model aggregation

FedBaF: Federated Learning Aggregation Biased by a Foundation Model AISTATS 2025 FedCALM: Conflict-aware Layer-wise Mitigation for Selective Aggregation in Deeper Personalized Federated Learning CVPR 2025 FedCFA: Alleviating Simpson’s Paradox in Model Aggregation with Counterfactual Federated Learning AAAI 2025 Federated Domain Generalization with Data-free On-server Matching Gradient ICLR 2025 Federated Learning with Heterogeneous LLMs: Integrating Small Student Client Models with a Large Hungry Model AAAI 2025 FedHAN: A Cache-Based Semi-Asynchronous Federated Learning Framework Defending Against Poisoning Attacks in Heterogeneous Clients IJCAI 2025 FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking ICLR 2025 FedSPA: Generalizable Federated Graph Learning under Homophily Heterogeneity CVPR 2025 Flexible Sharpness-Aware Personalized Federated Learning AAAI 2025 Heterogeneous Federated Learning with Scalable Server Mixture-of-Experts IJCAI 2025 Hypernetwork Aggregation for Decentralized Personalized Federated Learning IJCAI 2025 Improving Federated Domain Generalization Through Dynamical Weights Calculated from Data Influences on Global Model Update AAAI 2025 Improving the Transferability of Adversarial Attacks on Face Recognition with Diverse Parameters Augmentation CVPR 2025 LiD-FL: Towards List-Decodable Federated Learning AAAI 2025 Minimal Variance Model Aggregation: A principled, non-intrusive, and versatile integration of black box models ICLR 2025 Optimising Clinical Federated Learning through Mode Connectivity-based Model Aggregation AISTATS 2025 pFedGPT: Hierarchically Optimizing LoRA Aggregation Weights for Personalized Federated GPT Models EMNLP 2025 SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning AAAI 2025 Subspace Constraint and Contribution Estimation for Heterogeneous Federated Learning CVPR 2025 Towards Federated Low-Rank Adaptation of Language Models with Rank Heterogeneity NAACL 2025 TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning AAAI 2025 A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs NeurIPS 2024 A Primal-Dual Algorithm for Hybrid Federated Learning AAAI 2024 A Swiss Army Knife for Heterogeneous Federated Learning: Flexible Coupling via Trace Norm NeurIPS 2024 Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning AAAI 2024