FedCSR: A new cluster sampling based on rotation mechanism in horizontal federated learning

Author:

Dai Qiang,Yan TongjiangORCID,Ren PengchengORCID

Publisher

Elsevier BV

Subject

Computer Networks and Communications

Reference41 articles.

1. Federated learning: Collaborative machine learning without centralized trainning data;Abhishek;Int. J. Eng. Technol. Manag. Sci.,2022

2. B. McMahan, E. Moore, D. Ramage, S. Hampson, B.A. Arcas, Communication efficient learning of deep network from decentralized data, in: Artificial Intelligence and Statistics, PMLR, Vol. 54, 2017, pp. 1273–1282.

3. J. Konecny, B. McMahan, D. Ramage, P. Richtarik, Federated optimization: distributed machine learning for on-device intelligence, 2016, arXiv:1610.02527.

4. A survey on federated learning systems: vision, hype and reality for data privacy and protection;Li;IEEE Trans. Knowl. Data Eng.,2023

5. T. Li, A. Sahu, M. Zaheer, M. Sanjabi, A. Talwalkar, V. Smith, Federated optimization in heterogeneous networks, in: Conference on Machine Learning and Systems, Vol. 2, 2020, pp. 429–450.

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