Concepedia
Statistics
Publications
5
Citations
176
H-Index
Active since
2020
Affiliations
Harvard University Press(Current)
Harvard University
Kavya Kopparapu is an author at Harvard University Press specializing in computing, federated learning, and computer science.
Publications per year
2020–2023
Deep Learning–Enabled Assessment of Left Heart Structure and Function Predicts Cardiovascular Outcomes
Emily S. Lau, Paolo Di Achille, Kavya Kopparapu et al. · Journal of the American College of Cardiology · 2023 · 64 citations · Full text
Medicine, Biomedical Engineering, Cardiology +15
TinyFedTL: Federated Transfer Learning on Ubiquitous Tiny IoT Devices
Kavya Kopparapu, Eric W. Lin, John G. Breslin et al. · 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) · 2022 · 51 citations
Computing, Computer Science, Computer Systems +14
FedCD: Improving Performance in non-IID Federated Learning
Kavya Kopparapu, Eric W. Lin, Jessica Zhao · arXiv (Cornell University) · 2020 · 28 citations · Full text
Computing, Computer Science, Computer Systems +16
FedFMC: Sequential Efficient Federated Learning on Non-iid Data
Kavya Kopparapu, Eric W. Lin · arXiv (Cornell University) · 2020 · 20 citations · Full text
Computing, Computer Science, Distributed Systems +10
TinyFedTL: Federated Transfer Learning on Tiny Devices
Kavya Kopparapu, Eric W. Lin · arXiv (Cornell University) · 2021 · 13 citations · Full text
Computing, Computer Science, Computer Systems +11
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