heterogeneous model

AdaMMS: Model Merging for Heterogeneous Multimodal Large Language Models with Unsupervised Coefficient Optimization CVPR 2025 Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting ICML 2025 DCHM: Dynamic Collaboration of Heterogeneous Models Through Isomerism Learning in a Blockchain-Powered Federated Learning Framework AAAI 2025 Fed-DFA: Federated Distillation for Heterogeneous Model Fusion Through the Adversarial Lens AAAI 2025 Federated Learning with Heterogeneous LLMs: Integrating Small Student Client Models with a Large Hungry Model AAAI 2025 Fuse Before Transfer: Knowledge Fusion for Heterogeneous Distillation ICCV 2025 MergeNet: Knowledge Migration Across Heterogeneous Models, Tasks, and Modalities AAAI 2025 Rethinking the Temperature for Federated Heterogeneous Distillation ICML 2025 Subspace Constraint and Contribution Estimation for Heterogeneous Federated Learning CVPR 2025 You Share Beliefs, I Adapt: Progressive Heterogeneous Collaborative Perception ICCV 2025 An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning CVPR 2024 Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration NeurIPS 2024 Federated Model Heterogeneous Matryoshka Representation Learning NeurIPS 2024 FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning AAAI 2024 Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction NeurIPS 2023 Towards Personalized Federated Learning via Heterogeneous Model Reassembly NeurIPS 2023 UniKD: Universal Knowledge Distillation for Mimicking Homogeneous or Heterogeneous Object Detectors ICCV 2023 Robust Federated Learning With Noisy and Heterogeneous Clients CVPR 2022 Ensemble-Within-Ensemble Classification for Escalation Prediction from Speech Interspeech 2021 Federated Model Distillation with Noise-Free Differential Privacy IJCAI 2021 Ensemble Distillation for Robust Model Fusion in Federated Learning NeurIPS 2020 Fitting Multiple Heterogeneous Models by Multi-Class Cascaded T-Linkage CVPR 2019 Learning Heterogeneous Hidden Markov Random Fields AISTATS 2014