Anindya Bijoy Das

54 papers B 11Misc 1Journal 36Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cooperative Decentralized Backdoor Attacks on Vertical Federated Learning. IEEE Trans. Netw. Seohyun Lee, Wenzhi Fang, Anindya Bijoy Das, Seyyedali Hosseinalipour, David J. Love, Christopher G. Brinton
2025	J	`jnl`	Battling Misinformation: An Empirical Study on Adversarial Factuality in Open-Source Large Language Models. CoRR Shahnewaz Karim Sakib, Anindya Bijoy Das, Shibbir Ahmed
2025	J	`jnl`	Can Large Language Models Challenge CNNS in Medical Image Analysis? CoRR Shibbir Ahmed, Shahnewaz Karim Sakib, Anindya Bijoy Das
2025	J	`jnl`	Coding for Gaussian Two-Way Channels: Linear and Learning-Based Approaches. IEEE Trans. Inf. Theory Junghoon Kim, Taejoon Kim, Anindya Bijoy Das, Seyyedali Hosseinalipour, David J. Love, Christopher G. Brinton
2025	J	`jnl`	Cooperative Decentralized Backdoor Attacks on Vertical Federated Learning. CoRR Seohyun Lee, Wenzhi Fang, Anindya Bijoy Das, Seyyedali Hosseinalipour, David J. Love, Christopher G. Brinton
2025	J	`jnl`	Hallucinations and Key Information Extraction in Medical Texts: A Comprehensive Assessment of Open-Source Large Language Models. CoRR Anindya Bijoy Das, Shibbir Ahmed, Shahnewaz Karim Sakib
2025	J	`jnl`	Learning-Based Two-Way Communications: Algorithmic Framework and Comparative Analysis. IEEE Commun. Lett. David R. Nickel, Anindya Bijoy Das, David J. Love, Christopher G. Brinton
2025	J	`jnl`	Multi-Agent Reinforcement Learning for Graph Discovery in D2D-Enabled Federated Learning. IEEE J. Sel. Top. Signal Process. Satyavrat Wagle, Anindya Bijoy Das, David J. Love, Christopher G. Brinton
2025	B	`conf`	Performance Analysis of Open-Source LLMs for Visual Agricultural Intelligence. IEEE Big Data Arijit Ghosh, Anindya Bijoy Das
2025	—	`conf`	Trustworthy Medical Imaging with Large Language Models: A Study of Hallucinations Across Modalities. ICCVW Anindya Bijoy Das, Shahnewaz Karim Sakib, Shibbir Ahmed
2025	J	`jnl`	Trustworthy Medical Imaging with Large Language Models: A Study of Hallucinations Across Modalities. CoRR Anindya Bijoy Das, Shahnewaz Karim Sakib, Shibbir Ahmed
2024	J	`jnl`	A Decentralized Pilot Assignment Algorithm for Scalable O-RAN Cell-Free Massive MIMO. IEEE J. Sel. Areas Commun. Myeung Suk Oh, Anindya Bijoy Das, Seyyedali Hosseinalipour, Taejoon Kim, David J. Love, Christopher G. Brinton
2024	B	`conf`	Challenging Fairness: A Comprehensive Exploration of Bias in LLM-Based Recommendations. IEEE Big Data Shahnewaz Karim Sakib, Anindya Bijoy Das
2024	J	`jnl`	Challenging Fairness: A Comprehensive Exploration of Bias in LLM-Based Recommendations. CoRR Shahnewaz Karim Sakib, Anindya Bijoy Das
2024	J	`jnl`	Coding for Gaussian Two-Way Channels: Linear and Learning-Based Approaches. CoRR Junghoon Kim, Taejoon Kim, Anindya Bijoy Das, Seyyedali Hosseinalipour, David J. Love, Christopher G. Brinton
2024	—	`conf`	Complexity Reduction in Machine Learning-Based Wireless Positioning: Minimum Description Features. ICC Myeung Suk Oh, Anindya Bijoy Das, Taejoon Kim, David J. Love, Christopher G. Brinton
2024	J	`jnl`	Complexity Reduction in Machine Learning-Based Wireless Positioning: Minimum Description Features. CoRR Myeung Suk Oh, Anindya Bijoy Das, Taejoon Kim, David J. Love, Christopher G. Brinton
2024	—	`conf`	Constant Modulus Waveform Design with Block-Level Interference Exploitation for DFRC Systems. ICC Byunghyun Lee, Anindya Bijoy Das, David J. Love, Christopher G. Brinton, James V. Krogmeier
2024	J	`jnl`	Do Small Cells Make Sense for Simple Low Cost LPWANs? IEEE Wirel. Commun. Lett. Ashwin Natraj Arun, Anindya Bijoy Das, Christopher G. Brinton, David J. Love, James V. Krogmeier
2024	B	`conf`	Explainable Vertical Federated Learning for Healthcare: Ensuring Privacy and Optimal Accuracy. IEEE Big Data Shahnewaz Karim Sakib, Anindya Bijoy Das
2024	J	`jnl`	Minimum Description Feature Selection for Complexity Reduction in Machine Learning-Based Wireless Positioning. IEEE J. Sel. Areas Commun. Myeung Suk Oh, Anindya Bijoy Das, Taejoon Kim, David J. Love, Christopher G. Brinton
2024	J	`jnl`	Minimum Description Feature Selection for Complexity Reduction in Machine Learning-based Wireless Positioning. CoRR Myeung Suk Oh, Anindya Bijoy Das, Taejoon Kim, David J. Love, Christopher G. Brinton
2024	—	`conf`	Smart Information Exchange for Unsupervised Federated Learning via Reinforcement Learning. ICC Seohyun Lee, Anindya Bijoy Das, Satyavrat Wagle, Christopher G. Brinton
2024	J	`jnl`	Smart Information Exchange for Unsupervised Federated Learning via Reinforcement Learning. CoRR Seohyun Lee, Anindya Bijoy Das, Satyavrat Wagle, Christopher G. Brinton
