model heterogeneity

FedAFD: Multimodal Federated Learning via Adversarial Fusion and Distillation CVPR 2026 FedBRICK: Structural Bias Aware Heterogeneous Foundation Model Federated Tuning AAAI 2026 FedCD: Towards Consolidated Distillation for Heterogeneous Federated Learning AAAI 2026 FedRE: A Representation Entanglement Framework for Model-Heterogeneous Federated Learning CVPR 2026 FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning AAAI 2025 One-shot Federated Learning Methods: A Practical Guide IJCAI 2025 Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning ICML 2024 FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity ICLR 2024 FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning IJCAI 2024 FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning AAAI 2024 FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction NeurIPS 2024 Robust Heterogeneous Federated Learning under Data Corruption ICCV 2023 Towards Personalized Federated Learning via Heterogeneous Model Reassembly NeurIPS 2023