Decentralized Optimization With Non-Identical Sampling In Presence Of Stragglers

We consider decentralized consensus optimization when workers sample data from non-identical distributions and perform variable amounts of work due to slow nodes known as stragglers. The problem of non-identical distributions and the problem of variable a
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