Farzad Yousefian

37 papers A* 1B 1C 9Misc 4Journal 18Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Incentive-Aware Federated Averaging with Performance Guarantees under Strategic Participation.
CoRR
Fateme Maleki, Krishnan Raghavan, Farzad Yousefian
2026 J jnl
On Performance Guarantees for Federated Learning with Personalized Constraints.
CoRR
Mohammadjavad Ebrahimi, Daniel Alberto Burbano, Farzad Yousefian
2026 J jnl
Zeroth-Order Gradient and Quasi-Newton Methods for Nonsmooth Nonconvex Stochastic Optimization.
SIAM J. Optim.
Luke Marrinan, Uday V. Shanbhag, Farzad Yousefian
2025 — conf
A Randomized Zeroth-Order Hierarchical Framework for Heterogeneous Federated Learning.
CDC
Yuyang Qiu, Kibaek Kim, Farzad Yousefian
2025 J jnl
A Randomized Zeroth-Order Hierarchical Framework for Heterogeneous Federated Learning.
CoRR
Yuyang Qiu, Kibaek Kim, Farzad Yousefian
2025 J jnl
Improved Guarantees for Optimal Nash Equilibrium Seeking and Bilevel Variational Inequalities.
SIAM J. Optim.
Sepideh Samadi, Farzad Yousefian
2024 C conf
Achieving Optimal Complexity Guarantees for a Class of Bilevel Convex Optimization Problems.
ACC
Sepideh Samadi, Daniel Alberto Burbano, Farzad Yousefian
2024 C conf
Distributed Gradient Tracking Methods with Guarantees for Computing a Solution to Stochastic MPECs.
ACC
Mohammadjavad Ebrahimi, Uday V. Shanbhag, Farzad Yousefian
2024 B conf
Privacy-Preserving Federated Learning for Science: Challenges and Research Directions.
IEEE Big Data
Kibaek Kim, Krishnan Raghavan, Olivera Kotevska, Matthieu Dorier, Ravi K. Madduri, Minseok Ryu, Todd S. Munson, Robert Ross, Thomas Flynn, Ai Kagawa, Byung-Jun Yoon, Christian Engelmann, Farzad Yousefian
2024 J jnl
Randomized Lagrangian stochastic approximation for large-scale constrained stochastic Nash games.
Optim. Lett.
Zeinab Alizadeh, Afrooz Jalilzadeh, Farzad Yousefian
2024 J jnl
Stochastic Approximation for Estimating the Price of Stability in Stochastic Nash Games.
ACM Trans. Model. Comput. Simul.
Afrooz Jalilzadeh, Farzad Yousefian, Mohammadjavad Ebrahimi
2023 J jnl
A Fish Rheotaxis Mechanism as a Zero-Order Optimization Strategy.
IEEE Access
Daniel Alberto Burbano, Farzad Yousefian
2023 J jnl
An Incremental Gradient Method for Optimization Problems With Variational Inequality Constraints.
IEEE Trans. Autom. Control.
Harshal D. Kaushik, Sepideh Samadi, Farzad Yousefian
2023 J jnl
Complexity guarantees for an implicit smoothing-enabled method for stochastic MPECs.
Math. Program.
Shisheng Cui, Uday V. Shanbhag, Farzad Yousefian
2023 A* conf
Zeroth-Order Methods for Nondifferentiable, Nonconvex, and Hierarchical Federated Optimization.
NeurIPS
Yuyang Qiu, Uday V. Shanbhag, Farzad Yousefian
2022 J jnl
A Variable Sample-Size Stochastic Quasi-Newton Method for Smooth and Nonsmooth Stochastic Convex Optimization.
Math. Oper. Res.
Afrooz Jalilzadeh, Angelia Nedic, Uday V. Shanbhag, Farzad Yousefian
2021 J jnl
A Method with Convergence Rates for Optimization Problems with Variational Inequality Constraints.
SIAM J. Optim.
Harshal D. Kaushik, Farzad Yousefian
2021 C conf
An Incremental Gradient Method for Large-scale Distributed Nonlinearly Constrained Optimization.
