Suchergebnisse - "Gradient tracking algorithm"

Compressed Gradient Tracking Algorithm for Distributed Aggregative Optimization von Chen, Liyuan, Wen, Guanghui, Liu, Hongzhe, Yu, Wenwu, Cao, Jinde

“… This article is devoted to addressing the distributed aggregative optimization (DAO) problem via compressed gradient tracking algorithms, where the cost …”
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Quantized Zeroth-Order Gradient Tracking Algorithm for Distributed Nonconvex Optimization Under Polyak-Łojasiewicz Condition von Xu, Lei, Yi, Xinlei, Deng, Chao, Shi, Yang, Chai, Tianyou, Yang, Tao

“… gradient tracking algorithm. We establish linear convergence to a global optimal point for the proposed algorithm by assuming Polyak …”
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Quantized Distributed Gradient Tracking Algorithm With Linear Convergence in Directed Networks von Xiong, Yongyang, Wu, Ligang, You, Keyou, Xie, Lihua

“… To achieve linear convergence, this article proposes a novel quantized distributed gradient tracking algorithm (Q-DGT …”
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Distributed Stochastic Gradient Tracking Algorithm With Variance Reduction for Non-Convex Optimization von Jiang, Xia, Zeng, Xianlin, Sun, Jian, Chen, Jie

“… Combining gradient tracking and variance reduction techniques, this article proposes a distributed stochastic algorithm, gradient tracking algorithm with variance reduction (GT-VR …”
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Distributed Economic Dispatch With Dynamic Power Demand: An Implicit Dual Gradient Tracking Algorithm Under Random-Triggered Transmission Protocol von Ma, Dazhong, Xing, Mingqi, Li, Yuanzheng, Sun, Qiuye

“… To address this challenge, an implicit dual gradient tracking algorithm (IDGT) is developed based on the distributed gradient tracking algorithm …”
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A Stochastic Gradient Tracking Algorithm for Decentralized Optimization With Inexact Communication von Shah, Suhail M., Bollapragada, Raghu

“… Decentralized optimization is typically studied under the assumption of noise-free transmission. However, real-world scenarios often involve the presence of …”
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An Improved Distributed Nesterov Gradient Tracking Algorithm for Smooth Convex Optimization Over Directed Networks von Lin, Yifu, Li, Wenling, Zhang, Bin, Du, Junping

“… This article explores the problem of distributed optimization for functions that are smooth and nonstrongly convex over directed networks. To address this …”
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A stochastic gradient tracking algorithm with adaptive momentum for distributed optimization von Li, Yantao, Hu, Hanqing, Zhang, Keke, Lü, Qingguo, Deng, Shaojiang, Li, Huaqing

“… In this paper, we study distributed optimization problems where each node owns a local convex cost function calculated as the average of multiple constituent …”
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S-DIGing: A Stochastic Gradient Tracking Algorithm for Distributed Optimization von Li, Huaqing, Zheng, Lifeng, Wang, Zheng, Yan, Yu, Feng, Liping, Guo, Jing

“… Integrating the gradient tracking algorithm with stochastic averaging gradient technology, a distributed stochastic gradient tracking (termed as S-DIGing …”
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A Nesterov-Like Gradient Tracking Algorithm for Distributed Optimization Over Directed Networks von Lu, Qingguo, Liao, Xiaofeng, Li, Huaqing, Huang, Tingwen

“… In this article, we concentrate on dealing with the distributed optimization problem over a directed network, where each unit possesses its own convex cost …”
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A uniform momentum-based distributed stochastic gradient tracking algorithm for non-convex optimization von Li, Yantao, Wu, Chaoxu, Chen, Yingjue, Zhang, Keke, Lü, Qingguo, Deng, Shaojiang, Li, Huaqing

“… This paper investigates distributed non-convex optimization problems, specifically focusing on a collaborative approach to optimize a global non-convex …”
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A Continuous-Time Gradient-Tracking Algorithm for Directed Networks von Dhullipalla, Mani H., Chen, Tongwen

“… In this letter, we consider the problem of unconstrained convex optimization over directed networks and design a continuous-time (CT) gradient-tracking …”
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A Distributed Nesterov-Like Gradient Tracking Algorithm for Composite Constrained Optimization von Zheng, Lifeng, Li, Huaqing, Li, Jun, Wang, Zheng, Lu, Qingguo, Shi, Yawei, Wang, Huiwei, Dong, Tao, Ji, Lianghao, Xia, Dawen

“… This paper focuses on the constrained optimization problem where the objective function is composed of smooth (possibly nonconvex) and nonsmooth parts. The …”
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On the linear convergence of distributed Nash equilibrium seeking for multi-cluster games under partial-decision information von Meng, Min, Li, Xiuxian

“… This paper considers the distributed strategy design for Nash equilibrium (NE) seeking in multi-cluster games under a partial-decision information scenario. In …”
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Compressed gradient tracking algorithms for distributed nonconvex optimization von Xu, Lei, Yi, Xinlei, Wen, Guanghui, Shi, Yang, Johansson, Karl H., Yang, Tao

“… By integrating them, respectively, with the distributed gradient tracking algorithm, we then propose three corresponding compressed distributed nonconvex optimization algorithms …”
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A consensus algorithm based on multi-agent system with state noise and gradient disturbance for distributed convex optimization von Meng, Xiwang, Liu, Qingshan

“… Almost all systems are inevitably subject to various uncertainties or disturbances from the external environment in practical applications. Taking these …”
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Privacy-Preserving Push-Based Distributed Implicit Gradient-Tracking Algorithm with Added Noises for Economic Dispatch in Microgrids von Gong, Wei, Liu, Bing

“… This paper proposes a privacy-preserving push-based distributed implicit gradient-tracking algorithm …”
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An Accelerated Gradient Tracking Algorithm with Projection Error for Distributed Optimization von Meng, Xiwang, Liu, Qingshan, Xiong, Jiang

“… A distributed accelerated gradient tracking algorithm is proposed based on projection method. In addition, we introduce a projection error term and a corresponding auxiliary parameter in the algorithm to accelerate the convergence rate …”
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A Hierarchical Gradient Tracking Algorithm for Mitigating Subnet-Drift in Fog Learning Networks von Chen, Evan, Wang, Shiqiang, Brinton, Christopher G

“… Federated learning (FL) encounters scalability challenges when implemented over fog networks that do not follow FL's conventional star topology architecture …”
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A Decentralized Proximal Gradient Tracking Algorithm for Composite Optimization on Riemannian Manifolds von Wang, Lei, Le, Bao, Liu, Xin

“… This paper focuses on minimizing a smooth function combined with a nonsmooth regularization term on a compact Riemannian submanifold embedded in the Euclidean …”
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