Decentralized Stochastic Gradient Descent (SGD) is an emerging neural ne...
The Stochastic Gradient Langevin Dynamics (SGLD) are popularly used to
a...
Decentralized optimization is an emerging paradigm in distributed learni...
The training of deep neural networks and other modern machine learning m...
Optimization problems with continuous data appear in, e.g., robust machi...