B. Franci, On Variance-Reduced Extragradient Methods for Stochastic Generalized Nash Equilibrium Problems. (2025) IEEE Control Systems Letters, doi: 10.1109/LCSYS.2025.3615593.
B. Franci, F. Fabiani, A. Bemporad, Actively learning equilibria in Nash games with misleading information. (2025) IEEE Control Systems Letters, vol. 9, pp. 312-317, 2025, doi: 10.1109/LCSYS.2025.3572421
B. Franci, F. Fabiani, M. Schmidt, M. Staudigl, A Gauss-Seidel method for solving multi-leader-multi-follower games. 2025 European Control Conference (ECC), Thessaloniki, Greece, 2025, pp. 2775-2780, doi: 10.23919/ECC65951.2025.11187084.
B. Franci, F. Fabiani, L. Zino, Generalized Nash equilibrium problems under partial-decision information with biased agents. 2024 IEEE 63rd Conference on Decision and Control (CDC), Milan, Italy, 2024, pp. 4694-4699, doi: 10.1109/CDC56724.2024.10886508.
B. Franci, F. Fabiani, Sharing beliefs to learn Nash equilibria. IEEE European Control Conference (ECC24), 2024, pp. 317-322, doi: 10.23919/ECC64448.2024.10590955
G. Pantazis, B. Franci, S. Grammatico, K. Margellos, Distributionally robust stability of payoff allocations in stochastic coalitional games. 2023 62nd IEEE Conference on Decision and Control (CDC), Singapore, Singapore, 2023, pp. 7617-7622, doi: 10.1109/CDC49753.2023.10383218.
G. Pantazis, B. Franci, S. Grammatico. Data-driven Wasserstein distributionally robust Nash equilibrium problems. (2023) [arXiv preprint arXiv:2312.03573].
F. Fabiani, B. Franci, On Distributionally Robust Generalized Nash Games Defined over the Wasserstein Ball. Journal of Optimization Theory and Applications, 199, 2023, pp. 298-309, doi.org/10.1007/s10957-023-02284-3.
F. Fabiani, B. Franci, S. Sagratella, M. Schmidt, M. Staudigl, Proximal-like algorithms for equilibrium seeking in mixed-integer Nash equilibrium problems. 2022 IEEE 61st Conference on Decision and Control (CDC), Cancun, Mexico, 2022, pp. 4137-4142, doi: 10.1109/CDC51059.2022.9993250.
F. Fabiani, B. Franci. A stochastic generalized Nash equilibrium model for platforms competition in the ride-hail market. 2022 IEEE 61st Conference on Decision and Control (CDC), Cancun, Mexico, 2022, pp. 4455-4460, doi: 10.1109/CDC51059.2022.9993244.
B. Franci, M. Staudigl. Mini-batch stochastic three-operator splitting for distributed optimization. IEEE Control Systems Letters, vol. 6, pp. 2882-2887, 2022, doi: 10.1109/LCSYS.2022.3179957.
O. Bilenne, B. Franci, P. Jacquot, N. Oudjane, M. Staudigl, C. Wan, A privacy-preserving distributed computational approach for distributed locational marginal prices. 2022 IEEE 61st Conference on Decision and Control (CDC), Cancun, Mexico, 2022, pp. 4143-4148, doi: 10.1109/CDC51059.2022.9992627.
B. Franci, S. Grammatico. Convergence of sequences: A survey. Annual Reviews in Control (2022). doi: 10.1016/j.arcontrol.2022.01.003.
S. Cui, B. Franci, S. Grammatico, U. V. Shanbhag, M. Staudigl. A relaxed-inertial forward-backward-forward algorithm for Stochastic Generalized Nash equilibrium seeking. 60th IEEE Conference on Decision and Control (CDC), Austin, TX, USA, 2021, pp. 197-202, doi: 10.1109/CDC45484.2021.9682905.
B. Franci and S. Grammatico, Forward–Backward algorithms for stochastic Nash equilibrium seeking in restricted strongly and strictly monotone games, 60th IEEE Conference on Decision and Control (CDC), Austin, TX, USA, 2021, pp. 221-226, doi: 10.1109/CDC45484.2021.9682852.
B. Franci, S. Grammatico. Stochastic generalized Nash equilibrium seeking in merely monotone games. IEEE Transactions on Automatic Control, vol. 67, no. 8, pp. 3905-3919, 2022, doi: 10.1109/TAC.2021.3108496.
B. Franci, S. Grammatico. Training Generative Adversarial Networks via stochastic Nash games. IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 3, pp. 1319-1328, 2021, doi: 10.1109/TNNLS.2021.3105227.
B. Franci, S. Grammatico. Distributed projected–reflected–gradient algorithms for stochastic generalized Nash equilibrium problems. 2021 European Control Conference (ECC), 2021, pp. 369-374, doi: 10.23919/ECC54610.2021.9655217
B. Franci, S. Grammatico. Stochastic generalized Nash equilibrium seeking under partial-decision information. Automatica (2020), doi: 10.1016/j.automatica.2021.110101.
B. Franci, S. Grammatico. A game-theoretic approach for Generative Adversarial Networks. 2020 59th IEEE Conference on Decision and Control (CDC), Jeju Island, Korea (South), pp. 1646-1651, doi:10.1109/CDC42340.2020.9304183.
B. Franci, S. Grammatico. Distributed Forward-Backward algorithms for stochastic generalized Nash equilibrium seeking. IEEE Transactions on Automatic Control, doi: 10.1109/TAC.2020.3047369.
B. Franci, S. Grammatico. A damped forward-backward algorithm for stochastic generalized Nash equilibrium seeking. 2020 European Control Conference (ECC), Saint Petersburg, Russia, 2020, pp. 1117-1122, doi: 10.23919/ECC51009.2020.9143966.
B. Franci, S. Grammatico, M. Staudigl. Distributed forward-backward (half) forward algorithms for generalized Nash equilibrium seeking. 2020 European Control Conference (ECC), Saint Petersburg, Russia, 2020, pp. 1274-1279, doi: 10.23919/ECC51009.2020.9143676.
F. Bullo, F. Fagnani, B. Franci, Finite-time Wisdom of Crowds and Naive Learning. SIAM Journal on Control and Optimization 58.2 (2020): 636-659, doi.org/10.1137/18M1232267.
F. Fagnani, B. Franci, A game theoretic approach to a network allocation problem. (2017). [arXiv preprint arXiv:1809.07637].
F. Fagnani, B. Franci, A game theoretic approach to a network cloud storage problem. (2017). [arXiv preprint arXiv:1701.05842].
F. Fagnani, B. Franci, E. Grasso, A game theoretic approach to a peer-to-peer cloud storage model. (2016). Proceedings of the 22nd International Symposium on Mathematical Theory of Networks and Systems. Retrieved from the University of Minnesota Digital Conservancy, http://hdl.handle.net/11299/181518.
C. Bocci, B. Franci, Waldschmidt constants for Stanley-Reisner ideals of a class of simplicial complexes. (2016). Journal of Algebra and Its Applications, 15(07), 1650137, doi.org/10.1142/S0219498816501371.