Federated Learning

Divide, Conquer and Unite: Hierarchical Style-Recalibrated Prototype Alignment for Federated Medical Segmentation AAAI 2026 DoBlock: Blocking Malicious Association Propagation for Backdoor-Robust Federated Learning Under Domain Skew AAAI 2026 Efficient Federated Conformal Prediction with Group-Conditional Guarantee UAI 2026 Equilibrium-Driven Vertical Federated Learning with Selective Privacy Protection AAAI 2026 EvoFMVC: Trusted Federated Multi-View Clustering with Evolutionary Fusion AAAI 2026 Exploring Cross-Client Memorization of Training Data in Large Language Models for Federated Learning ACL 2026 Feature-Aware One-Shot Federated Learning via Hierarchical Token Sequences AAAI 2026 FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models AAAI 2026 FedAFD: Multimodal Federated Learning via Adversarial Fusion and Distillation CVPR 2026 FedALT: Federated Fine-Tuning Through Adaptive Local Training with Rest-of-World LoRA AAAI 2026 FedARA: Resource-adaptive Low-rank Personalized Federated Learning via Anchor-driven Representation Alignment on Heterogeneous Edge Devices CVPR 2026 FedAU2: Attribute Unlearning for User-Level Federated Recommender Systems with Adaptive and Robust Adversarial Training AAAI 2026 FedBRICK: Structural Bias Aware Heterogeneous Foundation Model Federated Tuning AAAI 2026 FedCD: Towards Consolidated Distillation for Heterogeneous Federated Learning AAAI 2026 FedDNA: DNA Sequence Reconstruction via Deep Evidential Learning and Personalized Federated Aggregation AAAI 2026 FedEFC: Federated Learning Using Enhanced Forward Correction Against Noisy Labels WACV 2026 Federated CLIP for Resource-Efficient Heterogeneous Medical Image Classification AAAI 2026 Federated Context-Aware Personalized Recommendation AAAI 2026 Federated Cross-Modal Style-Aware Prompt Generation (Student Abstract) AAAI 2026 Federated Graph-level Clustering Network with Attribute Inference AAAI 2026 Federated Learning Playground AAAI 2026 Federated Model Synchronization for Diagnostic Redefinition through a Novel Selective Parameter Unlearning WACV 2026 Federated Vision-Language-Recommendation with Personalized Fusion AAAI 2026 FedGRPO: Privately Optimizing Foundation Models with Group-Relative Rewards from Domain Clients AAAI 2026 FedLAGC: Towards High Performance System-Heterogeneous Federated Learning via Layer-Adaptive Submodel Extraction and Gradient Correction AAAI 2026