{"total":27,"rows":[{"id":"2305.18292","title":"Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models","created":"2023-05-29","cited_by_count":261,"area":"diffusion"},{"id":"2305.04063","title":"Exploring One-shot Semi-supervised Federated Learning with A Pre-trained Diffusion Model","created":"2023-05-06","cited_by_count":33,"area":"diffusion"},{"id":"2401.02433","title":"FedDiff: Diffusion Model Driven Federated Learning for Multi-Modal and Multi-Clients","created":"2023-11-16","cited_by_count":23,"area":"diffusion"},{"id":"2409.01128","title":"Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning","created":"2024-09-02","cited_by_count":23,"area":"diffusion"},{"id":"2306.04098","title":"Phoenix: A Federated Generative Diffusion Model","created":"2023-06-07","cited_by_count":22,"area":"diffusion"},{"id":"2405.07925","title":"Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data","created":"2024-05-13","cited_by_count":11,"area":"diffusion"},{"id":"2405.14132","title":"Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization","created":"2024-05-23","cited_by_count":10,"area":"diffusion"},{"id":"2502.08488","title":"One-Shot Federated Learning with Classifier-Free Diffusion Models","created":"2025-02-12","cited_by_count":7,"area":"diffusion"},{"id":"2503.06426","title":"Federated Learning for Diffusion Models","created":"2025-03-09","cited_by_count":7,"area":"diffusion"},{"id":"2508.01586","title":"Diffusion Models for Future Networks and Communications: A Comprehensive Survey","created":"2025-08-03","cited_by_count":6,"area":"diffusion"},{"id":"2405.17457","title":"Data-Free Federated Class Incremental Learning with Diffusion-Based Generative Memory","created":"2024-05-22","cited_by_count":3,"area":"diffusion"},{"id":"2507.06482","title":"FedDifRC: Unlocking the Potential of Text-to-Image Diffusion Models in Heterogeneous Federated Learning","created":"2025-07-09","cited_by_count":3,"area":"diffusion"},{"id":"2411.06618","title":"Using Diffusion Models as Generative Replay in Continual Federated Learning -- What will Happen?","created":"2024-11-10","cited_by_count":2,"area":"diffusion"},{"id":"2412.16083","title":"Federated Diffusion Modeling with Differential Privacy for Tabular Data Synthesis","created":"2024-12-20","cited_by_count":2,"area":"diffusion"},{"id":"2603.19337","title":"Diffusion-Guided Semantic Consistency for Multimodal Heterogeneity","created":"2026-03-19","cited_by_count":2,"area":"diffusion"},{"id":"2402.12537","title":"ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning","created":"2024-02-19","cited_by_count":1,"area":"diffusion"},{"id":"2507.06449","title":"FedPhD: Federated Pruning with Hierarchical Learning of Diffusion Models","created":"2025-07-08","cited_by_count":1,"area":"diffusion"},{"id":"2507.19045","title":"A New One-Shot Federated Learning Framework for Medical Imaging Classification with Feature-Guided Rectified Flow and Knowledge Distillation","created":"2025-07-25","cited_by_count":1,"area":"diffusion"},{"id":"2602.02685","title":"Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models","created":"2026-02-02","cited_by_count":1,"area":"diffusion"},{"id":"2409.05701","title":"pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning","created":"2024-09-09","cited_by_count":0,"area":"diffusion"},{"id":"2503.03110","title":"WarmFed: Federated Learning with Warm-Start for Globalization and Personalization Via Personalized Diffusion Models","created":"2025-03-05","cited_by_count":0,"area":"diffusion"},{"id":"2506.12303","title":"SPIRE: Conditional Personalization for Federated Diffusion Generative Models","created":"2025-06-14","cited_by_count":0,"area":"diffusion"},{"id":"2511.11585","title":"Parameter-Efficient and Personalized Federated Training of Generative Models at the Edge","created":"2025-10-11","cited_by_count":0,"area":"diffusion"},{"id":"2601.15722","title":"Communication-efficient Federated Graph Classification via Generative Diffusion Modeling","created":"2026-01-22","cited_by_count":0,"area":"diffusion"},{"id":"2604.08037","title":"PrivFedTalk: Privacy-Aware Federated Diffusion with Identity-Stable Adapters for Personalized Talking-Head Generation","created":"2026-04-09","cited_by_count":0,"area":"diffusion"},{"id":"2605.04108","title":"MuCALD-SplitFed: Causal-Latent Diffusion for Privacy-Preserving Multi-Task Split-Federated Medical Image Segmentation","created":"2026-05-04","cited_by_count":0,"area":"diffusion"},{"id":"2607.16300","title":"FedDP-PALD: A Privacy-Preserving Federated Latent Diffusion Framework with Prototype Aggregation for Medical Data Synthesis","created":"2026-07-13","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}