Computational Efficiency

Fedlearn-Algo: A flexible open-source privacy-preserving machine learning platform

Authors: Bo Liu, Chaowei Tan, Jiazhou Wang, Tao Zeng, Huasong Shan, Houpu Yao, Heng Huang, Peng Dai, Liefeng Bo, Yanqing Chen | Published: 2021-07-08 | Updated: 2021-07-30
Privacy Protection Mechanism
Computational Efficiency
Federated Learning

Certifiably Robust Interpretation via Renyi Differential Privacy

Authors: Ao Liu, Xiaoyu Chen, Sijia Liu, Lirong Xia, Chuang Gan | Published: 2021-07-04
Privacy Analysis
Robustness
Computational Efficiency

Bayesian Attention Belief Networks

Authors: Shujian Zhang, Xinjie Fan, Bo Chen, Mingyuan Zhou | Published: 2021-06-09
Natural Language Processing
Computational Efficiency
Evaluation Method

Robustifying $\ell_\infty$ Adversarial Training to the Union of Perturbation Models

Authors: Ameya D. Patil, Michael Tuttle, Alexander G. Schwing, Naresh R. Shanbhag | Published: 2021-05-31 | Updated: 2021-06-11
Adversarial Training
Vulnerability Assessment Method
Computational Efficiency

Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Federated Learning

Authors: Xiaolin Chen, Shuai Zhou, Bei guan, Kai Yang, Hao Fan, Hu Wang, Yongji Wang | Published: 2021-05-20 | Updated: 2021-12-08
Privacy Protection Method
Computational Efficiency
Federated Learning

An Efficient Learning Framework For Federated XGBoost Using Secret Sharing And Distributed Optimization

Authors: Lunchen Xie, Jiaqi Liu, Songtao Lu, Tsung-hui Chang, Qingjiang Shi | Published: 2021-05-12
Distributed Learning
Computational Efficiency
Federated Learning

SIRNN: A Math Library for Secure RNN Inference

Authors: Deevashwer Rathee, Mayank Rathee, Rahul Kranti Kiran Goli, Divya Gupta, Rahul Sharma, Nishanth Chandran, Aseem Rastogi | Published: 2021-05-10
Library Classification
Deep Learning Method
Computational Efficiency

Quantifying identifiability to choose and audit $ε$ in differentially private deep learning

Authors: Daniel Bernau, Günther Eibl, Philip W. Grassal, Hannah Keller, Florian Kerschbaum | Published: 2021-03-04 | Updated: 2021-07-20
DP-SGD
Statistical Methods
Computational Efficiency

Evaluation and Optimization of Distributed Machine Learning Techniques for Internet of Things

Authors: Yansong Gao, Minki Kim, Chandra Thapa, Sharif Abuadbba, Zhi Zhang, Seyit A. Camtepe, Hyoungshick Kim, Surya Nepal | Published: 2021-03-03
Performance Evaluation
Distributed Learning
Computational Efficiency

Private Stochastic Convex Optimization: Optimal Rates in $\ell_1$ Geometry

Authors: Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar | Published: 2021-03-02
Privacy-Preserving Algorithm
Convergence Analysis
Computational Efficiency