ACC
Harshal D. Kaushik, Farzad Yousefian
2021 C conf
Bilevel Distributed Optimization in Directed Networks.
ACC
Farzad Yousefian
2020 J jnl
On Stochastic and Deterministic Quasi-Newton Methods for Nonstrongly Convex Optimization: Asymptotic Convergence and Rate Analysis.
SIAM J. Optim.
Farzad Yousefian, Angelia Nedic, Uday V. Shanbhag
2019 C conf
A First-order Method for Monotone Stochastic Variational Inequalities on Semidefinite Matrix Spaces.
ACC
Nahidsadat Majlesinasab, Farzad Yousefian, Mohammad Javad Feizollahi
2019 C conf
A Randomized Block Coordinate Iterative Regularized Subgradient Method for High-dimensional Ill-posed Convex Optimization.
ACC
Harshal Kaushik, Farzad Yousefian
2019 C conf
An Iterative Regularized Incremental Projected Subgradient Method for a Class of Bilevel Optimization Problems.
ACC
Mostafa Amini, Farzad Yousefian
2019 J jnl
Self-Tuned Mirror Descent Schemes for Smooth and Nonsmooth High-Dimensional Stochastic Optimization.
IEEE Trans. Autom. Control.
Nahidsadat Majlesinasab, Farzad Yousefian, Arash Pourhabib
2018 — conf
A Variable Sample-Size Stochastic Quasi-Newton Method for Smooth and Nonsmooth Stochastic Convex Optimization.
CDC
Afrooz Jalilzadeh, Angelia Nedic, Uday V. Shanbhag, Farzad Yousefian
2018 Misc conf
Recent Trends in stochastic Gradient Descent for Machine Learning and Big Data.
WSC
David Newton, Raghu Pasupathy, Farzad Yousefian
2017 Misc conf
A smoothing stochastic quasi-newton method for non-lipschitzian stochastic optimization problems.
WSC
Farzad Yousefian, Angelia Nedic, Uday V. Shanbhag
2017 J jnl
On smoothing, regularization, and averaging in stochastic approximation methods for stochastic variational inequality problems.
Math. Program.
Farzad Yousefian, Angelia Nedic, Uday V. Shanbhag
2016 J jnl
Self-Tuned Stochastic Approximation Schemes for Non-Lipschitzian Stochastic Multi-User Optimization and Nash Games.
IEEE Trans. Autom. Control.
Farzad Yousefian, Angelia Nedic, Uday V. Shanbhag
2016 — conf
Stochastic quasi-Newton methods for non-strongly convex problems: Convergence and rate analysis.
CDC
Farzad Yousefian, Angelia Nedic, Uday V. Shanbhag
2014 — conf
Optimal robust smoothing extragradient algorithms for stochastic variational inequality problems.
CDC
Farzad Yousefian, Angelia Nedic, Uday V. Shanbhag
2013 C conf
A distributed adaptive steplength stochastic approximation method for monotone stochastic Nash Games.
ACC
Farzad Yousefian, Angelia Nedic, Uday V. Shanbhag
2013 Misc conf
A regularized smoothing stochastic approximation (RSSA) algorithm for stochastic variational inequality problems.
WSC
Farzad Yousefian, Angelia Nedic, Uday V. Shanbhag
2012 J jnl
On stochastic gradient and subgradient methods with adaptive steplength sequences.
Autom.
Farzad Yousefian, Angelia Nedic, Uday V. Shanbhag
2011 Misc conf
A regularized adaptive steplength stochastic approximation scheme for monotone stochastic variational inequalities.
WSC
Farzad Yousefian, Angelia Nedic, Uday V. Shanbhag
2011 J jnl
On Stochastic Gradient and Subgradient Methods with Adaptive Steplength Sequences
CoRR
Farzad Yousefian, Angelia Nedic, Uday V. Shanbhag
2010 C conf
Convex nondifferentiable stochastic optimization: A local randomized smoothing technique.
ACC
Farzad Yousefian, Angelia Nedic, Uday V. Shanbhag