Image Classification on CIFAR-10 (Communication Cost Analysis)
0.72Communication Cost (GB)AsynFLC-EF(top3+Q2b)
Evaluation Results
| Method | Links | |
|---|---|---|
| AsynFLC-EF(top3+Q2b)Model=CNN, Target Accuracy=55%2025.04 | 0.72 | |
| AsynFLC-EF(top3+Q2b)Model=AlexNet, Target Accuracy=55%2025.04 | 0.89 | |
| AsynFLC-EF(top3+Q4b)Model=CNN, Target Accuracy=55%2025.04 | 1.41 | |
| AsynFLC-EF(top3+Q4b)Model=AlexNet, Target Accuracy=55%2025.04 | 1.96 | |
| AsynFLC-EF(top6+Q4b)Model=CNN, Target Accuracy=55%2025.04 | 2.77 | |
| AsynFLC-EF(top3+Q8b)Model=CNN, Target Accuracy=55%2025.04 | 2.84 | |
| AsynFLC-EF(top6+Q4b)Model=AlexNet, Target Accuracy=55%2025.04 | 3.68 | |
| AsynFLC-EF(top3+Q8b)Model=AlexNet, Target Accuracy=55%2025.04 | 3.95 | |
| AsynFLC-EF(top10+Q4b)Model=CNN, Target Accuracy=55%2025.04 | 4.57 | |
| AsynFLC-EF(top10+Q4b)Model=AlexNet, Target Accuracy=55%2025.04 | 5.88 | |
| AsynFLC-EF(top3)Model=CNN, Target Accuracy=55%2025.04 | 11.43 | |
| AsynFLC(top3)Model=AlexNet, Target Accuracy=55%2025.04 | 15.4 | |
| AsynFLC-EF(top3)Model=AlexNet, Target Accuracy=55%2025.04 | 15.71 | |
| AsynFLC-EF(top6)Model=CNN, Target Accuracy=55%2025.04 | 22.38 | |
| AsynFLC(top3)Model=CNN, Target Accuracy=55%2025.04 | 26.75 | |
| AsynFLC-EF(top6)Model=AlexNet, Target Accuracy=55%2025.04 | 29.69 | |
| AsynFLC-EF(top10)Model=CNN, Target Accuracy=55%2025.04 | 36.67 | |
| AsynFLC(Q4b)Model=CNN, Target Accuracy=55%2025.04 | 45.38 | |
| AsynFLC-EF(top10)Model=AlexNet, Target Accuracy=55%2025.04 | 47.94 | |
| AsynFLC(Q4b)Model=AlexNet, Target Accuracy=55%2025.04 | 92.08 | |
| AsynFLModel=CNN, Target Accuracy=55%2025.04 | 364.43 | |
| FedBuffModel=CNN, Target Accuracy=55%2025.04 | 497.67 | |
| AsynFLModel=AlexNet, Target Accuracy=55%2025.04 | 765.66 | |
| FedBuffModel=AlexNet, Target Accuracy=55%2025.04 | 1,078.75 |