{"total":29,"rows":[{"id":"2305.11584","title":"Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape","created":"2023-05-19","cited_by_count":46,"area":null},{"id":"2203.15104","title":"FedADMM: A Federated Primal-Dual Algorithm Allowing Partial Participation","created":"2022-03-28","cited_by_count":36,"area":null},{"id":"2211.14393","title":"FedSysID: A Federated Approach to Sample-Efficient System Identification","created":"2022-11-25","cited_by_count":17,"area":null},{"id":"2207.08204","title":"Fast Composite Optimization and Statistical Recovery in Federated Learning","created":"2022-07-17","cited_by_count":12,"area":null},{"id":"2310.10089","title":"Over-the-Air Federated Learning and Optimization","created":"2023-10-16","cited_by_count":10,"area":null},{"id":"2301.03113","title":"Randomized Block-Coordinate Optimistic Gradient Algorithms for Root-Finding Problems","created":"2023-01-08","cited_by_count":9,"area":null},{"id":"2309.01795","title":"Composite federated learning with heterogeneous data","created":"2023-09-04","cited_by_count":7,"area":null},{"id":"2308.08290","title":"DFedADMM: Dual Constraints Controlled Model Inconsistency for Decentralized Federated Learning","created":"2023-08-16","cited_by_count":6,"area":null},{"id":"2406.08465","title":"Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data","created":"2024-06-12","cited_by_count":5,"area":null},{"id":"2211.04218","title":"Clustered Federated Learning based on Nonconvex Pairwise Fusion","created":"2022-11-08","cited_by_count":4,"area":null},{"id":"2310.10117","title":"Federated Learning with Convex Global and Local Constraints","created":"2023-10-16","cited_by_count":4,"area":null},{"id":"2504.11903","title":"FedCanon: Non-Convex Composite Federated Learning with Efficient Proximal Operation on Heterogeneous Data","created":"2025-04-16","cited_by_count":4,"area":null},{"id":"2211.04152","title":"Federated Learning Using Three-Operator ADMM","created":"2022-11-08","cited_by_count":3,"area":null},{"id":"2405.10618","title":"Distributed Event-Based Learning via ADMM","created":"2024-05-17","cited_by_count":3,"area":null},{"id":"2305.10294","title":"DualFL: A Duality-based Federated Learning Algorithm with Communication Acceleration in the General Convex Regime","created":"2023-05-17","cited_by_count":2,"area":null},{"id":"2310.19558","title":"Privacy-preserving Federated Primal-dual Learning for Non-convex and Non-smooth Problems with Model Sparsification","created":"2023-10-30","cited_by_count":2,"area":null},{"id":"2402.18018","title":"Communication Efficient ConFederated Learning: An Event-Triggered SAGA Approach","created":"2024-02-28","cited_by_count":2,"area":null},{"id":"2409.18915","title":"A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs","created":"2024-09-27","cited_by_count":2,"area":null},{"id":"2411.19242","title":"Controlling Participation in Federated Learning with Feedback","created":"2024-11-28","cited_by_count":1,"area":null},{"id":"2604.24012","title":"FedSLoP: Memory-Efficient Federated Learning with Low-Rank Gradient Projection","created":"2026-04-27","cited_by_count":1,"area":null},{"id":"2406.19050","title":"FedMap: Iterative Magnitude-Based Pruning for Communication-Efficient Federated Learning","created":"2024-06-27","cited_by_count":0,"area":null},{"id":"2407.09360","title":"Novel clustered federated learning based on local loss","created":"2024-07-12","cited_by_count":0,"area":null},{"id":"2408.10090","title":"Federated Frank-Wolfe Algorithm","created":"2024-08-19","cited_by_count":0,"area":null},{"id":"2409.15568","title":"Cross-Domain Latent Factors Sharing via Implicit Matrix Factorization","created":"2024-09-23","cited_by_count":0,"area":null},{"id":"2504.12742","title":"Decentralized Nonconvex Composite Federated Learning with Gradient Tracking and Momentum","created":"2025-04-17","cited_by_count":0,"area":null},{"id":"2507.22311","title":"An Asynchronous Decentralised Optimisation Algorithm for Nonconvex Problems","created":"2025-07-30","cited_by_count":0,"area":null},{"id":"2602.04555","title":"Finding Structure in Continual Learning","created":"2026-02-04","cited_by_count":0,"area":null},{"id":"2603.07654","title":"Compressed Proximal Federated Learning for Non-Convex Composite Optimization on Heterogeneous Data","created":"2026-03-08","cited_by_count":0,"area":null},{"id":"2604.18857","title":"Task Switching Without Forgetting via Proximal Decoupling","created":"2026-04-20","cited_by_count":0,"area":null}],"next_cursor":null}