Author:
Rogozin Alexander,Gasnikov Alexander,Beznosikov Aleksander,Kovalev Dmitry
Publisher
Springer International Publishing
Reference84 articles.
1. Allen-Zhu Z (2017) Katyusha: the first direct acceleration of stochastic gradient methods. In: Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing, STOC 2017, New York, NY, USA. ACM, pp 1200–1205. arXiv:1603.05953
2. Bansal N, Gupta A (2019) Potential-function proofs for gradient methods. Theory Comput 15(1):1–32
3. Bazerque JA, Giannakis GB (2009) Distributed spectrum sensing for cognitive radio networks by exploiting sparsity. IEEE Trans Signal Process 58(3):1847–1862
4. Bertsekas DP, Tsitsiklis JN (1989) Parallel and distributed computation: numerical methods, vol 23. Prentice Hall, Englewood Cliffs, NJ
5. Beznosikov A, Dvurechensky P, Koloskova A, Samokhin V, Stich SU, Gasnikov A (2021) Decentralized local stochastic extra-gradient for variational inequalities. arXiv preprint arXiv:2106.08315
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