Existing methods can be broadly divided into two categories:importance sampling(IS) based and model-based [58].

Tianren constrained Advances Processing, 2020.

We consider distributed convex optimization problems in the regime when the communication between the server and the workers is expensive in both uplink and downlink directions.

Unlikepriorworkon individual fairness, we do not assume the similarity measure among individuals is known, nor do we assume that such measure takes a certain parametric form.

D2C uses a learned diffusion-based prior over the latent representations to improve generation and contrastive selfsupervised learning to improve representation quality.