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Aditya Ramamoorthy
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Publications
- 2023
- [j36]Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton:
Distributed Matrix Computations With Low-Weight Encodings. IEEE J. Sel. Areas Inf. Theory 4: 363-378 (2023) - [c62]Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton:
Preserving Sparsity and Privacy in Straggler-Resilient Distributed Matrix Computations. Allerton 2023: 1-8 - [c61]Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton:
Coded Matrix Computations for D2D-Enabled Linearized Federated Learning. ICASSP 2023: 1-5 - [c60]Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton:
Distributed Matrix Computations with Low-weight Encodings. ISIT 2023: 1979-1984 - [i56]Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton:
Distributed Matrix Computations with Low-weight Encodings. CoRR abs/2301.12685 (2023) - [i55]Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton:
Coded Matrix Computations for D2D-enabled Linearized Federated Learning. CoRR abs/2302.12305 (2023) - [i52]Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton:
Preserving Sparsity and Privacy in Straggler-Resilient Distributed Matrix Computations. CoRR abs/2308.04331 (2023) - 2022
- [j35]Anindya Bijoy Das, Aditya Ramamoorthy:
A Unified Treatment of Partial Stragglers and Sparse Matrices in Coded Matrix Computation. IEEE J. Sel. Areas Inf. Theory 3(2): 241-256 (2022) - [j33]Anindya Bijoy Das, Aditya Ramamoorthy:
Coded Sparse Matrix Computation Schemes That Leverage Partial Stragglers. IEEE Trans. Inf. Theory 68(6): 4156-4181 (2022) - [c57]Anindya Bijoy Das, Aditya Ramamoorthy:
An Integrated Method to Deal with Partial Stragglers and Sparse Matrices in Distributed Computations. ISIT 2022: 1010-1015 - 2021
- [j30]Anindya Bijoy Das, Aditya Ramamoorthy, Namrata Vaswani:
Efficient and Robust Distributed Matrix Computations via Convolutional Coding. IEEE Trans. Inf. Theory 67(9): 6266-6282 (2021) - [c55]Anindya Bijoy Das, Aditya Ramamoorthy:
Coded sparse matrix computation schemes that leverage partial stragglers. ISIT 2021: 1570-1575 - [c53]Anindya Bijoy Das, Aditya Ramamoorthy, Namrata Vaswani:
Efficient and Robust Distributed Matrix Computations via Convolutional Coding. ISIT 2021: 1724-1729 - [c52]Anindya Bijoy Das, Aditya Ramamoorthy:
A Unified Treatment of Partial Stragglers and Sparse Matrices in Coded Matrix Computation. ITW 2021: 1-6 - [i49]Anindya Bijoy Das, Aditya Ramamoorthy:
A Unified Treatment of Partial Stragglers and Sparse Matrices in Coded Matrix Computation. CoRR abs/2109.12070 (2021) - 2020
- [j29]Aditya Ramamoorthy, Anindya Bijoy Das, Li Tang:
Straggler-Resistant Distributed Matrix Computation via Coding Theory: Removing a Bottleneck in Large-Scale Data Processing. IEEE Signal Process. Mag. 37(3): 136-145 (2020) - [i48]Aditya Ramamoorthy, Anindya Bijoy Das, Li Tang:
Straggler-resistant distributed matrix computation via coding theory. CoRR abs/2002.03515 (2020) - [i45]Anindya Bijoy Das, Aditya Ramamoorthy:
Coded sparse matrix computation schemes that leverage partial stragglers. CoRR abs/2012.06065 (2020) - 2019
- [c48]Anindya Bijoy Das, Aditya Ramamoorthy:
Distributed Matrix-Vector Multiplication: A Convolutional Coding Approach. ISIT 2019: 3022-3026 - [i43]Anindya Bijoy Das, Aditya Ramamoorthy:
Distributed Matrix-Vector Multiplication: A Convolutional Coding Approach. CoRR abs/1901.08716 (2019) - [i40]Anindya Bijoy Das, Aditya Ramamoorthy, Namrata Vaswani:
Random Convolutional Coding for Robust and Straggler Resilient Distributed Matrix Computation. CoRR abs/1907.08064 (2019) - 2018
- [c46]Anindya Bijoy Das, Li Tang, Aditya Ramamoorthy:
C3LES: Codes for Coded Computation that Leverage Stragglers. ITW 2018: 1-5 - [i35]Anindya Bijoy Das, Li Tang, Aditya Ramamoorthy:
C3LES: Codes for Coded Computation that Leverage Stragglers. CoRR abs/1809.06242 (2018)
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