ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2408.04315
  4. Cited By
Federated Cubic Regularized Newton Learning with Sparsification-amplified Differential Privacy

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
ArXivPDFHTML

Papers citing "Federated Cubic Regularized Newton Learning with Sparsification-amplified Differential Privacy"

2 / 2 papers shown
Title
Threats to Federated Learning: A Survey
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
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
109
259
0
10 Dec 2012
1