Locally Differentially Private Distributed Online Learning with Guaranteed Optimality
Authors: Ziqin Chen, Yongqiang Wang | Published: 2023-06-25 | Updated: 2024-08-23
Algorithm Design
Machine Learning needs Better Randomness Standards: Randomised Smoothing and PRNG-based attacks
Authors: Pranav Dahiya, Ilia Shumailov, Ross Anderson | Published: 2023-06-24 | Updated: 2024-02-10
Decentralized Online Federated G-Network Learning for Lightweight Intrusion Detection
Authors: Mert Nakıp, Baran Can Gül, Erol Gelenbe | Published: 2023-06-22 | Updated: 2023-11-28
Using Topological Data Analysis to classify Encrypted Bits
Authors: Jayati Kaushik, Aaruni Kaushik, Upasana Parashar | Published: 2023-01-18
Reconstructing Training Data from Model Gradient, Provably
Authors: Zihan Wang, Jason D. Lee, Qi Lei | Published: 2022-12-07 | Updated: 2023-06-10
Pareto Regret Analyses in Multi-objective Multi-armed Bandit
Authors: Mengfan Xu, Diego Klabjan | Published: 2022-12-01 | Updated: 2023-05-30
Targets in Reinforcement Learning to solve Stackelberg Security Games
Authors: Saptarashmi Bandyopadhyay, Chenqi Zhu, Philip Daniel, Joshua Morrison, Ethan Shay, John Dickerson | Published: 2022-11-30
Multi-Player Bandits Robust to Adversarial Collisions
Authors: Shivakumar Mahesh, Anshuka Rangi, Haifeng Xu, Long Tran-Thanh | Published: 2022-11-15
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability
Authors: Zhao Song, Yitan Wang, Zheng Yu, Lichen Zhang | Published: 2022-10-15 | Updated: 2023-06-06
Distributed Non-Convex Optimization with One-Bit Compressors on Heterogeneous Data: Efficient and Resilient Algorithms
Authors: Ming Xiang, Lili Su | Published: 2022-10-03 | Updated: 2023-02-17