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Atal Narayan Sahu
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2020 – today
- 2023
- [c5]Ahmed M. Abdelmoniem
, Atal Narayan Sahu
REFL: Resource-Efficient Federated Learning. EuroSys 2023: 215-232 - 2022
- [c4]Samuel Horváth, Chen-Yu Ho, Ludovit Horvath, Atal Narayan Sahu, Marco Canini, Peter Richtárik:
Natural Compression for Distributed Deep Learning. MSML 2022: 129-141 - 2021
- [c3]Atal Narayan Sahu, Aritra Dutta, Ahmed M. Abdelmoniem, Trambak Banerjee, Marco Canini, Panos Kalnis:
Rethinking gradient sparsification as total error minimization. NeurIPS 2021: 8133-8146 - [c2]Jiawei Fei, Chen-Yu Ho
Efficient sparse collective communication and its application to accelerate distributed deep learning. SIGCOMM 2021: 676-691 - [i5]Atal Narayan Sahu, Aritra Dutta, Ahmed M. Abdelmoniem, Trambak Banerjee, Marco Canini
Rethinking gradient sparsification as total error minimization. CoRR abs/2108.00951 (2021) - [i4]Ahmed M. Abdelmoniem, Atal Narayan Sahu, Marco Canini
Resource-Efficient Federated Learning. CoRR abs/2111.01108 (2021) - 2020
- [c1]Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning. AAAI 2020: 3817-3824 - [i3]Atal Narayan Sahu, Aritra Dutta, Aashutosh Tiwari, Peter Richtárik
On the Convergence Analysis of Asynchronous SGD for Solving Consistent Linear Systems. CoRR abs/2004.02163 (2020)
2010 – 2019
- 2019
- [i2]Samuel Horváth
Natural Compression for Distributed Deep Learning. CoRR abs/1905.10988 (2019) - [i1]Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning. CoRR abs/1911.08250 (2019)
Coauthor Index
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