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248 results on '"Agrawal, Neha"'

9. List of contributors

Author

Acharya, Amitabha, primary, Agrawal, Neha, additional, Ahlawat, Navin, additional, Bajpai, Sangeeta, additional, Banaspati, Atrayee, additional, Bathla, Manik, additional, Batish, Daizy Rani, additional, Bhavsar, Kalpesh V., additional, Chandimala, U.R., additional, Dhushane, S., additional, Gaur, Pooja, additional, Gautam, Ayushi, additional, Guleria, Praveen, additional, Gupta, Ipsa, additional, Hasan, Ziaul, additional, Husain, Arbab, additional, Jagtap, Uday P., additional, Jandrotia, Rupali, additional, Kalita, Debajit, additional, Kamboj, Monika, additional, Khanam, Afreen, additional, Khare, Puja, additional, Kumar, Vineet, additional, Lateef, Muneera, additional, Mahajan, Priyanka, additional, Mandal, Mamun, additional, Mishra, Disha, additional, Pal, Probir Kumar, additional, Pandey, Garima, additional, Pandey, Versha, additional, Poonia, Amrita, additional, Prasai, Jiwan Raj, additional, Rajkhowa, Sanchayita, additional, Rao, Vasundhara, additional, Saini, Trilok Chand, additional, Sarkar, Abhijit, additional, Sarma, Jyotirmoy, additional, Sarmah, Nirupamjit, additional, Shanker, Karuna, additional, Sharma, Mansi, additional, Sharma, Priya, additional, Singh, Harminder Pal, additional, Singh, Pardeep, additional, Srivastav, Ajeet K., additional, Srivastava, Madhumita, additional, Srivastava, Nupur, additional, Swapana, Ningombam, additional, Tiwari, Neerja, additional, and Yadav, Anisha, additional

Published
2024
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10. Training Large-Vocabulary Neural Language Models by Private Federated Learning for Resource-Constrained Devices

Author

Xu, Mingbin, Song, Congzheng, Tian, Ye, Agrawal, Neha, Granqvist, Filip, van Dalen, Rogier, Zhang, Xiao, Argueta, Arturo, Han, Shiyi, Deng, Yaqiao, Liu, Leo, Walia, Anmol, and Jin, Alex

Subjects
Computer Science - Machine Learning, Computer Science - Computation and Language, Computer Science - Cryptography and Security
Abstract

Federated Learning (FL) is a technique to train models using data distributed across devices. Differential Privacy (DP) provides a formal privacy guarantee for sensitive data. Our goal is to train a large neural network language model (NNLM) on compute-constrained devices while preserving privacy using FL and DP. However, the DP-noise introduced to the model increases as the model size grows, which often prevents convergence. We propose Partial Embedding Updates (PEU), a novel technique to decrease noise by decreasing payload size. Furthermore, we adopt Low Rank Adaptation (LoRA) and Noise Contrastive Estimation (NCE) to reduce the memory demands of large models on compute-constrained devices. This combination of techniques makes it possible to train large-vocabulary language models while preserving accuracy and privacy.

Published
2022

18. Rings

Author

Khattar, Dinesh, Agrawal, Neha, Khattar, Dinesh, and Agrawal, Neha

Published
2023
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29. Groups

Author

Khattar, Dinesh, Agrawal, Neha, Khattar, Dinesh, and Agrawal, Neha

Published
2023
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40. Thermal Stability Analysis of Graded-Channel Dual-Material Double-Gate (GCDMDG) MOSFET for Analog Application

Author

Priya, Anjali, Gupta, Abhinav, Agrawal, Neha, Rai, Sanjeev, Mishra, Ram Awadh, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Dhawan, Amit, editor, Tripathi, Vijay Shanker, editor, Arya, Karm Veer, editor, and Naik, Kshirasagar, editor

Published
2022
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41. Vitiligo Prediction Using Autoencoder

Author

Agrawal, Neha, Aurelia, Sagaya, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Dutta, Soumi, editor, and Pelusi, Danilo, editor

Published
2022
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48. Superior hypogastric nerve plexus (SHNP) block for pain management after minimally invasive gynecology surgeries: A prospective randomized controlled trial.

