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stat.ML2022
Communication-efficient distributed eigenspace estimation with arbitrary node failures
Vasileios Charisopoulos, Anil Damle
We develop an eigenspace estimation algorithm for distributed environments with arbitrary node failures, where a subset of computing nodes can return structurally valid but otherwi…
stat.ML2020
Communication-efficient distributed eigenspace estimation
Vasileios Charisopoulos, Austin R. Benson, Anil Damle
Distributed computing is a standard way to scale up machine learning and data science algorithms to process large amounts of data. In such settings, avoiding communication amongst…