Primal-dual

Journal Papers

  • D. Kovalev, A. Beznosikov, E. Borodich, A. Gasnikov, and G. Scutari, “Optimal Gradient Sliding and Its Application to Optimal Distributed Optimization under Similarity,” Proc. Conference on Neural Information Processing Systems (NeurIPS 2022), 2022 (Spotlight, acceptance rate 4%).
  • A. Beznosikov, G. Scutari, A. Rogozin, and A. Gasnikov, “Distributed Saddle-Point Problems under Data Similarity,” Proc. Conference on Neural Information Processing Systems (NeurIPS 2021), 2021.
  • J. Xu, Y. Tian, Y. Sun, and G. Scutari, “Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks,” Proc. International Conference on Artificial Intelligence and Statistics (AISTATS 2020), 2020.
  • F. Facchinei, J.-S. Pang, and G. Scutari, “Non-Cooperative Games with Minmax Objectives,” Computational Optimization and Applications, vol. 59, no. 1, pp. 85–112, Oct. 2014 [DOI].

Refereed Conference Papers

  • M. Maros and G. Scutari, “A Unified View of Decentralized Algorithms for Sparse Linear Regression,” Proc. of the 2023 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP23), Dec. 10–13, 2023, Los Suenos, Costa Rica.