 Moss: Proxy Model-based Full-Weight Aggregation in Federated Learning with Heterogeneous ModelsProceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (IMWUT), 2025 |
 FedAGHN: Personalized Federated Learning with Attentive Graph HyperNetworksKnowledge-Based Systems (KBS), 2025 |
 Equivariant Architectures for Learning in Deep Weight SpacesInternational Conference on Machine Learning (ICML), 2023 |
 M3FGM:a node masking and multi-granularity message passing-based
federated graph model for spatial-temporal data predictionInternational Conference on Neural Information Processing (ICONIP), 2022 |
 Federated Graph Neural Networks: Overview, Techniques and ChallengesIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022 |
