Communication overhead measurement on Private vector-wise filtering setup phase
0.01Communication Overhead (GB)ABBR-Multi-Krum
Evaluation Results
| Method | Links | |
|---|---|---|
| ABBR-Multi-KrumModel=CNN, Number of parameters=266k, Number of clients=4, Framework=ABBR2025.12 | 0.01 | |
| ABBR-FoolsGoldModel=CNN, Number of parameters=266k, Number of clients=4, Framework=ABBR2025.12 | 0.03 | |
| ABBR-FLAMEModel=CNN, Number of parameters=266k, Number of clients=4, Framework=ABBR2025.12 | 0.03 | |
| ABBR-FABAModel=CNN, Number of parameters=266k, Number of clients=4, Framework=ABBR2025.12 | 0.05 | |
| ABBR-Multi-KrumModel=CNN, Number of parameters=266k, Number of clients=8, Framework=ABBR2025.12 | 0.11 | |
| ABBR-FLAMEModel=CNN, Number of parameters=266k, Number of clients=8, Framework=ABBR2025.12 | 0.15 | |
| ABBR-FoolsGoldModel=CNN, Number of parameters=266k, Number of clients=8, Framework=ABBR2025.12 | 0.16 | |
| ABBR-FABAModel=CNN, Number of parameters=266k, Number of clients=8, Framework=ABBR2025.12 | 0.27 | |
| ABBR-Multi-KrumModel=CNN, Number of parameters=266k, Number of clients=16, Framework=ABBR2025.12 | 0.65 | |
| ABBR-FLAMEModel=CNN, Number of parameters=266k, Number of clients=16, Framework=ABBR2025.12 | 0.74 | |
| ABBR-FoolsGoldModel=CNN, Number of parameters=266k, Number of clients=16, Framework=ABBR2025.12 | 0.78 | |
| ABBR-FABAModel=CNN, Number of parameters=266k, Number of clients=16, Framework=ABBR2025.12 | 1.41 | |
| ABBR-Multi-KrumModel=CNN, Number of parameters=266k, Number of clients=32, Framework=ABBR2025.12 | 3.46 | |
| ABBR-FLAMEModel=CNN, Number of parameters=266k, Number of clients=32, Framework=ABBR2025.12 | 3.54 | |
| ABBR-FoolsGoldModel=CNN, Number of parameters=266k, Number of clients=32, Framework=ABBR2025.12 | 3.88 | |
| Multi-KrumModel=CNN, Number of parameters=266k, Number of clients=4, Framework=Baseline2025.12 | 4.56 | |
| ABBR-FABAModel=CNN, Number of parameters=266k, Number of clients=32, Framework=ABBR2025.12 | 6.93 | |
| FoolsGoldModel=CNN, Number of parameters=266k, Number of clients=4, Framework=Baseline2025.12 | 7.61 | |
| FLAMEModel=CNN, Number of parameters=266k, Number of clients=4, Framework=Baseline2025.12 | 7.61 | |
| FABAModel=CNN, Number of parameters=266k, Number of clients=4, Framework=Baseline2025.12 | 12 | |
| ABBR-Multi-KrumModel=CNN, Number of parameters=266k, Number of clients=64, Framework=ABBR2025.12 | 17 | |
| ABBR-FLAMEModel=CNN, Number of parameters=266k, Number of clients=64, Framework=ABBR2025.12 | 17 | |
| ABBR-Multi-KrumModel=ResNet-18, Number of parameters=11M, Number of clients=64, Framework=ABBR2025.12 | 17 | |
| ABBR-FoolsGoldModel=CNN, Number of parameters=266k, Number of clients=64, Framework=ABBR2025.12 | 19 | |
| Multi-KrumModel=CNN, Number of parameters=266k, Number of clients=8, Framework=Baseline2025.12 | 21 | |
| FoolsGoldModel=CNN, Number of parameters=266k, Number of clients=8, Framework=Baseline2025.12 | 27 | |
| FLAMEModel=CNN, Number of parameters=266k, Number of clients=8, Framework=Baseline2025.12 | 27 | |
| ABBR-FABAModel=CNN, Number of parameters=266k, Number of clients=64, Framework=ABBR2025.12 | 33 | |
| FABAModel=CNN, Number of parameters=266k, Number of clients=8, Framework=Baseline2025.12 | 49 | |
| ABBR-FLAMEModel=CNN, Number of parameters=266k, Number of clients=128, Framework=ABBR2025.12 | 77 | |
| ABBR-Multi-KrumModel=CNN, Number of parameters=266k, Number of clients=128, Framework=ABBR2025.12 | 85 | |
| ABBR-Multi-KrumModel=ResNet-18 Light, Number of parameters=2.8M, Number of clients=128, Framework=ABBR2025.12 | 85 | |
| ABBR-Multi-KrumModel=ResNet-18, Number of parameters=11M, Number of clients=128, Framework=ABBR2025.12 | 85 | |
| Multi-KrumModel=CNN, Number of parameters=266k, Number of clients=16, Framework=Baseline2025.12 | 91 | |
| ABBR-FoolsGoldModel=CNN, Number of parameters=266k, Number of clients=128, Framework=ABBR2025.12 | 99 | |
| FoolsGoldModel=CNN, Number of parameters=266k, Number of clients=16, Framework=Baseline2025.12 | 104 | |
| FLAMEModel=CNN, Number of parameters=266k, Number of clients=16, Framework=Baseline2025.12 | 104 | |
| ABBR-FABAModel=CNN, Number of parameters=266k, Number of clients=128, Framework=ABBR2025.12 | 154 | |
| FABAModel=CNN, Number of parameters=266k, Number of clients=16, Framework=Baseline2025.12 | 195 | |
| Multi-KrumModel=CNN, Number of parameters=266k, Number of clients=32, Framework=Baseline2025.12 | 378 | |
| FoolsGoldModel=CNN, Number of parameters=266k, Number of clients=32, Framework=Baseline2025.12 | 402 | |
| FLAMEModel=CNN, Number of parameters=266k, Number of clients=32, Framework=Baseline2025.12 | 402 | |
| FABAModel=CNN, Number of parameters=266k, Number of clients=32, Framework=Baseline2025.12 | 779 | |
| Multi-KrumModel=CNN, Number of parameters=266k, Number of clients=64, Framework=Baseline2025.12 | 1,535 | |
| FLAMEModel=CNN, Number of parameters=266k, Number of clients=64, Framework=Baseline2025.12 | 1,583 | |
| FoolsGoldModel=CNN, Number of parameters=266k, Number of clients=64, Framework=Baseline2025.12 | 1,586 | |
| FABAModel=CNN, Number of parameters=266k, Number of clients=64, Framework=Baseline2025.12 | 3,118 | |
| Multi-KrumModel=CNN, Number of parameters=266k, Number of clients=128, Framework=Baseline2025.12 | 6,194 | |
| FLAMEModel=CNN, Number of parameters=266k, Number of clients=128, Framework=Baseline2025.12 | 6,285 | |
| FoolsGoldModel=CNN, Number of parameters=266k, Number of clients=128, Framework=Baseline2025.12 | 6,307 | |
| FABAModel=CNN, Number of parameters=266k, Number of clients=128, Framework=Baseline2025.12 | 12,473 |