Federated Learning

Federated Foundation Models on Heterogeneous Time Series AAAI 2025 Federated Granger Causality Learning For Interdependent Clients With State Space Representation ICLR 2025 Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs AAAI 2025 Federated Graph Condensation with Information Bottleneck Principles AAAI 2025 Federated Graph-Level Clustering Network AAAI 2025 Federated Learning at the Forefront of Fairness: A Multifaceted Perspective IJCAI 2025 Federated Learning with Feature Space Separation for Speaker Recognition Interspeech 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 Posterior Sharing for Multi-Agent Systems in Uncertain Environments L4DC 2025 Federated Prompt-Tuning with Heterogeneous and Incomplete Multimodal Client Data ICCV 2025 Federated Recommendation with Explicitly Encoding Item Bias AAAI 2025 Federated Rényi Fair Inference in Federated Heterogeneous System UAI 2025 Federated Retrieval Augmented Generation for Multi-Product Question Answering COLING 2025 Federated Source-Free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data WACV 2025 Federated Voxel Scene Graph for Intracranial Hemorrhage WACV 2025 Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt 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 FedLEKE: Federated Locate-then-Edit Knowledge Editing for Multi-Client Collaboration ACL 2025 FedMABench: Benchmarking Mobile GUI Agents on Decentralized Heterogeneous User Data EMNLP 2025 FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields ICCV 2025 FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning CVPR 2025