{"total":18,"rows":[{"id":"2302.04083","title":"Improving the Model Consistency of Decentralized Federated Learning","created":"2023-02-08","cited_by_count":45,"area":null},{"id":"2102.07091","title":"Decentralized Riemannian Gradient Descent on the Stiefel Manifold","created":"2021-02-14","cited_by_count":33,"area":null},{"id":"2112.14949","title":"Decentralized Optimization Over the Stiefel Manifold by an Approximate Augmented Lagrangian Function","created":"2021-12-30","cited_by_count":11,"area":null},{"id":"2405.17876","title":"Decentralized Directed Collaboration for Personalized Federated Learning","created":"2024-05-28","cited_by_count":9,"area":null},{"id":"2305.15157","title":"Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training","created":"2023-05-24","cited_by_count":8,"area":null},{"id":"2308.10547","title":"Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold","created":"2023-08-21","cited_by_count":7,"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":"2103.00704","title":"FedPower: Privacy-Preserving Distributed Eigenspace Estimation","created":"2021-03-01","cited_by_count":4,"area":null},{"id":"2103.06406","title":"Distributed Principal Subspace Analysis for Partitioned Big Data: Algorithms, Analysis, and Implementation","created":"2021-03-11","cited_by_count":4,"area":null},{"id":"2409.07223","title":"Riemannian Federated Learning via Averaging Gradient Streams","created":"2024-09-11","cited_by_count":4,"area":null},{"id":"2510.01377","title":"DeMuon: A Decentralized Muon for Matrix Optimization over Graphs","created":"2025-10-01","cited_by_count":4,"area":null},{"id":"2108.12373","title":"FAST-PCA: A Fast and Exact Algorithm for Distributed Principal Component Analysis","created":"2021-08-27","cited_by_count":3,"area":null},{"id":"2510.07980","title":"Unveiling the Power of Multiple Gossip Steps: A Stability-Based Generalization Analysis in Decentralized Training","created":"2025-10-09","cited_by_count":2,"area":null},{"id":"2303.17779","title":"Decentralized Weakly Convex Optimization Over the Stiefel Manifold","created":"2023-03-31","cited_by_count":1,"area":null},{"id":"2506.07351","title":"Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking","created":"2025-06-09","cited_by_count":1,"area":null},{"id":"2410.08956","title":"Rapid Grassmannian Averaging with Chebyshev Polynomials","created":"2024-10-11","cited_by_count":0,"area":null},{"id":"2602.03682","title":"Improved Analysis of the Accelerated Noisy Power Method with Applications to Decentralized PCA","created":"2026-02-03","cited_by_count":0,"area":null},{"id":"2608.04406","title":"Incremental Aggregation on the Grassmannian for Asynchronous Eigenspace Computation","created":"2026-08-05","cited_by_count":0,"area":null}],"next_cursor":null}