Federated Learning

Multilingual Federated Low-Rank Adaptation for Collaborative Content Anomaly Detection across Multilingual Social Media Participants EMNLP 2025 Multilingual Symptom Detection on Social Media: Enhancing Health-related Fact-checking with LLMs ACL 2025 Multimodal Fusion Using Multi-View Domains for Data Heterogeneity in Federated Learning AAAI 2025 MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge Replay AAAI 2025 Navigating Heterogeneity and Privacy in One-Shot Federated Learning with Diffusion Models WACV 2025 NoT: Federated Unlearning via Weight Negation CVPR 2025 Online-LoRA: Task-Free Online Continual Learning via Low Rank Adaptation WACV 2025 On the Byzantine-Resilience of Distillation-Based Federated Learning ICLR 2025 On the Convergence of Continual Federated Learning Using Incrementally Aggregated Gradients AISTATS 2025 On the Importance of Language-driven Representation Learning for Heterogeneous Federated Learning ICLR 2025 On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations ICLR 2025 On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond AISTATS 2025 On the Robustness of Distributed Machine Learning Against Transfer Attacks AAAI 2025 Optimising Clinical Federated Learning through Mode Connectivity-based Model Aggregation AISTATS 2025 Optimizing Cross-Client Domain Coverage for Federated Instruction Tuning of Large Language Models EMNLP 2025 Optimizing Personalized Federated Learning Through Adaptive Layer-Wise Learning IJCAI 2025 Overcoming Heterogeneous Data in Federated Medical Vision-Language Pre-training: A Triple-Embedding Model Selector Approach AAAI 2025 PA3Fed: Period-Aware Adaptive Aggregation for Improved Federated Learning AAAI 2025 Paid with Models: Optimal Contract Design for Collaborative Machine Learning AAAI 2025 Patient-Level Anatomy Meets Scanning-Level Physics: Personalized Federated Low-Dose CT Denoising Empowered by Large Language Model CVPR 2025 Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach IJCAI 2025 Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach AAAI 2025 Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach AAAI 2025 Personalized Federated Learning under Local Supervision ICCV 2025 Personalized Label Inference Attack in Federated Transfer Learning via Contrastive Meta Learning AAAI 2025