AirMixML: Over-the-Air Data Mixup for Inherently Privacy-Preserving Edge Machine Learning
IEEE Global Communications Conference (GLOBECOM), 2021
ExpertMatcher: Automating ML Model Selection for Users in Resource Constrained Countries
Vivek Sharma, Praneeth Vepakomma, Tristan Swedish, Ken Chang, Jayashree Kalpathy-Cramer, Ramesh Raskar. In NeurIPS Workshop on Machine learning for the Developing World (ML4D), 2019
Detailed comparison of communication efficiency of split learning and federated learning,
Praneeth Vepakomma, et al. "Detailed comparison of communication efficiency of split learning and federated learning." arXiv:1909.09145v1 [cs.LG] 18 Sep 2019.
Diverse data selection via combinatorial quasi-concavity of distance covariance: A polynomial time global minimax algorithm
Diverse data selection via combinatorial quasi-concavity of distance covariance: A polynomial time global minimax algorithm, Praneeth Vepakomma, Yulia Kempner
Reducing leakage in distributed deep learning for sensitive health data
Praneeth Vepakomma, Otkrist Gupta, Abhimanyu Dubey, Ramesh Raskar. Reducing Leakage in Distributed Deep Learning for Sensitive Health Data, ICLR 2019 AI for Social Good Workshop (2019).
Split learning for health: Distributed deep learning without sharing raw patient data
Praneeth Vepakomma, Otkrist Gupta, Tristan Swedish, Ramesh Raskar. Split learning for health: Distributed deep learning without sharing raw patient data, arXiv.org, ICLR 2019 AI for Social Good Workshop (2018).