Search Results - "Praneeth Vepakomma" :: K.UTB vyhledávací portál

DAVED: Data Acquisition via Experimental Design for Data Markets

by Lu, Charles, Huang, Baihe, Karimireddy, Sai Praneeth, Vepakomma, Praneeth, Jordan, Michael, Raskar, Ramesh
Year of Publication 20.03.2024

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DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images

by Tasneem, Zaid, Dave, Akshat, Singh, Abhishek, Tiwary, Kushagra, Vepakomma, Praneeth, Veeraraghavan, Ashok, Raskar, Ramesh
Year of Publication 19.03.2024

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Exact Aggregation for Federated and Efficient Fine-Tuning of Foundation Models

by Singhal, Raghav, Ponkshe, Kaustubh, Praneeth Vepakomma
Published in arXiv.org (12.10.2024)

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DEVICE AND METHOD FOR GENERATING A CRIME TYPE COMBINATION BASED ON HISTORICAL INCIDENT DATA

by Vepakomma Praneeth
Year of Publication 22.03.2018

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Patent

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Splintering with distributions: A stochastic decoy scheme for private computation

by Vepakomma, Praneeth, Balla, Julia, Raskar, Ramesh
Year of Publication 06.07.2020

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Privacy-Preserving Split Learning with Vision Transformers using Patch-Wise Random and Noisy CutMix

by Oh, Seungeun, Baek, Sihun, Park, Jihong, Nam, Hyelin, Vepakomma, Praneeth, Raskar, Ramesh, Bennis, Mehdi, Kim, Seong-Lyun
Year of Publication 02.08.2024

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Combinatorics of Distance Covariance: Inclusion-Minimal Maximizers of Quasi-Concave Set Functions for Diverse Variable Selection

by Vepakomma, Praneeth, Kempner, Yulia
Year of Publication 17.02.2017

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SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Models

by Lin, Zheng, Hu, Xuanjie, Zhang, Yuxin, Chen, Zhe, Fang, Zihan, Chen, Xianhao, Li, Ang, Vepakomma, Praneeth, Gao, Yue
Year of Publication 01.07.2024

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AirMixML: Over-the-Air Data Mixup for Inherently Privacy-Preserving Edge Machine Learning

by Koda, Yusuke, Park, Jihong, Bennis, Mehdi, Vepakomma, Praneeth, Raskar, Ramesh
Published in 2021 IEEE Global Communications Conference (GLOBECOM) (01.12.2021)

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Conference Proceeding

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Optimal bandwidth estimation for a fast manifold learning algorithm to detect circular structure in high-dimensional data

by Pal, Susovan, Vepakomma, Praneeth
Year of Publication 28.12.2016

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Journal Article

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AirMixML: Over-the-Air Data Mixup for Inherently Privacy-Preserving Edge Machine Learning

by Koda, Yusuke, Park, Jihong, Bennis, Mehdi, Vepakomma, Praneeth, Raskar, Ramesh
Year of Publication 02.05.2021

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Private independence testing across two parties

by Vepakomma, Praneeth, Amiri, Mohammad Mohammadi, Canonne, Clément L, Raskar, Ramesh, Pentland, Alex
Year of Publication 07.07.2022

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Visual Transformer Meets CutMix for Improved Accuracy, Communication Efficiency, and Data Privacy in Split Learning

by Baek, Sihun, Park, Jihong, Vepakomma, Praneeth, Raskar, Ramesh, Bennis, Mehdi, Kim, Seong-Lyun
Year of Publication 01.07.2022

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Differentially Private Fréchet Mean on the Manifold of Symmetric Positive Definite (SPD) Matrices with log-Euclidean Metric

by Saiteja Utpala, Praneeth Vepakomma, Miolane, Nina
Published in arXiv.org (10.02.2023)

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Paper

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NoPeek: Information leakage reduction to share activations in distributed deep learning

by Vepakomma, Praneeth, Singh, Abhishek, Gupta, Otkrist, Raskar, Ramesh
Year of Publication 20.08.2020

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PPContactTracing: A Privacy-Preserving Contact Tracing Protocol for COVID-19 Pandemic

by Singh, Priyanka, Singh, Abhishek, Cojocaru, Gabriel, Vepakomma, Praneeth, Raskar, Ramesh
Year of Publication 15.08.2020

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Decouple-and-Sample: Protecting sensitive information in task agnostic data release

by Singh, Abhishek, Garza, Ethan, Chopra, Ayush, Vepakomma, Praneeth, Sharma, Vivek, Raskar, Ramesh
Year of Publication 17.03.2022

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Acknowledgement to Reviewers of JSAN in 2016

by JSAN Editorial Office
Published in Journal of sensor and actuator networks (01.01.2017)

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Differentially Private CutMix for Split Learning with Vision Transformer

by Oh, Seungeun, Park, Jihong, Baek, Sihun, Nam, Hyelin, Vepakomma, Praneeth, Raskar, Ramesh, Bennis, Mehdi, Kim, Seong-Lyun
Year of Publication 28.10.2022

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Server-Side Local Gradient Averaging and Learning Rate Acceleration for Scalable Split Learning

by Pal, Shraman, Uniyal, Mansi, Park, Jihong, Vepakomma, Praneeth, Raskar, Ramesh, Bennis, Mehdi, Jeon, Moongu, Choi, Jinho
Year of Publication 11.12.2021

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Journal Article

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