{"total":12,"rows":[{"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":"2210.01176","title":"PersA-FL: Personalized Asynchronous Federated Learning","created":"2022-10-03","cited_by_count":5,"area":null},{"id":"2410.18862","title":"FedSPD: A Soft-clustering Approach for Personalized Decentralized Federated Learning","created":"2024-10-24","cited_by_count":5,"area":null},{"id":"2501.04443","title":"Revisiting LocalSGD and SCAFFOLD: Improved Rates and Missing Analysis","created":"2025-01-08","cited_by_count":4,"area":null},{"id":"2407.04460","title":"Smart Sampling: Helping from Friendly Neighbors for Decentralized Federated Learning","created":"2024-07-05","cited_by_count":2,"area":null},{"id":"2410.03042","title":"FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning","created":"2024-10-03","cited_by_count":2,"area":null},{"id":"2402.05050","title":"Federated Learning Can Find Friends That Are Advantageous","created":"2024-02-07","cited_by_count":1,"area":null},{"id":"2410.03497","title":"Collaborative and Efficient Personalization with Mixtures of Adaptors","created":"2024-10-04","cited_by_count":1,"area":null},{"id":"2501.19279","title":"S-VOTE: Similarity-based Voting for Client Selection in Decentralized Federated Learning","created":"2025-01-31","cited_by_count":0,"area":null},{"id":"2505.14081","title":"Personalized and Resilient Distributed Learning Through Opinion Dynamics","created":"2025-05-20","cited_by_count":0,"area":null},{"id":"2609.07312","title":"Robust Decentralized Personalized Federated Learning via Prediction-Constrained Neighborhood Collaboration","created":"2026-09-07","cited_by_count":0,"area":null}],"next_cursor":null}