Anindya Bijoy Das

Orcid: 0000-0002-3615-7400

According to our database1, Anindya Bijoy Das authored at least 30 papers between 2016 and 2025.

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

Timeline

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Bibliography

2025
Coding for Gaussian Two-Way Channels: Linear and Learning-Based Approaches.
IEEE Trans. Inf. Theory, July, 2025

Can Large Language Models Challenge CNNS in Medical Image Analysis?
CoRR, May, 2025

Hallucinations and Key Information Extraction in Medical Texts: A Comprehensive Assessment of Open-Source Large Language Models.
CoRR, April, 2025

Battling Misinformation: An Empirical Study on Adversarial Factuality in Open-Source Large Language Models.
CoRR, March, 2025

Cooperative Decentralized Backdoor Attacks on Vertical Federated Learning.
CoRR, January, 2025

2024
Sparsity-Preserving Encodings for Straggler-Optimal Distributed Matrix Computations at the Edge.
IEEE Internet Things J., November, 2024

Do Small Cells Make Sense for Simple Low Cost LPWANs?
IEEE Wirel. Commun. Lett., September, 2024

Minimum Description Feature Selection for Complexity Reduction in Machine Learning-Based Wireless Positioning.
IEEE J. Sel. Areas Commun., September, 2024

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

Complexity Reduction in Machine Learning-Based Wireless Positioning: Minimum Description Features.
Proceedings of the IEEE International Conference on Communications, 2024

Smart Information Exchange for Unsupervised Federated Learning via Reinforcement Learning.
Proceedings of the IEEE International Conference on Communications, 2024

Constant Modulus Waveform Design with Block-Level Interference Exploitation for DFRC Systems.
Proceedings of the IEEE International Conference on Communications, 2024

Explainable Vertical Federated Learning for Healthcare: Ensuring Privacy and Optimal Accuracy.
Proceedings of the IEEE International Conference on Big Data, 2024

Challenging Fairness: A Comprehensive Exploration of Bias in LLM-Based Recommendations.
Proceedings of the IEEE International Conference on Big Data, 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


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