Federated Optimization on Strongly convex setting
1Communication Complexity BoundFedLin
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| FedLinClient sample=No, Stochastic Gradient=No2026.03 | 1 | 2 | |
| S-Local-GDClient sample=No, Stochastic Gradient=No2026.03 | 1 | 2 | |
| FedBCGD+Client sample=Yes, Stochastic Gradient=Yes2026.03 | 1 | 2 | |
| DIANALT=✗, CC=✓2022.10 | 1 | — | |
| FedAvgClient sample=Yes, Stochastic Gradient=Yes2026.03 | 2 | — | |
| FedBCGDClient sample=Yes, Stochastic Gradient=Yes2026.03 | 2 | — | |
| SCAFFOLDClient sample=Yes, Stochastic Gradient=Yes2026.03 | 2 | 2 | |
| BVR-L-SGDClient sample=Yes, Stochastic Gradient=Yes2026.03 | — | 3 | |
| CE-LSGDClient sample=Yes, Stochastic Gradient=Yes2026.03 | — | 3 |