Title: Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses
Gao, Changyu, Lowy, Andrew, Zhou, Xingyu, and Wright, Stephen. Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses. Retrieved from https://par.nsf.gov/biblio/10523180.
Gao, Changyu, Lowy, Andrew, Zhou, Xingyu, & Wright, Stephen. Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses. Retrieved from https://par.nsf.gov/biblio/10523180.
Gao, Changyu, Lowy, Andrew, Zhou, Xingyu, and Wright, Stephen.
"Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses". Country unknown/Code not available: ICML 2024. https://par.nsf.gov/biblio/10523180.
@article{osti_10523180,
place = {Country unknown/Code not available},
title = {Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses},
url = {https://par.nsf.gov/biblio/10523180},
abstractNote = {},
journal = {},
publisher = {ICML 2024},
author = {Gao, Changyu and Lowy, Andrew and Zhou, Xingyu and Wright, Stephen},
}
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