Federated Learning

Federated Foundation Models on Heterogeneous Time Series AAAI 2025 Federated Graph Condensation with Information Bottleneck Principles AAAI 2025 Federated Graph-Level Clustering Network AAAI 2025 Federated Incremental Named Entity Recognition COLING 2025 Federated Learning at the Forefront of Fairness: A Multifaceted Perspective IJCAI 2025 Federated Learning with Domain Shift Eraser CVPR 2025 Federated Learning with Heterogeneous LLMs: Integrating Small Student Client Models with a Large Hungry Model AAAI 2025 Federated Learning with Sample-level Client Drift Mitigation AAAI 2025 Federated Low-Rank Adaptation for Foundation Models: A Survey IJCAI 2025 Federated Multi-view Graph Clustering with Incomplete Attribute Imputation IJCAI 2025 Federated Recommendation with Explicitly Encoding Item Bias AAAI 2025 Federated Representation Angle Learning ICCV 2025 Federated Residual Low-Rank Adaptation of Large Language Models ICLR 2025 Federated Retrieval-Augmented Generation: A Systematic Mapping Study EMNLP 2025 Federated Source-Free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data WACV 2025 Federated t-SNE and UMAP for Distributed Data Visualization AAAI 2025 Federated UCBVI: Communication-Efficient Federated Regret Minimization with Heterogeneous Agents AISTATS 2025 Federated Unlearning with Gradient Descent and Conflict Mitigation AAAI 2025 Federated Unsupervised Domain Generalization Using Global and Local Alignment of Gradients AAAI 2025 Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt AAAI 2025 FedEx-LoRA: Exact Aggregation for Federated and Efficient Fine-Tuning of Large Language Models ACL 2025 FedFSL-CFRD: Personalized Federated Few-Shot Learning with Collaborative Feature Representation Disentanglement AAAI 2025 FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation AAAI 2025 FedHAN: A Cache-Based Semi-Asynchronous Federated Learning Framework Defending Against Poisoning Attacks in Heterogeneous Clients IJCAI 2025 FedHB: Hierarchical Bayesian Federated Learning JMLR 2025