Praneeth Vepakomma
Publications by Year
Research Areas
Privacy-Preserving Technologies in Data, Cryptography and Data Security, Stochastic Gradient Optimization Techniques, Adversarial Robustness in Machine Learning, COVID-19 Digital Contact Tracing
Most-Cited Works
- → Advances and Open Problems in Federated Learning(2020)4,363 cited
- → FedML: A Research Library and Benchmark for Federated Machine Learning(2020)357 cited
- → Split learning for health: Distributed deep learning without sharing raw\n patient data(2018)346 cited
- → A-Wristocracy: Deep learning on wrist-worn sensing for recognition of user complex activities(2015)137 cited
- → Detailed comparison of communication efficiency of split learning and\n federated learning(2019)107 cited
- → Privacy in Deep Learning: A Survey(2020)98 cited
- → A survey of nature-inspired algorithms for feature selection to identify Parkinson's disease(2016)93 cited
- → Split Learning for collaborative deep learning in healthcare(2019)82 cited
- → Apps Gone Rogue: Maintaining Personal Privacy in an Epidemic(2020)75 cited