global model

FedRAC: Rolling Submodel Allocation for Collaborative Fairness in Federated Learning CVPR 2026 Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated Learning IJCAI 2025 FedBEns: One-Shot Federated Learning based on Bayesian Ensemble ICML 2025 GHOST: Generalizable One-Shot Federated Graph Learning with Proxy-Based Topology Knowledge Retention ICML 2025 Improving Federated Domain Generalization Through Dynamical Weights Calculated from Data Influences on Global Model Update AAAI 2025 Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees ICML 2025 FedMut: Generalized Federated Learning via Stochastic Mutation AAAI 2024 FedALA: Adaptive Local Aggregation for Personalized Federated Learning AAAI 2023 Revisiting Weighted Aggregation in Federated Learning with Neural Networks ICML 2023 Federated Learning with Partial Model Personalization ICML 2022 Node-wise Localization of Graph Neural Networks IJCAI 2021 Toward Understanding the Influence of Individual Clients in Federated Learning AAAI 2021 Personalized Federated Learning with Moreau Envelopes NeurIPS 2020