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Found 6 papers, 1 papers with code
Two-terminal source coding with common sum reconstruction
We present the problem of two-terminal source coding with Common Sum Reconstruction (CSR).
Quantifying the Controllability of Coarsely Characterized Networked Dynamical Systems
In contrast, in this paper the controllability aspects of the coarse system are derived from coarse summaries {\em without} knowledge of the fine-scale structure.
Decentralized optimization with non-identical sampling in presence of stragglers
While we conclude that neither of the two heuristic methods are optimal, we also show that an optimal method does not exist.
Compressing gradients in distributed SGD by exploiting their temporal correlation
To the best of our knowledge we are the first to present a gradient compression scheme that exploits temporal correlation of gradients.
Anytime Stochastic Gradient Descent: A Time to Hear from all the Workers
In this paper, we focus on approaches to parallelizing stochastic gradient descent (SGD) wherein data is farmed out to a set of workers, the results of which, after a number of updates, are then combined at a central master node.
Proactive Message Passing on Memory Factor Networks
We introduce a new type of graphical model that we call a "memory factor network" (MFN).
