Machine Learning

FedCD: Towards Consolidated Distillation for Heterogeneous Federated Learning AAAI 2026 FedCure: Mitigating Participation Bias in Semi-Asynchronous Federated Learning with Non-IID Data AAAI 2026 FedDAP: Domain-Aware Prototype Learning for Federated Learning under Domain Shift CVPR 2026 FedEFC: Federated Learning Using Enhanced Forward Correction Against Noisy Labels WACV 2026 Federated Active Learning Under Extreme Non-IID and Global Class Imbalance CVPR 2026 Federated Combinatorial Causal Bandits with Heterogeneous Causal Influences UAI 2026 Federated Context-Aware Personalized Recommendation AAAI 2026 Federated EndoViT: Pretraining Vision Transformers via Federated Learning on Endoscopic Image Collections MIDL 2026 Federated Graph-level Clustering Network with Attribute Inference AAAI 2026 Federated Incomplete Multi-View Clustering with Tensorized Low-Rank Constraint AAAI 2026 Federated Learning Playground AAAI 2026 Federated Linear Dueling Bandits 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 FedHarmony: Harmonizing Heterogeneous Label Correlations in Federated Multi-Label Learning CVPR 2026 FedLAGC: Towards High Performance System-Heterogeneous Federated Learning via Layer-Adaptive Submodel Extraction and Gradient Correction AAAI 2026 FedMerge: Federated Model Merging for Personalization AAAI 2026 FedMPT: Federated Multi-Label Prompt Tuning of Vision-Language Models CVPR 2026 FedP²EFT: Federated Learning to Personalize PEFT for Multilingual LLMs AAAI 2026 FedPAGR: Federated Prototype Alignment via Geometric Refinement for Heterogeneous Architectures ACL 2026 FedPKDA: Personalized Federated Learning with Privacy-Preserving Knowledge Dynamic Alignment AAAI 2026 FedPM: Federated Learning Using Second-order Optimization with Preconditioned Mixing of Local Parameters AAAI 2026 FedReFT: Federated Representation Fine-Tuning with All-But-Me Aggregation EACL 2026 FedRG: Unleashing the Representation Geometry for Federated Learning with Noisy Clients CVPR 2026