federated learning

Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learning IJCAI 2025 Learning Together Securely: Prototype-Based Federated Multi-Modal Hashing for Safe and Efficient Multi-Modal Retrieval AAAI 2025 LiD-FL: Towards List-Decodable Federated Learning AAAI 2025 Little Is Enough: Boosting Privacy by Sharing Only Hard Labels in Federated Semi-Supervised Learning AAAI 2025 LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning AAAI 2025 Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning AAAI 2025 LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinement ICCV 2025 Many-Objective Multi-Solution Transport ICLR 2025 Mega-CE$^2$ : A Multimodal Heterogeneous Aggregation Framework for End-Edge-Cloud Computing ACML 2025 MFL-Owner: Ownership Protection for Multi-modal Federated Learning via Orthogonal Transform Watermark AAAI 2025 Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack ICCV 2025 Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch CVPR 2025 Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models ICLR 2025 Mjölnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion AAAI 2025 MLLM-LLaVA-FL: Multimodal Large Language Model Assisted Federated Learning WACV 2025 MMGIA: Gradient Inversion Attack Against Multimodal Federated Learning via Intermodal Correlation IJCAI 2025 MobileA3gent: Training Mobile GUI Agents Using Decentralized Self-Sourced Data from Diverse Users EMNLP 2025 Modeling Inter-Intra Heterogeneity for Graph Federated Learning AAAI 2025 Model Poisoning Attacks to Federated Learning via Multi-Round Consistency CVPR 2025 Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach AAAI 2025 Multilingual Federated Low-Rank Adaptation for Collaborative Content Anomaly Detection across Multilingual Social Media Participants EMNLP 2025 Multimodal Fusion Using Multi-View Domains for Data Heterogeneity in Federated Learning AAAI 2025 Navigating Heterogeneity and Privacy in One-Shot Federated Learning with Diffusion Models WACV 2025 Near-Optimal Regret Bounds for Federated Multi-armed Bandits with Fully Distributed Communication UAI 2025 NoT: Federated Unlearning via Weight Negation CVPR 2025