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Effects of Privacy-Inducing Noise on Welfare and Influence of Referendum Systems
Effects of Privacy-Inducing Noise on Welfare and Influence of Referendum Systems
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Effects of Privacy-Inducing Noise on Welfare and Influence of Referendum Systems

Evren, Suat ; Vepakomma, Praneeth

arXiv.org, 2023-09

Ithaca: Cornell University Library, arXiv.org

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2
Splintering with distributions: A stochastic decoy scheme for private computation
Splintering with distributions: A stochastic decoy scheme for private computation
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Splintering with distributions: A stochastic decoy scheme for private computation

Praneeth Vepakomma ; Balla, Julia ; Raskar, Ramesh

arXiv.org, 2022-01

Ithaca: Cornell University Library, arXiv.org

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3
Private measurement of nonlinear correlations between data hosted across multiple parties
Private measurement of nonlinear correlations between data hosted across multiple parties
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Private measurement of nonlinear correlations between data hosted across multiple parties

Praneeth Vepakomma ; Pushpita, Subha Nawer ; Raskar, Ramesh

arXiv.org, 2021-11

Ithaca: Cornell University Library, arXiv.org

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4
PrivateMail: Supervised Manifold Learning of Deep Features With Differential Privacy for Image Retrieval
PrivateMail: Supervised Manifold Learning of Deep Features With Differential Privacy for Image Retrieval
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PrivateMail: Supervised Manifold Learning of Deep Features With Differential Privacy for Image Retrieval

Praneeth Vepakomma ; Balla, Julia ; Raskar, Ramesh

arXiv.org, 2021-10

Ithaca: Cornell University Library, arXiv.org

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5
DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images
DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images
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DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images

Zaid Tasneem ; Akshat Dave ; Singh, Abhishek ; Tiwary, Kushagra ; Praneeth Vepakomma ; Veeraraghavan, Ashok ; Raskar, Ramesh

arXiv.org, 2024-03

Ithaca: Cornell University Library, arXiv.org

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6
Parallel Quasi-concave set optimization: A new frontier that scales without needing submodularity
Parallel Quasi-concave set optimization: A new frontier that scales without needing submodularity
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Parallel Quasi-concave set optimization: A new frontier that scales without needing submodularity

Praneeth Vepakomma ; Kempner, Yulia ; Raskar, Ramesh

arXiv.org, 2021-08

Ithaca: Cornell University Library, arXiv.org

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7
Data Acquisition via Experimental Design for Decentralized Data Markets
Data Acquisition via Experimental Design for Decentralized Data Markets
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Data Acquisition via Experimental Design for Decentralized Data Markets

Lu, Charles ; Huang, Baihe ; Sai Praneeth Karimireddy ; Praneeth Vepakomma ; Jordan, Michael ; Raskar, Ramesh

arXiv.org, 2024-03

Ithaca: Cornell University Library, arXiv.org

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8
Private independence testing across two parties
Private independence testing across two parties
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Private independence testing across two parties

Praneeth Vepakomma ; Mohammad Mohammadi Amiri ; Canonne, Clément L ; Raskar, Ramesh ; Pentland, Alex

arXiv.org, 2023-09

Ithaca: Cornell University Library, arXiv.org

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9
SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Models
SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Models
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SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Models

Lin, Zheng ; Hu, Xuanjie ; Zhang, Yuxin ; Chen, Zhe ; Fang, Zihan ; Chen, Xianhao ; Ang, Li ; Praneeth Vepakomma ; Gao, Yue

arXiv.org, 2024-07

Ithaca: Cornell University Library, arXiv.org

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10
Visual Transformer Meets CutMix for Improved Accuracy, Communication Efficiency, and Data Privacy in Split Learning
Visual Transformer Meets CutMix for Improved Accuracy, Communication Efficiency, and Data Privacy in Split Learning
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Visual Transformer Meets CutMix for Improved Accuracy, Communication Efficiency, and Data Privacy in Split Learning

Baek, Sihun ; Park, Jihong ; Praneeth Vepakomma ; Raskar, Ramesh ; Bennis, Mehdi ; Kim, Seong-Lyun

arXiv.org, 2022-07

Ithaca: Cornell University Library, arXiv.org

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