Anindya Bijoy Das

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 33

Top Topics

Reinforcement Learning

Information Exchange

Top Venues

IEEE J. Sel. Areas Inf. Theory

IEEE Trans. Inf. Theory

Publications

Myeung Suk Oh, Anindya Bijoy Das, Taejoon Kim, David J. Love, Christopher G. Brinton
Complexity Reduction in Machine Learning-Based Wireless Positioning: Minimum Description Features. CoRR (2024)
Myeung Suk Oh, Anindya Bijoy Das, Seyyedali Hosseinalipour, Taejoon Kim, David J. Love, Christopher G. Brinton
A Decentralized Pilot Assignment Algorithm for Scalable O-RAN Cell-Free Massive MIMO. IEEE J. Sel. Areas Commun. 42 (2) (2024)
Seohyun Lee, Anindya Bijoy Das, Satyavrat Wagle, Christopher G. Brinton
Smart Information Exchange for Unsupervised Federated Learning via Reinforcement Learning. CoRR (2024)
David Nickel, Anindya Bijoy Das, David J. Love, Christopher G. Brinton
Multi-Agent Hybrid SAC for Joint SS-DSA in CRNs. CoRR (2024)
Junghoon Kim, Taejoon Kim, Anindya Bijoy Das, Seyyedali Hosseinalipour, David J. Love, Christopher G. Brinton
Coding for Gaussian Two-Way Channels: Linear and Learning-Based Approaches. CoRR (2024)
Myeung Suk Oh, Anindya Bijoy Das, Taejoon Kim, David J. Love, Christopher G. Brinton
Minimum Description Feature Selection for Complexity Reduction in Machine Learning-based Wireless Positioning. CoRR (2024)
Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton
Distributed Matrix Computations with Low-weight Encodings. CoRR (2023)
Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton
Distributed Matrix Computations with Low-weight Encodings. ISIT (2023)
Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton
Coded Matrix Computations for D2D-enabled Linearized Federated Learning. CoRR (2023)
Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton
Coded Matrix Computations for D2D-Enabled Linearized Federated Learning. ICASSP (2023)
Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton
Preserving Sparsity and Privacy in Straggler-Resilient Distributed Matrix Computations. Allerton (2023)
Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton
Preserving Sparsity and Privacy in Straggler-Resilient Distributed Matrix Computations. CoRR (2023)
Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton
Distributed Matrix Computations With Low-Weight Encodings. IEEE J. Sel. Areas Inf. Theory 4 (2023)
Satyavrat Wagle, Anindya Bijoy Das, David J. Love, Christopher G. Brinton
A Reinforcement Learning-Based Approach to Graph Discovery in D2D-Enabled Federated Learning. GLOBECOM (2023)
Anindya Bijoy Das, Aditya Ramamoorthy
Coded Sparse Matrix Computation Schemes That Leverage Partial Stragglers. IEEE Trans. Inf. Theory 68 (6) (2022)
Anindya Bijoy Das, Aditya Ramamoorthy
An Integrated Method to Deal with Partial Stragglers and Sparse Matrices in Distributed Computations. ISIT (2022)
Anindya Bijoy Das, Aditya Ramamoorthy
A Unified Treatment of Partial Stragglers and Sparse Matrices in Coded Matrix Computation. IEEE J. Sel. Areas Inf. Theory 3 (2) (2022)
Anindya Bijoy Das, Aditya Ramamoorthy, Namrata Vaswani
Efficient and Robust Distributed Matrix Computations via Convolutional Coding. ISIT (2021)
Anindya Bijoy Das, Aditya Ramamoorthy
A Unified Treatment of Partial Stragglers and Sparse Matrices in Coded Matrix Computation. CoRR (2021)
Anindya Bijoy Das, Aditya Ramamoorthy, Namrata Vaswani
Efficient and Robust Distributed Matrix Computations via Convolutional Coding. IEEE Trans. Inf. Theory 67 (9) (2021)
Anindya Bijoy Das, Aditya Ramamoorthy
Coded sparse matrix computation schemes that leverage partial stragglers. ISIT (2021)
Anindya Bijoy Das, Aditya Ramamoorthy
A Unified Treatment of Partial Stragglers and Sparse Matrices in Coded Matrix Computation. ITW (2021)
Aditya Ramamoorthy, Anindya Bijoy Das, Li Tang
Straggler-resistant distributed matrix computation via coding theory. CoRR (2020)
Anindya Bijoy Das, Aditya Ramamoorthy
Coded sparse matrix computation schemes that leverage partial stragglers. CoRR (2020)
Aditya Ramamoorthy, Anindya Bijoy Das, Li Tang
Straggler-Resistant Distributed Matrix Computation via Coding Theory: Removing a Bottleneck in Large-Scale Data Processing. IEEE Signal Process. Mag. 37 (3) (2020)
Anindya Bijoy Das, Aditya Ramamoorthy, Namrata Vaswani
Random Convolutional Coding for Robust and Straggler Resilient Distributed Matrix Computation. CoRR (2019)
Anindya Bijoy Das, Aditya Ramamoorthy
Distributed Matrix-Vector Multiplication: A Convolutional Coding Approach. ISIT (2019)
Md Mosheyur Rahman, Mohammed Imamul Hassan Bhuiyan, Anindya Bijoy Das
Classification of focal and non-focal EEG signals in VMD-DWT domain using ensemble stacking. Biomed. Signal Process. Control. 50 (2019)
Anindya Bijoy Das, Aditya Ramamoorthy
Distributed Matrix-Vector Multiplication: A Convolutional Coding Approach. CoRR (2019)
Anindya Bijoy Das, Li Tang, Aditya Ramamoorthy
LES: Codes for Coded Computation that Leverage Stragglers. ITW (2018)
Anindya Bijoy Das, Li Tang, Aditya Ramamoorthy
LES: Codes for Coded Computation that Leverage Stragglers. CoRR (2018)
Anindya Bijoy Das, Mohammed Imamul Hassan Bhuiyan, S. M. Shafiul Alam
Classification of EEG signals using normal inverse Gaussian parameters in the dual-tree complex wavelet transform domain for seizure detection. Signal Image Video Process. 10 (2) (2016)
Anindya Bijoy Das, Mohammed Imamul Hassan Bhuiyan
Discrimination and classification of focal and non-focal EEG signals using entropy-based features in the EMD-DWT domain. Biomed. Signal Process. Control. 29 (2016)