supported by National Key Research and Development Program of China(Grant No.2022ZD0115301);Fundamental Research Funds for the Central Universities(Grant No.2042023kf0120);National Natural Science Foundation of China(Grant Nos.62272417,62202185,62302343);Guangdong Basic and Applied Basic Research Foundation(Grant No.2022A1515110396)。
Multiarmed bandit(MAB)models are widely used for sequential decision-making in uncertain environments,such as resource allocation in computer communication systems.A critical challenge in interactive multiagent system...
supported by the National Natural Science Foundation of China (62033010, U23B2061);Qing Lan Project of Jiangsu Province(R2023Q07)。
This paper considers the distributed online optimization(DOO) problem over time-varying unbalanced networks, where gradient information is explicitly unknown. To address this issue, a privacy-preserving distributed on...
supported by the National Natural Science Foundation of China under Grant No.62172386;the Natural Science Foundation of Jiangsu Province of China under Grant No.BK20231212;the Teaching Research Project of the Education Department of Anhui Province of China under Grant No.2021jyxm1738.
Federated learning(FL)is an emerging privacy-preserving distributed computing paradigm,enabling numerous clients to collaboratively train machine learning models without the necessity of transmitting clients’private ...
supported by the National Natural Science Foundation of China(Grant Nos.62173087,62176056,and 61833005);the Fundamental Research Funds for the Central Universities;in part by the Alexander von Humboldt Foundation of Germany;supported by Zhi Shan Youth Scholar Program from Southeast University;by Young Elite Scientists Sponsorship Program by CAST(Grant No.2021QNRC001)。
This paper is concerned with a Nash equilibrium(NE)tracking issue in online games with bandit feedback,where cost functions vary with time and agents only have access to the values of these functions at two points dur...
This work was supported in part by the Zhejiang Lab under Grant 20210AB02;in part by the Sichuan International Science and Technology Innovation Cooperation/Hong Kong,Macao and Taiwan Science and Technology Innovation Cooperation Project under Grant 2019YFH0163;in part by the Key Research and Development Project of Sichuan Provincial Department of Science and Technology under Grant 2018JZ0071.
In order to solve the high latency of traditional cloud computing and the processing capacity limitation of Internet of Things(IoT)users,Multi-access Edge Computing(MEC)migrates computing and storage capabilities from...
supported by the Natural Science Foundation Project of Shanghai(20ZR1423200);the Innovation Program of Shanghai Municipal Education Commission(2021-01-07-00-10-E00121)。
With the development of maritime informatization and the increased generation of marine data,the demands of efficient and reliable maritime communication surge.However,harsh and dynamic marine communication environmen...