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Sreetama Sarkar
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Implementation of relay hopper model for reliable communication of IoT devices in LTE environment through D2D link
A Pradhan, S Basu, S Sarkar, S Mitra, SD Roy
2018 10th International Conference on Communication Systems & Networks …, 2018
142018
Adversarial Robust Model Compression Using In-Train Pruning
MR Vemparala, N Fasfous, A Frickenstein, S Sarkar, Q Zhao, S Kuhn, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
112021
Criticality Aware Soft Error Mitigation in the Configuration Memory of SRAM based FPGA
S Mandal, S Sarkar, WM Ming, A Chattopadhyay, A Chakrabarti
2019 32nd International Conference on VLSI Design and 2019 18th …, 2019
112019
Accelerating and pruning CNNs for semantic segmentation on FPGA
P Morì, MR Vemparala, N Fasfous, S Mitra, S Sarkar, A Frickenstein, ...
Proceedings of the 59th ACM/IEEE Design Automation Conference, 145-150, 2022
62022
Performance of different power control schemes for a hybrid LTE system with channel impairment
S Sarkar, S Mitra, T Nath, SD Roy
2017 International Electrical Engineering Congress (iEECON), 1-4, 2017
32017
Voltage Scaling for Partitioned Systolic Array in A Reconfigurable Platform
R Paul, S Sarkar, S Sau, K Chakraborty, S Roy, A Chakrabarti
arXiv preprint arXiv:2102.06888, 2021
22021
Technology-Circuit-Algorithm Tri-Design for Processing-in-Pixel-in-Memory (P2M)
MAA Kaiser, G Datta, S Sarkar, S Kundu, Z Yin, M Garg, AP Jacob, ...
arXiv preprint arXiv:2304.02968, 2023
12023
Accelerating and Pruning CNNs for Semantic Segmentation on FPGA
MR Vemparala, N Fasfous, P Mori, S Mitra, S Sarkar, A Frickenstein, ...
IEEE Press, 2022
12022
Linearizing Models for Efficient yet Robust Private Inference
S Sarkar, S Kundu, PA Beerel
arXiv preprint arXiv:2402.05521, 2024
2024
FixPix: Fixing Bad Pixels using Deep Learning
S Sarkar, X Ye, G Datta, PA Beerel
arXiv preprint arXiv:2310.11637, 2023
2023
Towards Power Efficient DNN Accelerator Design on Reconfigurable Platform
R Paul, S Sarkar, S Sau, K Chakraborty, S Roy, A Chakrabarti
arXiv preprint arXiv:2102.06888, 2021
2021
Supplementary Material Adversarial Robust Model Compression using In-Train Pruning
MR Vemparala, N Fasfous, A Frickenstein, S Sarkar, Q Zhao, S Kuhn, ...
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