{"total":40,"rows":[{"id":"2205.02215","title":"FedNest: Federated Bilevel, Minimax, and Compositional Optimization","created":"2022-05-04","cited_by_count":60,"area":null},{"id":"2203.04850","title":"Federated Minimax Optimization: Improved Convergence Analyses and Algorithms","created":"2022-03-09","cited_by_count":37,"area":null},{"id":"2106.08315","title":"Decentralized Local Stochastic Extra-Gradient for Variational Inequalities","created":"2021-06-15","cited_by_count":25,"area":null},{"id":"2205.14900","title":"FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation","created":"2022-05-30","cited_by_count":24,"area":null},{"id":"2110.03313","title":"Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees","created":"2021-10-07","cited_by_count":15,"area":null},{"id":"2206.02468","title":"An Optimal Transport Approach to Personalized Federated Learning","created":"2022-06-06","cited_by_count":12,"area":null},{"id":"2108.06869","title":"FedChain: Chained Algorithms for Near-Optimal Communication Cost in Federated Learning","created":"2021-08-16","cited_by_count":11,"area":null},{"id":"2210.14396","title":"FeDXL: Provable Federated Learning for Deep X-Risk Optimization","created":"2022-10-26","cited_by_count":11,"area":null},{"id":"2212.02724","title":"Decentralized Stochastic Gradient Descent Ascent for Finite-Sum Minimax Problems","created":"2022-12-06","cited_by_count":11,"area":null},{"id":"2310.03613","title":"Solving a Class of Non-Convex Minimax Optimization in Federated Learning","created":"2023-10-05","cited_by_count":10,"area":null},{"id":"2110.08477","title":"FedMM: Saddle Point Optimization for Federated Adversarial Domain Adaptation","created":"2021-10-16","cited_by_count":9,"area":null},{"id":"2206.01132","title":"A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning","created":"2022-06-02","cited_by_count":9,"area":null},{"id":"2302.04249","title":"Federated Minimax Optimization with Client Heterogeneity","created":"2023-02-08","cited_by_count":8,"area":null},{"id":"2304.10101","title":"Federated Compositional Deep AUC Maximization","created":"2023-04-20","cited_by_count":8,"area":null},{"id":"2405.00965","title":"Robust Decentralized Learning with Local Updates and Gradient Tracking","created":"2024-05-02","cited_by_count":8,"area":null},{"id":"2211.01122","title":"Fast Adaptive Federated Bilevel Optimization","created":"2022-11-02","cited_by_count":7,"area":null},{"id":"2302.07615","title":"Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities","created":"2023-02-15","cited_by_count":7,"area":null},{"id":"2503.04181","title":"Boosting Offline Optimizers with Surrogate Sensitivity","created":"2025-03-06","cited_by_count":6,"area":null},{"id":"2211.07303","title":"Adaptive Federated Minimax Optimization with Lower Complexities","created":"2022-11-14","cited_by_count":5,"area":null},{"id":"2501.08263","title":"Multiplayer Federated Learning: Reaching Equilibrium with Less Communication","created":"2025-01-14","cited_by_count":5,"area":null},{"id":"2304.10902","title":"Near-Optimal Decentralized Momentum Method for Nonconvex-PL Minimax Problems","created":"2023-04-21","cited_by_count":4,"area":null},{"id":"2306.05100","title":"Communication-Efficient Gradient Descent-Accent Methods for Distributed Variational Inequalities: Unified Analysis and Local Updates","created":"2023-06-08","cited_by_count":4,"area":null},{"id":"2311.00944","title":"Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization","created":"2023-11-02","cited_by_count":4,"area":null},{"id":"2202.05812","title":"Distributed saddle point problems for strongly concave-convex functions","created":"2022-02-11","cited_by_count":3,"area":null},{"id":"2105.14216","title":"CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems","created":"2021-05-29","cited_by_count":2,"area":null},{"id":"2106.10022","title":"Local AdaGrad-Type Algorithm for Stochastic Convex-Concave Optimization","created":"2021-06-18","cited_by_count":2,"area":null},{"id":"2211.01883","title":"Faster Adaptive Momentum-Based Federated Methods for Distributed Composition Optimization","created":"2022-11-03","cited_by_count":2,"area":null},{"id":"2511.04456","title":"Federated Stochastic Minimax Optimization under Heavy-Tailed Noises","created":"2025-11-06","cited_by_count":2,"area":null},{"id":"2202.13863","title":"Provably Efficient Convergence of Primal-Dual Actor-Critic with Nonlinear Function Approximation","created":"2022-02-28","cited_by_count":1,"area":null},{"id":"2301.08015","title":"Global Nash Equilibrium in Non-convex Multi-player Game: Theory and Algorithms","created":"2023-01-19","cited_by_count":1,"area":null},{"id":"2406.02939","title":"Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes","created":"2024-06-05","cited_by_count":1,"area":null},{"id":"2412.03867","title":"GP-FL: Model-Based Hessian Estimation for Second-Order Over-the-Air Federated Learning","created":"2024-12-05","cited_by_count":1,"area":null},{"id":"2505.21012","title":"Federated Instrumental Variable Analysis via Federated Generalized Method of Moments","created":"2025-05-27","cited_by_count":1,"area":null},{"id":"2210.00611","title":"SAGDA: Achieving $\\mathcal{O}(\\epsilon^{-2})$ Communication Complexity in Federated Min-Max Learning","created":"2022-10-02","cited_by_count":0,"area":null},{"id":"2306.01648","title":"Federated Multi-Sequence Stochastic Approximation with Local Hypergradient Estimation","created":"2023-06-02","cited_by_count":0,"area":null},{"id":"2308.14783","title":"Distributed Dual Coordinate Ascent with Imbalanced Data on a General Tree Network","created":"2023-08-28","cited_by_count":0,"area":null},{"id":"2405.16126","title":"Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity","created":"2024-05-25","cited_by_count":0,"area":null},{"id":"2501.14652","title":"Decoupled SGDA for Games with Intermittent Strategy Communication","created":"2025-01-24","cited_by_count":0,"area":null},{"id":"2601.01649","title":"Communication-Efficient Federated AUC Maximization with Cyclic Client Participation","created":"2026-01-04","cited_by_count":0,"area":null},{"id":"2605.26243","title":"Provably Communication-Efficient and Privacy-Preserving Federated Graph Neural Networks","created":"2026-05-25","cited_by_count":0,"area":null}],"next_cursor":null}