Federated Learning on CIFAR-100 (500 clients, 1% participation, Dirichlet 0.3)
31.74Accuracy (500 Rounds)FedACG
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| FedACGParticipation rate=1%, Dirichlet parameter=0.3, Network cost per round=1x2022.01 | 31.74 | 45.18 | 581 | |
| FedDecorrParticipation rate=1%, Dirichlet parameter=0.3, Network cost per round=1x2022.01 | 31.03 | 38.7 | 705 | |
| FedMLBParticipation rate=1%, Dirichlet parameter=0.3, Network cost per round=1x2022.01 | 29.78 | 39.64 | 724 | |
| FedAvgMParticipation rate=1%, Dirichlet parameter=0.3, Network cost per round=1x2022.01 | 29.29 | 39.36 | 755 | |
| FedDCParticipation rate=1%, Dirichlet parameter=0.3, Network cost per round=2x2022.01 | 29.14 | 38.84 | 789 | |
| MOONParticipation rate=1%, Dirichlet parameter=0.3, Network cost per round=1x2022.01 | 28.29 | 36.37 | 886 | |
| FedDynParticipation rate=1%, Dirichlet parameter=0.3, Network cost per round=1x2022.01 | 27.86 | 36.31 | 896 | |
| FedLCParticipation rate=1%, Dirichlet parameter=0.3, Network cost per round=1x2022.01 | 27.73 | 35.24 | 918 | |
| FedNTDParticipation rate=1%, Dirichlet parameter=0.3, Network cost per round=1x2022.01 | 27.56 | 35.86 | 932 | |
| FedAvgParticipation rate=1%, Dirichlet parameter=0.3, Network cost per round=1x2022.01 | 26.94 | 35.69 | 950 | |
| FedProxParticipation rate=1%, Dirichlet parameter=0.3, Network cost per round=1x2022.01 | 26.92 | 35.41 | 963 | |
| FedADAMParticipation rate=1%, Dirichlet parameter=0.3, Network cost per round=1x2022.01 | 18.21 | 23.7 | 1,000 | |
| FedCMParticipation rate=1%, Dirichlet parameter=0.3, Network cost per round=1.5x2022.01 | 16.32 | 22.59 | 1,000 |