federated learning

Generating Synthetic Data for Unsupervised Federated Learning of Cross-Modal Retrieval AAAI 2025 Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning CVPR 2025 Global Group Fairness in Federated Learning via Function Tracking AISTATS 2025 Gradient Inversion Attack in Federated Learning: Exposing Text Data through Discrete Optimization COLING 2025 Gradient Inversion Attacks on Parameter-Efficient Fine-Tuning CVPR 2025 Gradient Inversion of Multimodal Models ICML 2025 GRAIN: Exact Graph Reconstruction from Gradients ICLR 2025 Graph Consistency and Diversity Measurement for Federated Multi-View Clustering AAAI 2025 Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor CVPR 2025 Heterogeneous Federated Learning with Scalable Server Mixture-of-Experts IJCAI 2025 HistoFS: Non-IID Histopathologic Whole Slide Image Classification via Federated Style Transfer with RoI-Preserving CVPR 2025 Hot-pluggable Federated Learning: Bridging General and Personalized FL via Dynamic Selection ICLR 2025 How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? AAAI 2025 Hybrid Batch Normalisation: Resolving the Dilemma of Batch Normalisation in Federated Learning ICML 2025 Identify Backdoored Model in Federated Learning via Individual Unlearning WACV 2025 Improving Federated Domain Generalization Through Dynamical Weights Calculated from Data Influences on Global Model Update AAAI 2025 Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging ICML 2025 Incongruent Multimodal Federated Learning for Medical Vision and Language-based Multi-label Disease Detection AAAI 2025 Inconsistency-Based Federated Active Learning IJCAI 2025 In-depth Analysis of Low-rank Matrix Factorisation in a Federated Setting AAAI 2025 Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning CVPR 2025 Interaction-Aware Gaussian Weighting for Clustered Federated Learning ICML 2025 Large Language Models Enhanced Personalized Graph Neural Architecture Search in Federated Learning AAAI 2025 Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning ICCV 2025 Learn How to Query from Unlabeled Data Streams in Federated Learning AAAI 2025