Byzantine-Robust Distributed Online Learning: Taming Adversarial Participants in An Adversarial Environment

Autor: Dong, Xingrong, Wu, Zhaoxian, Ling, Qing, Tian, Zhi

This paper studies distributed online learning under Byzantine attacks. The performance of an online learning algorithm is often characterized by (adversarial) regret, which evaluates the quality of one-step-ahead decision-making when an environment

Externí odkaz: http://arxiv.org/abs/2307.07980

Relationship between Phosphorus and Nitrogen Concentrations of Flax.

Autor: Xie, Yaping^1,2 (AUTHOR), Li, Lingling^2,3 (AUTHOR), Wang, Limin¹ (AUTHOR), Zhang, Jianping¹ (AUTHOR) zhangjpzw3@gsagr.ac.cn, Dang, Zhao¹ (AUTHOR), Li, Wenjuan¹ (AUTHOR), Qi, Yanni¹ (AUTHOR), Zhao, Wei¹ (AUTHOR), Dong, Kongjun¹ (AUTHOR), Wang, Xingrong¹ (AUTHOR), Zhang, Yanjun¹ (AUTHOR), Zeng, Xiucun⁴ (AUTHOR), Zhou, Yangchen² (AUTHOR), Wang, Xingzhen¹ (AUTHOR), Shi, Linrong⁵ (AUTHOR), Wu, Gang⁶ (AUTHOR)

Publikováno v: Agronomy. Mar2023, Vol. 13 Issue 3, p856. 13p.