SGDの特性

Free-rider Attacks on Model Aggregation in Federated Learning

Authors: Yann Fraboni, Richard Vidal, Marco Lorenzi | Published: 2020-06-21 | Updated: 2021-02-22
DFLに対する攻撃手法
SGDの特性
機械学習アルゴリズム

Federated Variance-Reduced Stochastic Gradient Descent with Robustness to Byzantine Attacks

Authors: Zhaoxian Wu, Qing Ling, Tianyi Chen, Georgios B. Giannakis | Published: 2019-12-29 | Updated: 2021-02-03
SGDの特性
ロバスト性に関する評価
敵対的学習

An Empirical Study on the Intrinsic Privacy of SGD

Authors: Stephanie L. Hyland, Shruti Tople | Published: 2019-12-05 | Updated: 2022-02-28
SGDの特性
プライバシー保護
深層学習手法

Nonconvex Zeroth-Order Stochastic ADMM Methods with Lower Function Query Complexity

Authors: Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang | Published: 2019-07-30 | Updated: 2023-12-11
SGDの特性
多目的最適化
損失関数

SLSGD: Secure and Efficient Distributed On-device Machine Learning

Authors: Cong Xie, Sanmi Koyejo, Indranil Gupta | Published: 2019-03-16 | Updated: 2019-10-01
SGDの特性
ロバスト最適化
連合学習