Local Differential Privacy for Federated Learning
Authors: M. A. P. Chamikara, Dongxi Liu, Seyit Camtepe, Surya Nepal, Marthie Grobler, Peter Bertok, Ibrahim Khalil | Published: 2022-02-12 | Updated: 2022-08-03
Convergence Analysis
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
A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits
Authors: Ilija Bogunovic, Zihan Li, Andreas Krause, Jonathan Scarlett | Published: 2022-02-03 | Updated: 2022-03-28
Byzantine-Robust Decentralized Learning via ClippedGossip
Authors: Lie He, Sai Praneeth Karimireddy, Martin Jaggi | Published: 2022-02-03 | Updated: 2023-04-20
Transfer Learning In Differential Privacy’s Hybrid-Model
Authors: Refael Kohen, Or Sheffet | Published: 2022-01-28 | Updated: 2022-06-16
Adversarial attacks in consensus-based multi-agent reinforcement learning
Authors: Martin Figura, Krishna Chaitanya Kosaraju, Vijay Gupta | Published: 2021-03-11
Private Stochastic Convex Optimization: Optimal Rates in $\ell_1$ Geometry
Authors: Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar | Published: 2021-03-02
Manipulating Reinforcement Learning: Poisoning Attacks on Cost Signals
Authors: Yunhan Huang, Quanyan Zhu | Published: 2020-02-07 | Updated: 2020-07-20
Real-Time Edge Intelligence in the Making: A Collaborative Learning Framework via Federated Meta-Learning
Authors: Sen Lin, Guang Yang, Junshan Zhang | Published: 2020-01-09 | Updated: 2020-05-08