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Pranay Sharma

A dynamic password-based user authentication scheme for hierarchical wireless sensor networks
2012 · Ashok Kumar Das, Pranay Sharma, et al. · Journal of Network and Computer Applications · 234
Removal of Hazardous Indigo Carmine Dye from Waste Water Using Treated Red Mud
2019 · A.Naga Babu, D.Srinivasa Reddy, et al. · Materials Today Proceedings · 72
Communication Network Topology Inference via Transfer Entropy
2019 · Pranay Sharma, Donald J. Bucci, et al. · IEEE Transactions on Network Science and Engineering · 57
Decentralized Gaussian Filters for Cooperative Self-Localization and Multi-Target Tracking
2019 · Pranay Sharma, Augustin-Alexandru Saucan, et al. · IEEE Transactions on Signal Processing · 55
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Dynamic Traffic Control with Fairness and Throughput Optimization Using Vehicular Communications
2013 · Lien-Wu Chen, P. Sharma, et al. · IEEE Journal on Selected Areas in Communications · 50
On Distributed Online Convex Optimization with Sublinear Dynamic Regret and Fit
2021 · Pranay Sharma, Prashant Khanduri, et al. · Asilomar Conference on Signals, Systems and Computers (ACSSC) · 28
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On the Convergence of Federated Averaging with Cyclic Client Participation
2023 · Cho, Yae Jee, Sharma, Pranay, et al. · arXiv (Cornell University) · 23
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FedVARP: Tackling the Variance Due to Partial Client Participation in Federated Learning
2022 · Jhunjhunwala, Divyansh, Sharma, Pranay, et al. · arXiv (Cornell University) · 18
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Federated Minimax Optimization: Improved Convergence Analyses and Algorithms
2022 · Sharma, Pranay, Panda, Rohan, et al. · arXiv (Cornell University) · 18
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Application of IoT and Machine Learning for Real-time Driver Monitoring and Assisting Device
2020 · Pranay Sharma, Naveksha Sood · International Conference on Computing, Communication and Networking Technologies (ICCCNT) · 17
Parallel Restarted SPIDER -- Communication Efficient Distributed Nonconvex Optimization with Optimal Computation Complexity
2019 · Sharma, Pranay, Kafle, Swatantra, et al. · arXiv (Cornell University) · 17
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Why Interpretability in Machine Learning? An Answer Using Distributed Detection and Data Fusion Theory
2018 · Varshney, Kush R., Khanduri, Prashant, et al. · arXiv (Cornell University) · 17
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On noise-enhanced distributed inference in the presence of Byzantines
2011 · Mukul Gagrani, Pranay Sharma, et al. · Allerton Conference on Communication, Control, and Computing · 17
High-probability Convergence Bounds for Nonlinear Stochastic Gradient Descent Under Heavy-tailed Noise
2023 · Armacki, Aleksandar, Sharma, Pranay, et al. · arXiv (Cornell University) · 13
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Federated Stochastic Approximation under Markov Noise and Heterogeneity: Applications in Reinforcement Learning
2022 · Khodadadian, Sajad, Sharma, Pranay, et al. · arXiv (Cornell University) · 13
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Byzantine Resilient Non-Convex SVRG with Distributed Batch Gradient Computations
2019 · Khanduri, Prashant, Bulusu, Saikiran, et al. · arXiv (Cornell University) · 12
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Real-time assessment of the Ganga river during pandemic COVID-19 and predictive data modeling by machine learning
2022 · J. Singh, S. Swaroop, et al. · International Journal of Environmental Science and Technology · 9
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On Distributed Stochastic Gradient Descent for Nonconvex Functions in the Presence of Byzantines
2020 · Saikiran Bulusu, Prashant Khanduri, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 7
Improving the Quality of Rice Husk Biochar Through Combined Pretreatment of Rice Husk and Copyrolysis with LDPE
2022 · Prakash Binnal, S. P. Manjunath, et al. · Journal of The Institution of Engineers (India) Series E · 6
Distributed Stochastic Non-Convex Optimization: Momentum-Based Variance Reduction
2020 · Khanduri, Prashant, Sharma, Pranay, et al. · arXiv (Cornell University) · 6
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What Is Missing in IRM Training and Evaluation? Challenges and Solutions
2023 · Zhang, Yihua, Sharma, Pranay, et al. · arXiv (Cornell University) · 5
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Federated Minimax Optimization with Client Heterogeneity
2023 · Sharma, Pranay, Panda, Rohan, et al. · arXiv (Cornell University) · 5
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Nonlinear Stochastic Gradient Descent and Heavy-tailed Noise: A Unified Framework and High-probability Guarantees
2024 · Armacki, Aleksandar, Yu, Shuhua, et al. · arXiv (Cornell University) · 4
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Zeroth-Order Hybrid Gradient Descent: Towards A Principled Black-Box Optimization Framework
2020 · Sharma, Pranay, Xu, Kaidi, et al. · arXiv (Cornell University) · 4
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On Self-Localization and Tracking with an Unknown Number of Targets
2018 · Pranay Sharma, Augustin-Alexandru Saucan, et al. · Asilomar Conference on Signals, Systems and Computers (ACSSC) · 4
Works count: 77
Citation count: 742
H-index: 13
I10-index: 16
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