Federated Learning

FedMental: Evaluating Federated Learning for Mental Health Detection from Social Media Data ACL 2026 FedMerge: Federated Model Merging for Personalization AAAI 2026 FedMOP: Achieving Enhanced Privacy and Performance in Federated Learning via Momentum Orthogonal Projection CVPR 2026 FedP²EFT: Federated Learning to Personalize PEFT for Multilingual LLMs AAAI 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 FedRAC: Rolling Submodel Allocation for Collaborative Fairness in Federated Learning CVPR 2026 FedRE: A Representation Entanglement Framework for Model-Heterogeneous Federated Learning CVPR 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 FedRNC: Addressing Spatio-Temporal Label Misalignment in Federated Noisy Class-Incremental Learning AAAI 2026 FedSCAl: Leveraging Server and Client Alignment for Unsupervised Federated Source-Free Domain Adaptation WACV 2026 FedSDWC: Federated Synergistic Dual-Representation Weak Causal Learning for OOD AAAI 2026 FedSEA-LLaMA: A Secure, Efficient and Adaptive Federated Splitting Framework for Large Language Models AAAI 2026 FedShard: Federated Unlearning with Efficiency Fairness and Performance Fairness AAAI 2026 FedSkeleton: Secure Multi-Party Graph Skeleton Construction for Privacy-Preserving Federated Time-Series Forecasting AAAI 2026 FedSteer: Taming Extreme Gradient Staleness in Federated Learning with Corrective Projections and Caching UAI 2026 FedTopo: Topology-Informed Representation Alignment in Federated Learning Under Non-I.I.D. Conditions AAAI 2026 FILTER: A Framework for Defending Against Backdoor Attacks in Vertical Federated Learning AAAI 2026 Fine-Tuning Impairs the Balancedness of Foundation Models in Long-tailed Personalized Federated Learning CVPR 2026 Generalizable Heterogeneity-aware Federated Feature and Basic-matrix Consistency Learning AAAI 2026 Generalized and Personalized Federated Learning with Black-Box Foundation Models via Orthogonal Transformations CVPR 2026 Generic Adversarial Attack Framework Against Graph-based Vertical Federated Learning AAAI 2026 Global Adaptive Momentum Meets Local Personalized Perturbation: Efficient Federated LLM Fine-Tuning with Zeroth-Order Gradients ACL 2026 GMFL: Efficient Global Masking for Federated LLM Fine-tuning ACL 2026