2024	J	`jnl`	Sparsity-Preserving Encodings for Straggler-Optimal Distributed Matrix Computations at the Edge. CoRR Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton
2024	J	`jnl`	Sparsity-Preserving Encodings for Straggler-Optimal Distributed Matrix Computations at the Edge. IEEE Internet Things J. Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton
2023	B	`conf`	A Reinforcement Learning-Based Approach to Graph Discovery in D2D-Enabled Federated Learning. GLOBECOM Satyavrat Wagle, Anindya Bijoy Das, David J. Love, Christopher G. Brinton
2023	Misc	`conf`	Coded Matrix Computations for D2D-Enabled Linearized Federated Learning. ICASSP Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton
2023	J	`jnl`	Coded Matrix Computations for D2D-enabled Linearized Federated Learning. CoRR Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton
2023	J	`jnl`	Distributed Matrix Computations With Low-Weight Encodings. IEEE J. Sel. Areas Inf. Theory Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton
2023	B	`conf`	Distributed Matrix Computations with Low-weight Encodings. ISIT Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton
2023	J	`jnl`	Distributed Matrix Computations with Low-weight Encodings. CoRR Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton
2023	—	`conf`	Preserving Sparsity and Privacy in Straggler-Resilient Distributed Matrix Computations. Allerton Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton
2023	J	`jnl`	Preserving Sparsity and Privacy in Straggler-Resilient Distributed Matrix Computations. CoRR Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton
2022	J	`jnl`	A Unified Treatment of Partial Stragglers and Sparse Matrices in Coded Matrix Computation. IEEE J. Sel. Areas Inf. Theory Anindya Bijoy Das, Aditya Ramamoorthy
2022	B	`conf`	An Integrated Method to Deal with Partial Stragglers and Sparse Matrices in Distributed Computations. ISIT Anindya Bijoy Das, Aditya Ramamoorthy
2022	J	`jnl`	Coded Sparse Matrix Computation Schemes That Leverage Partial Stragglers. IEEE Trans. Inf. Theory Anindya Bijoy Das, Aditya Ramamoorthy
2022	—	`—`	Coded approaches for straggler-resilient distributed matrix computations: Numerical stability, sparsity and leveraging partial computations. Anindya Bijoy Das
2021	B	`conf`	A Unified Treatment of Partial Stragglers and Sparse Matrices in Coded Matrix Computation. ITW Anindya Bijoy Das, Aditya Ramamoorthy
2021	J	`jnl`	A Unified Treatment of Partial Stragglers and Sparse Matrices in Coded Matrix Computation. CoRR Anindya Bijoy Das, Aditya Ramamoorthy
2021	B	`conf`	Coded sparse matrix computation schemes that leverage partial stragglers. ISIT Anindya Bijoy Das, Aditya Ramamoorthy
2021	B	`conf`	Efficient and Robust Distributed Matrix Computations via Convolutional Coding. ISIT Anindya Bijoy Das, Aditya Ramamoorthy, Namrata Vaswani
2021	J	`jnl`	Efficient and Robust Distributed Matrix Computations via Convolutional Coding. IEEE Trans. Inf. Theory Anindya Bijoy Das, Aditya Ramamoorthy, Namrata Vaswani
2020	J	`jnl`	Coded sparse matrix computation schemes that leverage partial stragglers. CoRR Anindya Bijoy Das, Aditya Ramamoorthy
2020	J	`jnl`	Straggler-Resistant Distributed Matrix Computation via Coding Theory: Removing a Bottleneck in Large-Scale Data Processing. IEEE Signal Process. Mag. Aditya Ramamoorthy, Anindya Bijoy Das, Li Tang
2020	J	`jnl`	Straggler-resistant distributed matrix computation via coding theory. CoRR Aditya Ramamoorthy, Anindya Bijoy Das, Li Tang
2019	J	`jnl`	Classification of focal and non-focal EEG signals in VMD-DWT domain using ensemble stacking. Biomed. Signal Process. Control. Md Mosheyur Rahman, Mohammed Imamul Hassan Bhuiyan, Anindya Bijoy Das
2019	B	`conf`	Distributed Matrix-Vector Multiplication: A Convolutional Coding Approach. ISIT Anindya Bijoy Das, Aditya Ramamoorthy
2019	J	`jnl`	Distributed Matrix-Vector Multiplication: A Convolutional Coding Approach. CoRR Anindya Bijoy Das, Aditya Ramamoorthy
2019	J	`jnl`	Random Convolutional Coding for Robust and Straggler Resilient Distributed Matrix Computation. CoRR Anindya Bijoy Das, Aditya Ramamoorthy, Namrata Vaswani
2018	B	`conf`	C ITW Anindya Bijoy Das, Li Tang, Aditya Ramamoorthy
2018	J	`jnl`	C CoRR Anindya Bijoy Das, Li Tang, Aditya Ramamoorthy
2016	J	`jnl`	Classification of EEG signals using normal inverse Gaussian parameters in the dual-tree complex wavelet transform domain for seizure detection. Signal Image Video Process. Anindya Bijoy Das, Mohammed Imamul Hassan Bhuiyan, S. M. Shafiul Alam
2016	J	`jnl`	Discrimination and classification of focal and non-focal EEG signals using entropy-based features in the EMD-DWT domain. Biomed. Signal Process. Control. Anindya Bijoy Das, Mohammed Imamul Hassan Bhuiyan