Federated Learning with Matched Averaging
Authors: Hongyi Wang, Mikhail Yurochkin, Yuekai Sun, Dimitris Papailiopoulos, Yasaman Khazaeni | Published: 2020-02-15
Optimization Strategy
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
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
Authors: Sai Praneeth Karimireddy, Satyen Kale, Mehryar Mohri, Sashank J. Reddi, Sebastian U. Stich, Ananda Theertha Suresh | Published: 2019-10-14 | Updated: 2021-04-09
The Price of Interpretability
Authors: Dimitris Bertsimas, Arthur Delarue, Patrick Jaillet, Sebastien Martin | Published: 2019-07-08
Treant: Training Evasion-Aware Decision Trees
Authors: Stefano Calzavara, Claudio Lucchese, Gabriele Tolomei, Seyum Assefa Abebe, Salvatore Orlando | Published: 2019-07-02 | Updated: 2019-07-03
Accurate, reliable and fast robustness evaluation
Authors: Wieland Brendel, Jonas Rauber, Matthias Kümmerer, Ivan Ustyuzhaninov, Matthias Bethge | Published: 2019-07-01 | Updated: 2019-12-12
DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM
Authors: Bao Wang, Quanquan Gu, March Boedihardjo, Farzin Barekat, Stanley J. Osher | Published: 2019-06-28 | Updated: 2019-12-07
The Cost of a Reductions Approach to Private Fair Optimization
Authors: Daniel Alabi | Published: 2019-06-23 | Updated: 2021-05-23
L0 Regularization Based Neural Network Design and Compression
Authors: S. Asim Ahmed | Published: 2019-05-31
There are No Bit Parts for Sign Bits in Black-Box Attacks
Authors: Abdullah Al-Dujaili, Una-May O'Reilly | Published: 2019-02-19 | Updated: 2019-04-03