Subject
Computer Networks and Communications,Hardware and Architecture,Software
Reference32 articles.
1. Advances and open problems in federated learning;Kairouz;Found. Trends Mach. Learn.,2021
2. T. Nishio, R. Yonetani, Client selection for federated learning with heterogeneous resources in mobile edge, in: IEEE International Conference on Communications, ICC, 2019, pp. 1–7.
3. Fedmccs: multicriteria client selection model for optimal IoT federated learning;AbdulRahman;IEEE Internet Things J.,2021
4. B. McMahan, E. Moore, D. Ramage, S. Hampson, B.A. y Arcas, Communication-efficient learning of deep networks from decentralized data, in: 20th International Conference on Artificial Intelligence and Statistics, AISTATS, 2017, pp. 1273–1282.
5. Privacy-aware resource sharing in cross-device federated model training for collaborative predictive maintenance;Bharti;IEEE Access,2021
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