Communication Cost on MNIST (Image Classification)
0.001Communication Cost (GB)AsynFLC-EF(top3+Q2b)
Evaluation Results
| Method | Links | |
|---|---|---|
| AsynFLC-EF(top3+Q2b)Model=MLP, Target Accuracy=85%2025.04 | 0.001 | |
| AsynFLC-EF(top3+Q4b)Model=MLP, Target Accuracy=85%2025.04 | 0.002 | |
| AsynFLC-EF(top6+Q4b)Model=MLP, Target Accuracy=85%2025.04 | 0.004 | |
| AsynFLC-EF(top3+Q8b)Model=MLP, Target Accuracy=85%2025.04 | 0.004 | |
| AsynFLC-EF(top10+Q4b)Model=MLP, Target Accuracy=85%2025.04 | 0.006 | |
| AsynFLC-EF(top3)Model=MLP, Target Accuracy=85%2025.04 | 0.02 | |
| AsynFLC(top3)Model=MLP, Target Accuracy=85%2025.04 | 0.03 | |
| AsynFLC-EF(top6)Model=MLP, Target Accuracy=85%2025.04 | 0.04 | |
| AsynFLC(Q4b)Model=MLP, Target Accuracy=85%2025.04 | 0.05 | |
| AsynFLC-EF(top10)Model=MLP, Target Accuracy=85%2025.04 | 0.05 | |
| AsynFLModel=MLP, Target Accuracy=85%2025.04 | 0.39 | |
| FedBuffModel=MLP, Target Accuracy=85%2025.04 | 0.41 |