Publications

For the full list, see my Google Scholar profile.

1. REFL: Resource-Efficient Federated Learning

   Ahmed M. Abdelmoniem, Atal Narayan Sahu, Marco Canini, Suhaib A. Fahmy

   ACM EuroSys 2023

   Paper

2. On the Convergence Analysis of Asynchronous SGD for Solving Consistent Linear Systems

   Atal Narayan Sahu, Aritra Dutta, Aashutosh Tiwari, Peter Richtárik

   Linear Algebra and Its Applications, 2023

   Paper

3. Natural Compression for Distributed Deep Learning

   Samuel Horváth, Chen-Yu Ho, Ludovít Horváth, Atal Narayan Sahu, Marco Canini, Peter Richtárik

   MSML 2022

   Paper

4. Rethinking Gradient Sparsification as Total Error Minimization

   Atal Narayan Sahu, Aritra Dutta, Ahmed M. Abdelmoniem, Trambak Banerjee, Marco Canini, Panos Kalnis

   NeurIPS 2021 Spotlight

   Paper

5. Efficient Sparse Collective Communication and Its Application to Accelerate Distributed Deep Learning

   Jiawei Fei, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Amedeo Sapio

   ACM SIGCOMM 2021

   Paper

6. On the Discrepancy Between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning

   Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Panos Kalnis

   AAAI 2020

   Paper