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08/08/2023
Preserving Sparsity and Privacy in Straggler-Resilient Distributed Matrix Computations
Existing approaches to distributed matrix computations involve allocatin...
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02/23/2023
Coded Matrix Computations for D2D-enabled Linearized Federated Learning
Federated learning (FL) is a popular technique for training a global mod...
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01/30/2023
Distributed Matrix Computations with Low-weight Encodings
Straggler nodes are well-known bottlenecks of distributed matrix computa...
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09/24/2021
A Unified Treatment of Partial Stragglers and Sparse Matrices in Coded Matrix Computation
The overall execution time of distributed matrix computations is often d...
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12/11/2020
Coded sparse matrix computation schemes that leverage partial stragglers
Distributed matrix computations over large clusters can suffer from the ...
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02/10/2020
Straggler-resistant distributed matrix computation via coding theory
The current BigData era routinely requires the processing of large scale...
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01/25/2019
