Curated articles on theoretical and experimental advances in intelligent and autonomous robotic systems.
Editor James Usevitch
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning (2020)
Sijia Liu, Pin-Yu Chen, Bhavya Kailkhura, Gaoyuan Zhang, Alfred Hero, Pramod K. Varshney
http://arxiv.org/abs/2006.06224v2
Nov 04, 2023 - A review of zeroth-order optimization methods, which enable approximating gradients for black-box models or models where explicit gradient expressions are infeasible to obtain.
Byzantine Machine Learning: A Primer (2023)
Rachid Guerraoui, Nirupam Gupta, Rafael Pinot
http://dx.doi.org/10.1145/3616537
Nov 04, 2023 - Provides an overview of distributed machine learning methods that are resilient to faulty or adversarial misinformation present during the training process.