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Byzantine-Resilient Federated Learning at Edge
期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2023, 卷号: 72, 期号: 9, 页码: 2600-2614
作者:
Tao, Youming
;
Cui, Sijia
;
Xu, Wenlu
;
Yin, Haofei
;
Yu, Dongxiao
收藏
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浏览/下载：4/0
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提交时间：2023/11/17
Byzantine resilience
communication efficiency
edge intelligent systems
federated learning
Gradient-free algorithms for distributed online convex optimization
期刊论文
ASIAN JOURNAL OF CONTROL, 2022, 页码: 18
作者:
Liu, Yuhang
;
Zhao, Wenxiao
;
Dong, Daoyi
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浏览/下载：9/0
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提交时间：2023/02/07
distributed algorithm
gradient-free algorithm
multiagent system
online convex optimization
Distributed stochastic gradient tracking methods with momentum acceleration for non-convex optimization
期刊论文
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 2022, 页码: 42
作者:
Gao, Juan
;
Liu, Xin-Wei
;
Dai, Yu-Hong
;
Huang, Yakui
;
Gu, Junhua
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浏览/下载：11/0
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提交时间：2023/02/07
Distributed non-convex optimization
Machine learning
Momentum methods
Optimization algorithms
Convergence rate
Cost optimization of UAV-MEC network calculation offloading: A multi-agent reinforcement learning method
期刊论文
Ad Hoc Networks, 2022, 卷号: 136
作者:
Xue, Jianbin
;
Wu, Qingqing
;
Zhang, Haijun
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浏览/下载：17/0
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提交时间：2022/09/22
Antennas
computation offloading
Convex optimization
Cost effectiveness
Deep learning
Energy utilization
Learning algorithms
Learning systems
Markov processes
Mobile edge computing
Multi agent systems
Power control
Reinforcement learning
Unmanned aerial vehicles (UAV)
Aerial vehicle
Computation offloading
Costs Optimization
Deep reinforcement learning
Edge computing
Multi-access edge computing
Multiaccess
Reinforcement learnings
Unmanned aerial vehicle
User equipments
Understanding the acceleration phenomenon via high-resolution differential equations
期刊论文
MATHEMATICAL PROGRAMMING, 2022, 卷号: 195, 期号: 1-2, 页码: 79-148
作者:
Shi, Bin
;
Du, Simon S.
;
Jordan, Michael, I
;
Su, Weijie J.
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浏览/下载：9/0
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提交时间：2023/02/07
Convex optimization
First-order method
Polyak's heavy ball method
Nesterov's accelerated gradient methods
Ordinary differential equation
Lyapunov function
Gradient minimization
A Fully Distributed Hybrid Control Framework For Non-Differentiable Multi-Agent Optimization
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 10, 页码: 1792-1800
作者:
Xia Jiang
;
Xianlin Zeng
;
Jian Sun
;
Jie Chen
;
Yue Wei
收藏
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浏览/下载：22/0
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提交时间：2022/09/08
Distributed algorithm
hybrid framework
multi-agent network
non-differentiable optimization
Continuous-time Distributed Heavy-ball Algorithm for Distributed Convex Optimization over Undirected and Directed Graphs
期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 1, 页码: 75-88
作者:
Hao-Ran Yang
;
Wei Ni
收藏
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浏览/下载：52/0
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提交时间：2022/01/25
Distributed convex optimization
second-order distributed algorithm
multi-agent systems
gradient tracking
directed graph
A NEW PRIMAL-DUAL ALGORITHM FOR STRUCTURED CONVEX OPTIMIZATION INVOLVING A LIPSCHITZIAN TERM
期刊论文
PACIFIC JOURNAL OF OPTIMIZATION, 2022, 卷号: 18, 期号: 2, 页码: 497-517
作者:
Zhou, Danqing
;
Chang, Xiaokai
;
Yang, Junfeng
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浏览/下载：9/0
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提交时间：2022/07/19
structured convex optimization
primal-dual
full-splitting
saddle point
sublinear convergence rate
golden ratio
Learning with smooth Hinge losses
期刊论文
NEUROCOMPUTING, 2021, 卷号: 463, 页码: 379-387
作者:
Luo, JunRu
;
Qiao, Hong
;
Zhang, Bo
收藏
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浏览/下载：11/0
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提交时间：2022/04/02
Smooth Hinge loss
Convex surrogate loss
Support vector machine
Trust region Newton method
Learning with smooth Hinge losses
期刊论文
NEUROCOMPUTING, 2021, 卷号: 463, 页码: 379-387
作者:
Luo, JunRu
;
Qiao, Hong
;
Zhang, Bo
收藏
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浏览/下载：22/0
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提交时间：2021/12/28
Smooth Hinge loss
Convex surrogate loss
Support vector machine
Trust region Newton method
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