Anindya Bijoy Das

Orcid: 0000-0002-3615-7400

According to our database1, Anindya Bijoy Das authored at least 20 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
A Decentralized Pilot Assignment Algorithm for Scalable O-RAN Cell-Free Massive MIMO.
IEEE J. Sel. Areas Commun., February, 2024

Smart Information Exchange for Unsupervised Federated Learning via Reinforcement Learning.
CoRR, 2024

Complexity Reduction in Machine Learning-Based Wireless Positioning: Minimum Description Features.
CoRR, 2024

Coding for Gaussian Two-Way Channels: Linear and Learning-Based Approaches.
CoRR, 2024

2023
Distributed Matrix Computations With Low-Weight Encodings.
IEEE J. Sel. Areas Inf. Theory, 2023

Coded Matrix Computations for D2D-Enabled Linearized Federated Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

A Reinforcement Learning-Based Approach to Graph Discovery in D2D-Enabled Federated Learning.
Proceedings of the IEEE Global Communications Conference, 2023

Preserving Sparsity and Privacy in Straggler-Resilient Distributed Matrix Computations.
Proceedings of the 59th Annual Allerton Conference on Communication, 2023

2022
Coded Sparse Matrix Computation Schemes That Leverage Partial Stragglers.
IEEE Trans. Inf. Theory, 2022

A Unified Treatment of Partial Stragglers and Sparse Matrices in Coded Matrix Computation.
IEEE J. Sel. Areas Inf. Theory, 2022

An Integrated Method to Deal with Partial Stragglers and Sparse Matrices in Distributed Computations.
Proceedings of the IEEE International Symposium on Information Theory, 2022

2021
Efficient and Robust Distributed Matrix Computations via Convolutional Coding.
IEEE Trans. Inf. Theory, 2021

2020
Straggler-Resistant Distributed Matrix Computation via Coding Theory: Removing a Bottleneck in Large-Scale Data Processing.
IEEE Signal Process. Mag., 2020

Straggler-resistant distributed matrix computation via coding theory.
CoRR, 2020

2019
Random Convolutional Coding for Robust and Straggler Resilient Distributed Matrix Computation.
CoRR, 2019

Classification of focal and non-focal EEG signals in VMD-DWT domain using ensemble stacking.
Biomed. Signal Process. Control., 2019

Distributed Matrix-Vector Multiplication: A Convolutional Coding Approach.
Proceedings of the IEEE International Symposium on Information Theory, 2019

2018
C<sup>3</sup>LES: Codes for Coded Computation that Leverage Stragglers.
Proceedings of the IEEE Information Theory Workshop, 2018

2016
Classification of EEG signals using normal inverse Gaussian parameters in the dual-tree complex wavelet transform domain for seizure detection.
Signal Image Video Process., 2016

Discrimination and classification of focal and non-focal EEG signals using entropy-based features in the EMD-DWT domain.
Biomed. Signal Process. Control., 2016


  Loading...