Atal Narayan Sahu

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 10

Top Topics

Top Venues

Publications

Ahmed M. Abdelmoniem, Atal Narayan Sahu, Marco Canini, Suhaib A. Fahmy
REFL: Resource-Efficient Federated Learning. EuroSys (2023)
Samuel Horváth, Chen-Yu Ho, Ludovit Horvath, Atal Narayan Sahu, Marco Canini, Peter Richtárik
Natural Compression for Distributed Deep Learning. MSML (2022)
Jiawei Fei, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Amedeo Sapio
Efficient sparse collective communication and its application to accelerate distributed deep learning. SIGCOMM (2021)
Atal Narayan Sahu, Aritra Dutta, Ahmed M. Abdelmoniem, Trambak Banerjee, Marco Canini, Panos Kalnis
Rethinking gradient sparsification as total error minimization. NeurIPS (2021)
Atal Narayan Sahu, Aritra Dutta, Ahmed M. Abdelmoniem, Trambak Banerjee, Marco Canini, Panos Kalnis
Rethinking gradient sparsification as total error minimization. CoRR (2021)
Ahmed M. Abdelmoniem, Atal Narayan Sahu, Marco Canini, Suhaib A. Fahmy
Resource-Efficient Federated Learning. CoRR (2021)
Atal Narayan Sahu, Aritra Dutta, Aashutosh Tiwari, Peter Richtárik
On the Convergence Analysis of Asynchronous SGD for Solving Consistent Linear Systems. CoRR (2020)
Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Panos Kalnis
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning. AAAI (2020)
Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Panos Kalnis
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning. CoRR (2019)
Samuel Horvath, Chen-Yu Ho, Ludovit Horvath, Atal Narayan Sahu, Marco Canini, Peter Richtárik
Natural Compression for Distributed Deep Learning. CoRR (2019)