Image Classification on MNIST (i.i.d.)
99.08Test AccuracyEdgeFD
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| EdgeFD2025.08 | 99.08 | — | — | — | — | |
| IndLearn2025.08 | 98.83 | — | — | — | — | |
| FedMD2025.08 | 98.63 | — | — | — | — | |
| Selective-FD2025.08 | 98.6 | — | — | — | — | |
| DS-FL2025.08 | 98.56 | — | — | — | — | |
| PLS2025.08 | 98.48 | — | — | — | — | |
| FKD2025.08 | 98.44 | — | — | — | — | |
| FedED2025.08 | 98.26 | — | — | — | — | |
| FedMPDDBytes Budget=150000000, Target Acc=60, m=600, Backbone=CNN [66], Attack=[63]2025.12 | 93.26 | 64,320,000 | — | 0.17 | — | |
| FedMPDDBytes Budget=150000000, Target Acc=60, m=900, Backbone=CNN [66], Attack=[63]2025.12 | 91.46 | 86,400,000 | — | 0.28 | — | |
| FedMPDDBytes Budget=150000000, Target Acc=60, m=1500, Backbone=CNN [66], Attack=[63]2025.12 | 59.46 | 146,400,000 | — | 0.28 | — | |
| QSGDBytes Budget=150000000, Target Acc=60, bit-width=8-bit, Backbone=CNN [66], Attack=[63]2025.12 | 14.56 | 977,460,000 | — | 0.64 | — | |
| FedSGDBytes Budget=150000000, Target Acc=60, Backbone=CNN [66], Attack=[63]2025.12 | 10.4 | 3,980,569,600 | — | 0.81 | — | |
| FedSGD + LaplaceBytes Budget=150000000, Target Acc=60, variance=0.01, Backbone=CNN [66], Attack=[63]2025.12 | 10.33 | 3,625,161,600 | — | 0.13 | — | |
| FedSGD + LaplaceBytes Budget=150000000, Target Acc=60, variance=0.001, Backbone=CNN [66], Attack=[63]2025.12 | 10.3 | 4,193,814,400 | — | 0.48 | — |