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A Unified Theory of Decentralized SGD with Changing Topology and Local Updates
Decentralized stochastic optimization methods have gained a lot of attention recently, mainly because of their cheap per iteration cost, data locality, and their communication-efficiency.
Simplicial Complex Networks
Universal approximation property of neural networks is one of the motivations to use these models in various real-world problems.
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