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Private Learning on Networks: Part II
This paper considers a distributed multi-agent optimization problem, with the global objective consisting of the sum of local objective functions of the agents.
Private Learning on Networks
In a distributed machine learning scenario, the dataset is stored among several machines and they solve a distributed optimization problem to collectively learn the underlying model.
Distributed Optimization of Convex Sum of Non-Convex Functions
We present a distributed solution to optimizing a convex function composed of several non-convex functions.
Distributed Optimization for Client-Server Architecture with Negative Gradient Weights
We present an algorithm for the recently proposed multi-parameter-server architecture.
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