|
Name | Type | Definition |
|
| Function | Loss function in multitask learning |
| Function | Regularization function in multitask learning |
| Function | Conjugate dual functions of and |
| Function | Local subproblem in federated learning |
| Function | Trace of the matrix |
| Function | The exp function |
| Matrix | Image data |
| Matrix | Weighted matrix of samples within tasks |
| Matrix | Identity matrix |
| Matrix | Image feature matrix |
| Matrix | Weighted matrix among tasks |
| Matrix | Affinity matrix among tasks |
| Matrix | Symmetric positive definite matrix defined as |
| Vector | The dual variables |
| Vector | Primal variables |
| Vector | Information transferred among devices |
| Scalar | Parameter to control the updating speed of the federated model |
| Scalar | Parameter to control the global and local weights. |
| Scalar | Parameter to control the contribution of task relationships |
| Scalar | The number of nearest neighbors |
| Scalar | The number of local nodes |
|