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The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication
In this paper, we provide new lower bounds for local SGD under existing first-order data heterogeneity assumptions, showing that these assumptions are insufficient to prove the effectiveness of local update steps.
Segmentation of Lungs COVID Infected Regions by Attention Mechanism and Synthetic Data
Hence, infected patients can get better service from the healthcare system and decrease the number of deaths caused by the coronavirus.
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