Federated Boosted Decision Trees with Differential Privacy
Authors: Samuel Maddock, Graham Cormode, Tianhao Wang, Carsten Maple, Somesh Jha | Published: 2022-10-06
重み更新手法
Federated Adversarial Learning: A Framework with Convergence Analysis
Authors: Xiaoxiao Li, Zhao Song, Jiaming Yang | Published: 2022-08-07
Rethinking the Defense Against Free-rider Attack From the Perspective of Model Weight Evolving Frequency
Authors: Jinyin Chen, Mingjun Li, Tao Liu, Haibin Zheng, Yao Cheng, Changting Lin | Published: 2022-06-11
Private Adaptive Optimization with Side Information
Authors: Tian Li, Manzil Zaheer, Sashank J. Reddi, Virginia Smith | Published: 2022-02-12 | Updated: 2022-06-25
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-start
Authors: Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo | Published: 2022-02-07 | Updated: 2023-11-16
Learning from History for Byzantine Robust Optimization
Authors: Sai Praneeth Karimireddy, Lie He, Martin Jaggi | Published: 2020-12-18 | Updated: 2021-06-29
Ditto: Fair and Robust Federated Learning Through Personalization
Authors: Tian Li, Shengyuan Hu, Ahmad Beirami, Virginia Smith | Published: 2020-12-08 | Updated: 2021-06-15
Deep Learning Methods for Credit Card Fraud Detection
Authors: Thanh Thi Nguyen, Hammad Tahir, Mohamed Abdelrazek, Ali Babar | Published: 2020-12-07
Getting Passive Aggressive About False Positives: Patching Deployed Malware Detectors
Authors: Edward Raff, Bobby Filar, James Holt | Published: 2020-10-22
Towards Understanding the Dynamics of the First-Order Adversaries
Authors: Zhun Deng, Hangfeng He, Jiaoyang Huang, Weijie J. Su | Published: 2020-10-20