基于信誉评估机制和区块链的移动网络联邦学习方案
杨明， 胡学先， 张启慧， 魏江宏， 刘文芬 - 网络与信息安全学报 - infocomm-journal.com
联邦学习是一种新兴的分布式机器学习技术, 通过将训练任务下放到用户端,
仅将训练得到的模型参数发送给服务端, 整个过程并不需要参与方直接共享数据 …
仅将训练得到的模型参数发送给服务端, 整个过程并不需要参与方直接共享数据 …
[图书][B] Federated Learning Over Wireless Edge Networks
This book first presents a tutorial on Federated Learning (FL) and its role in enabling Edge
Intelligence over wireless edge networks. This provides readers with a concise introduction …
Intelligence over wireless edge networks. This provides readers with a concise introduction …
Software Architecture Design for Federated Learning Systems
SK Lo - 2023 - unsworks.unsw.edu.au
The advancements in deep learning and machine learning as the subdomain of AI have
been demonstrated in multiple industries. However, the requirement for data by deep …
been demonstrated in multiple industries. However, the requirement for data by deep …
Federated Learning at Mobile Edge Networks: A Tutorial
In recent years, mobile devices are equipped with increasingly advanced sensing and
computing capabilities. Coupled with advancements in Deep Learning, this opens up …
computing capabilities. Coupled with advancements in Deep Learning, this opens up …
Development of a Model Mobile Training Management to Improve Quality Outcome of Education and Training for Coastal Communities in East Java
This research aims to analyze the practicality of developing a mobile training management
model to improve the quality of education and training outcomes for coastal communities in …
model to improve the quality of education and training outcomes for coastal communities in …
A New Frequency Hopping Strategy Based on Federated Reinforcement Learning for FANET
Y Ye, M Lei, M Zhao - 2021 IEEE 94th Vehicular Technology …, 2021 - ieeexplore.ieee.org
The flying ad-hoc network (FANET) is widely applied to unmanned aerial vehicles (UAV s)
but it is vulnerable to the frequency jamming in reality. Therefore, this paper proposes a …
but it is vulnerable to the frequency jamming in reality. Therefore, this paper proposes a …
Toward Secure Federated Learning for Internet of Things Using Deep Reinforcement Learning (DRL)-Enabled Reputation Mechanism
NM Al-Maslamani - 2023 - search.proquest.com
Federated Learning (FL) has emerged to leverage datasets from multiple devices to improve
the performance of a Machine Learning (ML) model while providing privacy preservation for …
the performance of a Machine Learning (ML) model while providing privacy preservation for …
Towards Trustworthy Artificial Intelligence in Privacy-Preserving Collaborative Machine Learning
M Roszel - 2024 - orbilu.uni.lu
Artificial Intelligence (AI) systems are proliferating in our society due to their capacity to
simulate human intelligence, behaviors, and processes. The increased utilization of AI …
simulate human intelligence, behaviors, and processes. The increased utilization of AI …
Conclusion and Future Works
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Account Menu Find a journal Publish with us Track your research Search Cart Book cover …
Account Menu Find a journal Publish with us Track your research Search Cart Book cover …
[图书][B] Machine Learning Model Splitting on Mobile Edge Networks
S Wang - 2023 - search.proquest.com
The rapid growth of Machine Learning (ML) model sizes poses challenges for mobile
applications, especially when compared to the slower pace of mobile hardware …
applications, especially when compared to the slower pace of mobile hardware …