Error-correcting codes have found many applications in machine learning.

The main idea istouseagenerator to synthesize data for training the student.

In addition, only the foreground categories are considered.

In particular, the fixed forward diffusion process is given by (for the "variance-preserving" SDE [67], which we use.

Similarly, a user may want to interpolate different shapes.(iii)

Personalized federated learning (PFL) has been widely investigated to address the challenge of data heterogeneity, especially when a single generic model is inadequate in satisfying the diverse performance requirements of local clients simultaneously.