Publisher
Springer Nature Singapore
Reference65 articles.
1. S. Pu, A. Olshevsky, I.C. Paschalidis, Asymptotic network independence in distributed stochastic optimization for machine learning: examining distributed and centralized stochastic gradient descent. IEEE Signal Process. Mag. 37(3), 114–122 (2020)
2. Z. Wang, H. Li, Edge-based stochastic gradient algorithm for distributed optimization. IEEE Trans. Netw. Sci. Eng. 7(3), 1421–1430 (2020)
3. C. Li, X. Yu, T. Huang, X. He, Distributed optimal consensus over resource allocation network and its application to dynamical economic dispatch. IEEE Trans. Neural Netw. Learn. Syst. 29(6), 2407–2418 (2018)
4. N. Heydaribeni, A. Anastasopoulos, Distributed mechanism design for network resource allocation problems. IEEE Trans. Netw. Sci. Eng. 7(2), 621–636 (2020)
5. M. Rossi, M. Centenaro, A. Ba, S. Eleuch, T. Erseghe, M. Zorzi, Distributed learning algorithms for optimal data routing in IoT networks. IEEE Trans. Signal Inf. Proc. Netw. 6, 175–195 (2020)