMomega=1.0, S=50, target accuracy=40%, backbone=VGG-112023.02 | 397 | |
| MOONMomega=1.0, S=50, target accuracy=40%, backbone=VGG-112023.02 | 417 | |
| GradMA-Womega=1.0, S=50, target accuracy=40%, backbone=VGG-112023.02 | 420 | |
| FedProxomega=1.0, S=10, target accuracy=30%, backbone=VGG-112023.02 | 429 | |
| FedAvgMomega=1.0, S=10, target accuracy=30%, backbone=VGG-112023.02 | 429 | |
| FedAvgomega=1.0, S=50, target accuracy=40%, backbone=VGG-112023.02 | 435 | |
| FedProxomega=1.0, S=50, target accuracy=40%, backbone=VGG-112023.02 | 435 | |
| FedAvgomega=1.0, S=10, target accuracy=30%, backbone=VGG-112023.02 | 437 | |
| Feddynomega=1.0, S=10, target accuracy=30%, backbone=VGG-112023.02 | 441 | |
| MOONomega=1.0, S=50, target accuracy=40%, backbone=VGG-112023.02 | 458 | |
| MOONMomega=1.0, S=10, target accuracy=30%, backbone=VGG-112023.02 | 461 | |
| FedProxMomega=1.0, S=10, target accuracy=30%, backbone=VGG-112023.02 | 468 | |
| MOONomega=1.0, S=10, target accuracy=30%, backbone=VGG-112023.02 | 475 | |
| FedMLBomega=1.0, S=10, target accuracy=30%, backbone=VGG-112023.02 | 511 | |
| FedMLBMomega=1.0, S=10, target accuracy=30%, backbone=VGG-112023.02 | 522 | |
| FedMLBMomega=1.0, S=50, target accuracy=40%, backbone=VGG-112023.02 | 522 | |
| MIFAMomega=1.0, S=50, target accuracy=40%, backbone=VGG-112023.02 | 547 | |
| FedMLBomega=1.0, S=50, target accuracy=40%, backbone=VGG-112023.02 | 548 | |
| GradMAomega=1.0, S=50, target accuracy=60%, backbone=VGG-112023.02 | 559 | |
| MIFAomega=1.0, S=50, target accuracy=40%, backbone=VGG-112023.02 | 567 | |
| GradMA-Somega=1.0, S=50, target accuracy=60%, backbone=VGG-112023.02 | 579 | |
| MIFAomega=1.0, S=10, target accuracy=30%, backbone=VGG-112023.02 | 631 | |
| FedAvgMomega=1.0, S=50, target accuracy=60%, backbone=VGG-112023.02 | 654 | |
| FedProxMomega=1.0, S=50, target accuracy=60%, backbone=VGG-112023.02 | 665 | |
| MimeLiteomega=1.0, S=50, target accuracy=60%, backbone=VGG-11, communication load=2x per round2023.02 | 675 | |
| MIFAMomega=1.0, S=10, target accuracy=30%, backbone=VGG-112023.02 | 677 | |
| MOONMomega=1.0, S=50, target accuracy=60%, backbone=VGG-112023.02 | 697 | |
| Feddynomega=1.0, S=50, target accuracy=60%, backbone=VGG-112023.02 | 736 | |
| Scaffoldomega=1.0, S=10, target accuracy=30%, backbone=VGG-11, communication load=2x per round2023.02 | 806 | |
| MIFAMomega=1.0, S=50, target accuracy=60%, backbone=VGG-112023.02 | 883 | |
| FedMLBMomega=1.0, S=50, target accuracy=60%, backbone=VGG-112023.02 | 922 | |
| GradMA-Womega=1.0, S=50, target accuracy=60%, backbone=VGG-112023.02 | 1,027 | |
| FedAvgomega=1.0, S=50, target accuracy=60%, backbone=VGG-112023.02 | 1,071 | |
| MIFAomega=1.0, S=50, target accuracy=60%, backbone=VGG-112023.02 | 1,075 | |
| FedProxomega=1.0, S=50, target accuracy=60%, backbone=VGG-112023.02 | 1,081 | |
| MOONomega=1.0, S=50, target accuracy=60%, backbone=VGG-112023.02 | 1,088 | |
| FedMLBomega=1.0, S=50, target accuracy=60%, backbone=VGG-112023.02 | 1,404 |