Unified view connects CoCoA and ADMM for distributed ERM.
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COCOA can learn new tasks without forgetting previously learned ones in a distributed setting.
Communication remains the most significant bottleneck in the performance of distributed optimization algorithms for large-scale machine learning. In this paper, we propose a communication-efficient framework, CoCoA, that uses local computation in a primal-dual setting to dramatically reduce the amount of necessary comm…
In this paper we experimentally analyze the convergence behavior of CoCoA and show, that the number of workers required to achieve the highest convergence rate at any point in time, changes over the course of the training. Based on this observation, we build Chicle, an elastic framework that dynamically adjusts the num…
TinyBayes detects crop diseases from images on edge devices with high accuracy and minimal resources.
COCOA improves credit assignment in reinforcement learning by measuring contributions to rewards.