model averaging

Classification Under Local Differential Privacy with Model Reversal and Model Averaging JMLR 2026 NTK-DFL: Enhancing Decentralized Federated Learning in Heterogeneous Settings via Neural Tangent Kernel ICML 2025 PA3Fed: Period-Aware Adaptive Aggregation for Improved Federated Learning AAAI 2025 Revisiting Mode Connectivity in Neural Networks with Bezier Surface ICLR 2025 Differentially private methods for managing model uncertainty in linear regression JMLR 2024 GRAWA: Gradient-based Weighted Averaging for Distributed Training of Deep Learning Models AISTATS 2024 Layer-wise linear mode connectivity ICLR 2024 Mitigating the Alignment Tax of RLHF EMNLP 2024 Provable Benefits of Local Steps in Heterogeneous Federated Learning for Neural Networks: A Feature Learning Perspective ICML 2024 Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging ICLR 2024 Stability and L2-penalty in Model Averaging JMLR 2024 Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry (Extended Abstract) IJCAI 2024 Adversarial Collaborative Learning on Non-IID Features ICML 2023 A Unified Theory of Diversity in Ensemble Learning JMLR 2023 Collapsed Inference for Bayesian Deep Learning NeurIPS 2023 DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks CVPR 2023 Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control NeurIPS 2023 Least Squares Model Averaging for Distributed Data JMLR 2023 One For All & All For One: Bypassing Hyperparameter Tuning with Model Averaging for Cross-Lingual Transfer EMNLP 2023 Optimal Parameter-Transfer Learning by Semiparametric Model Averaging JMLR 2023 Robust Collaborative Learning with Linear Gradient Overhead ICML 2023 Why (and When) does Local SGD Generalize Better than SGD? ICLR 2023 A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources ICML 2022 Deep Combinatorial Aggregation NeurIPS 2022 Diversity and Generalization in Neural Network Ensembles AISTATS 2022