Search Results - synchronous and asynchronous decentralized algorithms

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  1. 1

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

    ISSN: 1045-9219, 1558-2183
    Published: New York IEEE 01.10.2021
    “… In order to resolve the totally non-smooth constrained composite optimization problem in a fully decentralized manner, we devise a synchronous…”
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    Journal Article
  2. 2

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

    ISSN: 2332-7731, 2332-7731
    Published: Piscataway IEEE 01.10.2025
    “… Furthermore, due to the high heterogeneity of 6G networks, the training speed of conventional synchronous distributed algorithms may be seriously affected by slow devices…”
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    Journal Article
  3. 3

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

    ISSN: 0965-9978
    Published: Elsevier Ltd 01.08.2014
    Published in Advances in engineering software (1992) (01.08.2014)
    “…•We consider parallel solution of discrete problem by asynchronous Schwarz method.•Parallel experiments show the interest of asynchronous algorithms…”
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    Journal Article
  4. 4

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

    ISSN: 2161-4407
    Published: IEEE 18.07.2021
    “… In this work, we propose a decentralized learning of randomization-based neural networks with asynchronous communication and achieve centralized equivalent performance…”
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    Conference Proceeding
  5. 5

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

    ISSN: 0018-9286, 1558-2523
    Published: New York IEEE 01.03.2025
    Published in IEEE transactions on automatic control (01.03.2025)
    “… While synchronous algorithms are heavily impacted by a few slow nodes or edges in the graph (the straggler problem…”
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    Journal Article
  6. 6

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

    ISSN: 1045-9219, 1558-2183
    Published: New York IEEE 01.01.2023
    “…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…”
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  7. 7

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

    ISSN: 2327-4697, 2334-329X
    Published: Piscataway IEEE 01.07.2022
    “… (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…”
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    Journal Article
  8. 8

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

    ISSN: 1053-587X, 1941-0476
    Published: New York IEEE 15.05.2017
    Published in IEEE transactions on signal processing (15.05.2017)
    “… 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…”
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    Journal Article
  9. 9

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

    ISSN: 0162-8828, 1939-3539, 2160-9292, 1939-3539
    Published: 01.11.2022
    “… Recently, the asynchronous decentralized parallel stochastic gradient descent (ADPSGD) algorithm has been proposed and demonstrated to be an efficient and practical…”
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    Journal Article
  10. 10

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

    ISSN: 0925-2312, 1872-8286
    Published: Elsevier B.V 02.12.2015
    Published in Neurocomputing (Amsterdam) (02.12.2015)
    “… We propose an asynchronous and decentralized PCA algorithm dedicated to large scale problems, where “large…”
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    Journal Article
  11. 11

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

    ISSN: 0885-8950, 1558-0679
    Published: New York IEEE 01.09.2019
    Published in IEEE transactions on power systems (01.09.2019)
    “… In this paper, we focus on developing an asynchronous decentralized solution framework for the unit commitment problem for large scale power networks…”
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    Journal Article
  12. 12

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

    ISSN: 2325-5870, 2372-2533
    Published: Piscataway IEEE 01.09.2021
    “…The computational efficiency of the asynchronous stochastic gradient descent (ASGD) against its synchronous version has been well documented in recent works…”
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    Journal Article
  13. 13

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

    ISSN: 2327-4662, 2327-4662
    Published: Piscataway IEEE 01.11.2024
    Published in IEEE internet of things journal (01.11.2024)
    “… Parameter sharing consists of synchronous and asynchronous ways: the former transmits parameters as blocks or frames and waits until all transmissions finish, whereas…”
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    Journal Article
  14. 14

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

    ISSN: 2641-8770, 2641-8770
    Published: Piscataway IEEE 01.06.2021
    “…In this paper, we introduce an asynchronous decentralized accelerated stochastic gradient descent type of algorithm for decentralized stochastic optimization…”
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    Journal Article
  15. 15

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

    ISSN: 1532-0626, 1532-0634
    Published: Hoboken Wiley Subscription Services, Inc 25.05.2020
    Published in Concurrency and computation (25.05.2020)
    “…Summary This paper presents GRIDHPC, a decentralized environment dedicated to high performance computing…”
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    Journal Article
  16. 16

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

    ISSN: 0162-8828, 1939-3539
    Published: New York The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 01.01.2022
    “… Recently, the asynchronous decentralized parallel stochastic gradient descent (ADPSGD) algorithm has been proposed and demonstrated to be an efficient and practical…”
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    Journal Article
  17. 17

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

    ISSN: 2169-3536, 2169-3536
    Published: Piscataway IEEE 01.01.2023
    Published in IEEE access (01.01.2023)
    “…: More concretely, we propose a solution to monitor decentralized systems where monitors are expressed as stream runtime verification specifications…”
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    Journal Article
  18. 18

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

    ISSN: 1938-1883
    Published: IEEE 16.05.2022
    “… 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…”
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    Conference Proceeding
  19. 19

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

    ISSN: 1938-1883
    Published: IEEE 09.06.2024
    “… 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…”
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    Conference Proceeding
  20. 20

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

    ISSN: 2162-237X, 2162-2388, 2162-2388
    Published: New York, NY IEEE 01.11.2012
    “… A decentralized asynchronous learning (DAL) framework for CNNs is developed in which each cell of the CNN learns…”
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    Journal Article