Praneeth Vepakomma

Advances and Open Problems in Federated Learning

Peter Kairouz, H. Brendan McMahan, Brendan Avent et al. · Foundations and Trends® in Machine Learning · 2020 · 4.7K citations · Full text

Computing, Computer Science, Data Science +14

FedML: A Research Library and Benchmark for Federated Machine Learning

Chaoyang He, Songze Li, Jinhyun So et al. · arXiv (Cornell University) · 2020 · 358 citations · Full text

Computing, Computer Science, Algorithms +12

Split learning for health: Distributed deep learning without sharing raw\n patient data

Praneeth Vepakomma, Otkrist Gupta, Tristan Swedish et al. · arXiv (Cornell University) · 2018 · 347 citations · Full text

Computing, Computer Science, Health Informatics +17

Split learning for health: Distributed deep learning without sharing raw patient data

Praneeth Vepakomma, Otkrist Gupta, Tristan Swedish et al. · arXiv (Cornell University) · 2018 · 179 citations · Full text

Computing, Computer Science, Health Informatics +17

A-Wristocracy: Deep learning on wrist-worn sensing for recognition of user complex activities

Praneeth Vepakomma, Debraj De, Sajal K. Das et al. · 2015 · 137 citations

Computing, Computer Science, Assistive Technology +16