Convergence Guarantee

Parameter identifiability of a deep feedforward ReLU neural network

Authors: Joachim Bona-Pellissier, François Bachoc, François Malgouyres | Published: 2021-12-24 | Updated: 2023-05-12
Parameter Identification
Convergence Guarantee
Continuous Linear Function

DeepMoM: Robust Deep Learning With Median-of-Means

Authors: Shih-Ting Huang, Johannes Lederer | Published: 2021-05-28 | Updated: 2021-11-08
Data Contamination Detection
Convergence Guarantee
Optimization Methods

Privacy-Preserving Gradient Boosting Decision Trees

Authors: Qinbin Li, Zhaomin Wu, Zeyi Wen, Bingsheng He | Published: 2019-11-11 | Updated: 2022-10-10
Privacy-Preserving Algorithm
Privacy Assessment
Convergence Guarantee

An Adaptive Empirical Bayesian Method for Sparse Deep Learning

Authors: Wei Deng, Xiao Zhang, Faming Liang, Guang Lin | Published: 2019-10-23 | Updated: 2020-04-13
Convergence Guarantee
Optimization Strategy
Deep Learning Technology

Byzantine-Resilient Stochastic Gradient Descent for Distributed Learning: A Lipschitz-Inspired Coordinate-wise Median Approach

Authors: Haibo Yang, Xin Zhang, Minghong Fang, Jia Liu | Published: 2019-09-10
Byzantine Attack Countermeasures
Convergence Guarantee
Computational Efficiency

F-BLEAU: Fast Black-box Leakage Estimation

Authors: Giovanni Cherubin, Konstantinos Chatzikokolakis, Catuscia Palamidessi | Published: 2019-02-04 | Updated: 2020-10-27
Generalization Performance
Convergence Guarantee
Information Leakage Analysis