Author

Agrawal, Neha, Singh, Pratibha, Goyal, Manu, Yadav, Garima, and Shekhar, Shashank

Abstract

Objectives Methods Results Conclusion Our study aimed to evaluate the effect of superior hypogastric nerve plexus (SHNP) block in postoperative pain management in the first 24 h after minimally invasive gynecological (MIG) surgeries.We conducted a double‐blinded, randomized controlled trial in the Department of Obstetrics and Gynecology at a tertiary care centre from May 1, 2023 to September 30, 2023 in women undergoing major MIG surgeries. At the completion of the surgery, women were randomized to the intervention group who received SHNP block with ropivacaine 10 mL (0.75%) before port removal, whereas no intervention was taken in the control group. The extubation time was noted, and the pain score was assessed after 1, 2, 6, 12, and 24 h of extubation in the postoperative period using the visual analog scale (VAS). Statistical analysis was done, with a significance level of 0.05, to test the differences between the two groups.A total of 64 patients were randomly allocated to intervention and control groups. The median pain score was lower at 1 and 2 h post‐extubation and comparable between the two groups at 6, 12, and 24 h. The surrogate markers that is need for additional analgesia and duration of stay did not differ significantly in the two groups, with P‐values of 0.08 and 0.943, respectively.Although the SHNP group experienced considerably lower immediate postoperative pain levels in the initial hours following extubation, the impact of this benefit remains uncertain in the longer postoperative period. The effectiveness of this modality for pain control needs further study, particularly at later postoperative hours. [ABSTRACT FROM AUTHOR]

Published
2024
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49. Comparison in Hemodynamic Effect Of Intrathercal Ropivacaine Heavy (0.75%) Vs Bupivacaine Heavy (0.5%) In Lower Limb Surgeries.

Author

Goyal, Nitin, Singh, Gaurav, and Agrawal, Neha

Subjects
ROPIVACAINE, BUPIVACAINE, ANESTHETICS, HEMODYNAMICS, CARDIOTOXICITY, SPINAL infusions
Abstract

Background: Spinal anesthesia is the most popular regional anesthesia technique for lower limb and lower abdominal surgery. Bupivacaine 0.5% heavy is commonly used for intrathecal use. New long-acting local anesthetic agents such as ropivacaine have claimed benefits of reduced cardiac toxicity on overdose and more specific effects on sensory rather than motor nerve fibers. The use of intrathecal hyperbaric ropivacaine is not much studied. With this background, we studied intrathecal ropivacaine hyperbaric 0.75% against intrathecal bupivacaine hyperbaric 0.5% for lower abdominal and lower limb surgery. Aims and Objectives: To note the effectiveness of intrathecal ropivacaine and bupivacaine on characteristics of subarachnoid block such as sensory block, motor block, hemodynamic parameters, and complications if any. Materials and Methods: We randomized patients undergoing lower abdominal surgeries and lower limb orthopedic surgeries under spinal anesthesia into two groups so as to receive intrathecal either ropivacaine 0.75% hyperbaric (3 mL) or bupivacaine 0.5% hyperbaric (3mL) and noted study parameters. Results: Time of sensory block onset (P=0.0005), peak sensory level (P=0.0029), and onset of L1 bromage-3 motor block (P=1.27E--08) was significantly delayed in the ropivacaine group as compared to bupivacaine group. However, maximum sensory level achieved (T6), time required for two-segment sensory regressions (P=0.1162), and time of onset of pain (P=0.1162) were comparable in both groups. Conclusion: Intrathecal ropivacaine 0.75% hyperbaric produced slow onset sensory and motor block than 0.5% hyperbaric bupivacaine with comparable cephalic spread and duration of sensory block. [ABSTRACT FROM AUTHOR]

Published
2024

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