Suchergebnisse - synchronous and asynchronous decentralized algorithms

Decentralized Dual Proximal Gradient Algorithms for Non-Smooth Constrained Composite Optimization Problems von Li, Huaqing, Hu, Jinhui, Ran, Liang, Wang, Zheng, Lu, Qingguo, Du, Zhenyuan, Huang, Tingwen

“… In order to resolve the totally non-smooth constrained composite optimization problem in a fully decentralized manner, we devise a synchronous …”
Volltext

Asynchronous Decentralized Federated Anomaly Detection for 6G Networks von Liu, Ya, Yang, Kai

“… Furthermore, due to the high heterogeneity of 6G networks, the training speed of conventional synchronous distributed algorithms may be seriously affected by slow devices …”
Volltext

Asynchronous Schwarz methods applied to constrained mechanical structures in grid environment von Chau, M., Garcia, T., Spiteri, P.

“… •We consider parallel solution of discrete problem by asynchronous Schwarz method.•Parallel experiments show the interest of asynchronous algorithms …”
Volltext

Asynchronous Decentralized Learning of Randomization-Based Neural Networks von Liang, Xinyue, Javid, Alireza M., Skoglund, Mikael, Chatterjee, Saikat

“… In this work, we propose a decentralized learning of randomization-based neural networks with asynchronous communication and achieve centralized equivalent performance …”
Volltext

Asynchronous Speedup in Decentralized Optimization von Even, Mathieu, Hendrikx, Hadrien, Massoulie, Laurent

“… While synchronous algorithms are heavily impacted by a few slow nodes or edges in the graph (the straggler problem …”
Volltext

Asynchronous Algorithms for Decentralized Resource Allocation over Directed Networks von Lu, Qingguo, Liao, Xiaofeng, Deng, Shaojiang, Li, Huaqing

“… In this article, we consider a class of decentralized resource allocation problems over directed networks, where each node only communicates with its in-neighbors and attempts to minimize its own cost …”
Volltext

Decentralized Dual Operator Splitting for Nonsmooth Composite Optimization von Li, Huaqing, Ding, Wentao, Wang, Zheng, Lu, Qingguo, Li, Yongfu, Xia, Dawen

“… (not necessarily strongly convex). Through associating variables with the agents and edges of the network, a decentralized synchronous algorithm is developed based on the dual operator splitting method …”
Volltext

Decentralized Quasi-Newton Methods von Eisen, Mark, Mokhtari, Aryan, Ribeiro, Alejandro

“… is not readily available, making second-order decentralized methods impossible. D-BFGS is a fully distributed algorithm in which nodes approximate curvature information of themselves and their neighbors through the satisfaction of a secant condition …”
Volltext

A(DP)^2SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent with Differential Privacy von Xu, Jie, Zhang, Wei, Wang, Fei

“… Recently, the asynchronous decentralized parallel stochastic gradient descent (ADPSGD) algorithm has been proposed and demonstrated to be an efficient and practical …”
Volltext

Asynchronous gossip principal components analysis von Fellus, Jerome, Picard, David, Gosselin, Philippe-Henri

“… We propose an asynchronous and decentralized PCA algorithm dedicated to large scale problems, where “large …”
Volltext

An Asynchronous, Decentralized Solution Framework for the Large Scale Unit Commitment Problem von Ramanan, Paritosh, Yildirim, Murat, Chow, Edmond, Gebraeel, Nagi

“… In this paper, we focus on developing an asynchronous decentralized solution framework for the unit commitment problem for large scale power networks …”
Volltext

Asynchronous Stochastic Gradient Descent Over Decentralized Datasets von Du, Yubo, You, Keyou

“… The computational efficiency of the asynchronous stochastic gradient descent (ASGD) against its synchronous version has been well documented in recent works …”
Volltext

Decentralized Federated Learning With Asynchronous Parameter Sharing for Large-Scale IoT Networks von Xie, Haihui, Xia, Minghua, Wu, Peiran, Wang, Shuai, Huang, Kaibin

“… Parameter sharing consists of synchronous and asynchronous ways: the former transmits parameters as blocks or frames and waits until all transmissions finish, whereas …”
Volltext

Asynchronous Decentralized Accelerated Stochastic Gradient Descent von Lan, Guanghui, Zhou, Yi

“… In this paper, we introduce an asynchronous decentralized accelerated stochastic gradient descent type of algorithm for decentralized stochastic optimization …”
Volltext

GRIDHPC: A decentralized environment for high performance computing von Fakih, Bilal, El Baz, Didier, Kotenko, Igor

“… Summary This paper presents GRIDHPC, a decentralized environment dedicated to high performance computing …”
Volltext

A(DP)[Formula Omitted]SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent With Differential Privacy von Xu, Jie, Zhang, Wei, Wang, Fei

“… Recently, the asynchronous decentralized parallel stochastic gradient descent (ADPSGD) algorithm has been proposed and demonstrated to be an efficient and practical …”
Volltext

Decentralized Stream Runtime Verification for Timed Asynchronous Networks von Danielsson, Luis Miguel, Sanchez, Cesar

“… : More concretely, we propose a solution to monitor decentralized systems where monitors are expressed as stream runtime verification specifications …”
Volltext

Asynchronous Semi-Decentralized Federated Edge Learning for Heterogeneous Clients von Sun, Yuchang, Shao, Jiawei, Mao, Yuyi, Zhang, Jun

“… This paper proposes an asynchronous training algorithm to overcome this issue in SD-FEEL, where edge servers are allowed to independently set deadlines for the associated client nodes and trigger the model aggregation …”
Volltext

Large-Scale Decentralized Asynchronous Federated Edge Learning with Device Heterogeneity von Liang, Xuan, Tang, Jianhua, Quek, Tony Q. S.

“… an asynchronous algorithm in a novel multi-cluster decentralized federated edge learning (MD-FEEL) framework, where there are many clusters and each cluster consists of some clients …”
Volltext

Decentralized Asynchronous Learning in Cellular Neural Networks von Luitel, B., Venayagamoorthy, G. K.

“… A decentralized asynchronous learning (DAL) framework for CNNs is developed in which each cell of the CNN learns …”
Volltext