AoU-Based Local Update and User Scheduling for Semi-Asynchronous Online Federated Learning in Wireless Networks
J Zheng, X Liu, Z Ling, F Hu - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
With the advent of the 5G and 6G eras and the explosive growth of mobile users, machine
learning (ML) is increasingly used for extracting important information from a large amount of …
learning (ML) is increasingly used for extracting important information from a large amount of …
Distributed Adaptive Gradient Algorithm with Gradient Tracking for Stochastic Non-Convex Optimization
This paper considers a distributed stochastic non-convex optimization problem, where the
nodes in a network cooperatively minimize a sum of-smooth local cost functions with sparse …
nodes in a network cooperatively minimize a sum of-smooth local cost functions with sparse …
An accelerated distributed online gradient push‐sum algorithm on time‐varying directed networks
R Fang, D Li, X Shen, Y Zhou - Asian Journal of Control, 2022 - Wiley Online Library
This paper investigates a distributed online optimization problem with convex objective
functions on time‐varying directed networks, where each agent holds its own convex cost …
functions on time‐varying directed networks, where each agent holds its own convex cost …
Linear convergence of event‐triggered distributed optimization with metric subregularity condition
This paper designs a continuous‐time algorithm with event‐triggered communication (ETC)
for solving a class of distributed convex optimization problems with a metric subregularity …
for solving a class of distributed convex optimization problems with a metric subregularity …
Distributed online adaptive subgradient optimization with dynamic bound of learning rate over time‐varying networks
R Fang, D Li, X Shen - IET Control Theory & Applications, 2022 - Wiley Online Library
Adaptive online optimization algorithms, such as Adam, RMSprop, and AdaBound, have
recently been tremendously popular as they have been widely applied to address the issues …
recently been tremendously popular as they have been widely applied to address the issues …
An Accelerated Distributed Online Gradient Push-Sum Algorithm in Time-varying Networks
R Fang, D Li, X Shen - 2021 40th Chinese Control Conference …, 2021 - ieeexplore.ieee.org
This paper investigates an online convex optimization problem on time-varying directed
networks, where each agent holds its own convex cost function and the goal is to …
networks, where each agent holds its own convex cost function and the goal is to …
事象駆動型適応勾配降下法を用いた分散オンライン最適化
岡本康暉， 林直樹， 高井重昌 - 自動制御連合講演会講演論文集第64 回 …, 2021 - jstage.jst.go.jp
事象駆動型適応勾配降下法を用いた分散オンライン最適化 Page 1 事象駆動型適応勾配降下法を用
いた分散オンライン最適化 ○岡本康暉 林直樹 高井重昌(大阪大学) Distributed Online Optimization …
いた分散オンライン最適化 ○岡本康暉 林直樹 高井重昌(大阪大学) Distributed Online Optimization …