-
Federated Multi-Task Learning
Federated learning poses new statistical and systems challenges in train...
05/30/2017 ∙ by Virginia Smith, et al. ∙
0
∙
share
read it
-
Solving Approximate Wasserstein GANs to Stationarity
Generative Adversarial Networks (GANs) are one of the most practical str...
02/22/2018 ∙ by Maziar Sanjabi, et al. ∙
0
∙
share
read it
-
On the Convergence of Federated Optimization in Heterogeneous Networks
The burgeoning field of federated learning involves training machine lea...
12/14/2018 ∙ by Anit Kumar Sahu, et al. ∙
0
∙
share
read it
-
Training generative networks using random discriminators
In recent years, Generative Adversarial Networks (GANs) have drawn a lot...
04/22/2019 ∙ by Babak Barazandeh, et al. ∙
0
∙
share
read it
-
Solving Non-Convex Non-Concave Min-Max Games Under Polyak-Łojasiewicz Condition
In this short note, we consider the problem of solving a min-max zero-su...
12/07/2018 ∙ by Maziar Sanjabi, et al. ∙
0
∙
share
read it
-
Fair Resource Allocation in Federated Learning
Federated learning involves training statistical models in massive, hete...
05/25/2019 ∙ by Tian Li, et al. ∙
0
∙
share
read it
-
When Does Non-Orthogonal Tensor Decomposition Have No Spurious Local Minima?
We study the optimization problem for decomposing d dimensional fourth-o...
11/22/2019 ∙ by Maziar Sanjabi, et al. ∙
0
∙
share
read it
