| 2025 | ACL | FedEx-LoRA: Exact Aggregation for Federated and Efficient Fine-Tuning of Large Language Models. | Raghav Singhal, Kaustubh Ponkshe, Praneeth Vepakomma |
| 2024 | ECCV | DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images. | Zaid Tasneem, Akshat Dave, Abhishek Singh, Kushagra Tiwary, Praneeth Vepakomma, Ashok Veeraraghavan, Ramesh Raskar |
| 2022 | AAAI | PrivateMail: Supervised Manifold Learning of Deep Features with Privacy for Image Retrieval. | Praneeth Vepakomma, Julia Balla, Ramesh Raskar |
| 2022 | AMIA | Blind Inference: An Automated Privacy-Preserving Prediction Service using Secure Multi-Party Computation for Medical Applications. | Gharib Gharibi, Babak Poorebrahim Gilkalaye, Praneeth Vepakomma, Zachi Attia, Riddhiman Das, Suraj Kapa, Ramesh Raskar |
| 2022 | ECCV | Decouple-and-Sample: Protecting Sensitive Information in Task Agnostic Data Release. | Abhishek Singh, Ethan Garza, Ayush Chopra, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar |
| 2022 | ICDCS | An Automated Framework for Distributed Deep Learning-A Tool Demo. | Gharib Gharibi, Ravi Patel, Anissa Khan, Babak Poorebrahim Gilkalaye, Praneeth Vepakomma, Ramesh Raskar, Steve Penrod, Greg Storm, Riddhiman Das |
| 2022 | WWW | LocFedMix-SL: Localize, Federate, and Mix for Improved Scalability, Convergence, and Latency in Split Learning. | Seungeun Oh, Jihong Park, Praneeth Vepakomma, Sihun Baek, Ramesh Raskar, Mehdi Bennis, Seong-Lyun Kim |
| 2021 | CVPR | DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for Deep Neural Networks. | Abhishek Singh, Ayush Chopra, Ethan Garza, Emily Zhang, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar |
| 2021 | GLOBECOM | AirMixML: Over-the-Air Data Mixup for Inherently Privacy-Preserving Edge Machine Learning. | Yusuke Koda, Jihong Park, Mehdi Bennis, Praneeth Vepakomma, Ramesh Raskar |
| 2020 | ICDM | NoPeek: Information leakage reduction to share activations in distributed deep learning. | Praneeth Vepakomma, Abhishek Singh, Otkrist Gupta, Ramesh Raskar |
| 2015 | BSN | A-Wristocracy: Deep learning on wrist-worn sensing for recognition of user complex activities. | Praneeth Vepakomma, Debraj De, Sajal K. Das, Shekhar Bhansali |
| 2015 | ICML | Iterative Embedding with Robust Correction using Feedback of Error Observed. | Praneeth Vepakomma, Ahmed M. Elgammal |