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2408.04315
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Federated Cubic Regularized Newton Learning with Sparsification-amplified Differential Privacy
8 August 2024
Wei Huo
Changxin Liu
Kemi Ding
Karl H. Johansson
Ling Shi
FedML
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Papers citing
"Federated Cubic Regularized Newton Learning with Sparsification-amplified Differential Privacy"
2 / 2 papers shown
Title
Threats to Federated Learning: A Survey
Lingjuan Lyu
Han Yu
Qiang Yang
FedML
186
427
0
04 Mar 2020
A simpler approach to obtaining an O(1/t) convergence rate for the projected stochastic subgradient method
Simon Lacoste-Julien
Mark W. Schmidt
Francis R. Bach
111
259
0
10 Dec 2012
1