We present a novel distributed computing framework that is robust to slo...
The deployment and training of neural networks on edge computing devices...
We consider distributed optimization methods for problems where forming ...
Generative Adversarial Networks (GANs) are commonly used for modeling co...
Neural networks (NNs) have been extremely successful across many tasks i...
The training of two-layer neural networks with nonlinear activation func...
In distributed second order optimization, a standard strategy is to aver...
We consider distributed optimization problems where forming the Hessian ...
In this work, we study distributed sketching methods for large scale
reg...
We introduce a novel distributed derivative-free optimization framework ...
We propose a polar coding mechanism for distributed matrix multiplicatio...
We propose convex relaxations for convolutional neural nets with one hid...