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Feature-Contrastive Graph Federated Learning: Responsible AI in Graph Information Analysis
期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 11
作者:
Zeng, Xingjie
;
Zhou, Tao
;
Bao, Zhicheng
;
Zhao, Hongwei
;
Chen, Leiming
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2023/02/22
Federated learning
Data models
Artificial intelligence
Graph neural networks
Training
Learning systems
Servers
graph neural networks
responsible artificial intelligence (AI)
weight divergence
weight similarity evaluation
Bandwidth-efficient multi-task AI inference with dynamic task importance for the Internet of Things in edge computing
期刊论文
COMPUTER NETWORKS, 2022, 卷号: 216, 页码: 13
作者:
Zhang, Jianfeng
;
Zhang, Wensheng
;
Xu, Jingdong
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2023/01/09
Internet of Things
Edge computing
Edge intelligence
Multi-task learning
Blockchain Data Privacy Protection and Sharing Scheme Based on Zero-Knowledge Proof
期刊论文
Wireless Communications and Mobile Computing, 2022, 卷号: 2022
作者:
Feng, Tao
;
Yang, Pu
;
Liu, Chunyan
;
Fang, Junli
;
Ma, Rong
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2022/04/21
Cloud security
Data privacy
Industrial research
Network security
Block-chain
Cloud service providers
Data availability
Data privacy protections
Data Sharing
Privacy protection
Protection schemes
Semitrusted
Sharing schemes
Zero-knowledge proofs
Blockchain-Enhanced Data Sharing With Traceable and Direct Revocation in IIoT
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 卷号: 17, 期号: 11, 页码: 7669-7678
作者:
Yu, Keping
;
Tan, Liang
;
Aloqaily, Moayad
;
Yang, Hekun
;
Jararweh, Yaser
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2021/12/01
Industrial Internet of Things
Smart manufacturing
Blockchain
Security
Access control
Encryption
Cloud computing
Big data
blockchain
data sharing
industrial Internet-of-Thing (IIoT)
smart factory
traceable and revocation
Estimating the Resource Demand in Power-Aware Clusters by Regressing a Linearly Dependent Relation
期刊论文
IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING, 2021, 卷号: 6, 期号: 3, 页码: 385-397
作者:
Hu, Cheng
;
Deng, Yuhui
;
Yang, Laurence T.
;
Zhao, Yufan
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2021/12/01
Estimation
Servers
Linear regression
Quality of service
Computational modeling
Analytical models
Task analysis
Resource demand estimation
linear regression
power-aware cluster
QoS
SLA
Criso: An Incremental Scalable and Cost-Effective Network Architecture for Data Centers
期刊论文
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2021, 卷号: 18, 期号: 2, 页码: 2016-2029
作者:
Feng, Hao
;
Deng, Yuhui
;
Qin, Xiao
;
Min, Geyong
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2021/12/01
Servers
Data centers
Topology
Fault tolerance
Fault tolerant systems
Routing
Computer architecture
Data center
incremental scalability
cost efficiency
interconnection network
Joint Task Offloading and Resource Allocation for Multi-Task Multi-Server NOMA-MEC Networks
期刊论文
IEEE Access, 2021, 卷号: 9, 页码: 16152-16163
作者:
Xue, Jianbin
;
An, Yaning
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2021/03/02
Convex optimization
Energy utilization
Integer programming
Internet of things
Lagrange multipliers
Nonlinear programming
Resource allocation
Communication resource allocation
Convex optimization problems
Internet of Things (IOT)
Lagrangian multiplier methods
Mixed integer non-linear programming problems
Resource allocation problem
Spectrum utilization efficiency
Transmission power allocation
Quantile regression in big data: A divide and conquer based strategy
期刊论文
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2020, 卷号: 144, 页码: 17
作者:
Chen, Lanjue
;
Zhou, Yong
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2020/05/24
Data stream
Divide and conquer
Estimating equation
Massive data sets
Quantile regression
Fine-Grained Resource Provisioning and Task Scheduling for Heterogeneous Applications in Distributed Green Clouds
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 5, 页码: 1380-1393
作者:
Haitao Yuan
;
MengChu Zhou
;
Qing Liu
;
Abdullah Abusorrah
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2021/03/11
Bees algorithm
data centers
distributed green cloud (DGC)
energy optimization
intelligent optimization
simulated annealing
task scheduling
machine learning
Combining an in silico approach with an animal experiment to investigate the protective effect of troxerutin for treating acute lung injury
期刊论文
BMC COMPLEMENTARY AND ALTERNATIVE MEDICINE, 2019, 卷号: 19, 页码: 11
作者:
Li, Ying
;
Ma, Pan
;
Fu, Jin
;
Wu, Jingjing
;
Wu, Xue
收藏
  |  
浏览/下载:59/0
  |  
提交时间:2019/12/02
Troxerutin
In silico prediction
Acute lung injury
Protective effect
Inflammatory response
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