federated learning

FedOne: Query-Efficient Federated Learning for Black-box Discrete Prompt Learning ICML 2025 FedPall: Prototype-based Adversarial and Collaborative Learning for Federated Learning with Feature Drift ICCV 2025 FedPHA: Federated Prompt Learning for Heterogeneous Client Adaptation ICML 2025 FedPIA – Permuting and Integrating Adapters Leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning AAAI 2025 FedPop: Federated Population-based Hyperparameter Tuning AAAI 2025 FED-PsyAU: Privacy-Preserving Micro-Expression Recognition via Psychological AU Coordination and Dynamic Facial Motion Modeling ICCV 2025 FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning AAAI 2025 FedSMU: Communication-Efficient and Generalization-Enhanced Federated Learning through Symbolic Model Updates ICML 2025 FedSum: Data-Efficient Federated Learning Under Data Scarcity Scenario for Text Summarization AAAI 2025 FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis AAAI 2025 FedVLA: Federated Vision-Language-Action Learning with Dual Gating Mixture-of-Experts for Robotic Manipulation ICCV 2025 FedWSQ: Efficient Federated Learning with Weight Standardization and Distribution-Aware Non-Uniform Quantization ICCV 2025 FedXDS: Leveraging Model Attribution Methods to counteract Data Heterogeneity in Federated Learning ICCV 2025 Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models ICML 2025 Find a Scapegoat: Poisoning Membership Inference Attack and Defense to Federated Learning ICCV 2025 Finite-Time Analysis of Heterogeneous Federated Temporal Difference Learning IJCAI 2025 First-Order Federated Bilevel Learning AAAI 2025 FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition IJCAI 2025 FIVA: Federated Inverse Variance Averaging for Universal CT Segmentation with Uncertainty Estimation MLHC 2025 FLSeg: Enhancing Privacy and Robustness in Federated Learning under Heterogeneous Data via Model Segmentation ICCV 2025 Fortifying Federated Learning Towards Trustworthiness via Auditable Data Valuation and Verifiable Client Contribution CVPR 2025 FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging EMNLP 2025 From Laboratory to Real World: A New Benchmark Towards Privacy-Preserved Visible-Infrared Person Re-Identification CVPR 2025 GAS: Generative Activation-Aided Asynchronous Split Federated Learning AAAI 2025 Geminio: Language-Guided Gradient Inversion Attacks in Federated Learning ICCV 2025