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4. Decentralized Optimization With Non-Identical Sampling In Presence Of Stragglers

Decentralized Optimization With Non-Identical Sampling In Presence Of Stragglers

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IEEE ICASSP 2020 Virtual Conference May 2020

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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Decentralized Optimization With Non-Identical Sampling In Presence Of Stragglers

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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