To improve computational efficiency, the algorithm employs a distributed computing framework, efficiently distributing computational tasks across multiple computing units. Through a parallel ...

distributed stochastic gradient descent intensively invokes all-reduce operations for gradient update, which dominates communication time during iterative training epochs. In this work, we identify ...

In a milestone that brings quantum computing tangibly closer to large-scale practical use, scientists at Oxford University Physics have demonstrated the first instance of distributed quantum ...