Anindya Bijoy Das
Orcid: 0000-0002-3615-7400
According to our database1,
Anindya Bijoy Das
authored at least 25 papers
between 2016 and 2024.
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Bibliography
2024
Sparsity-Preserving Encodings for Straggler-Optimal Distributed Matrix Computations at the Edge.
IEEE Internet Things J., November, 2024
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
Challenging Fairness: A Comprehensive Exploration of Bias in LLM-Based Recommendations.
CoRR, 2024
CoRR, 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
2023
IEEE J. Sel. Areas Inf. Theory, 2023
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
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
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
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
Proceedings of the IEEE International Symposium on Information Theory, 2019
2018
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