Artificial Intelligence

FedMOP: Achieving Enhanced Privacy and Performance in Federated Learning via Momentum Orthogonal Projection CVPR 2026 FedMPT: Federated Multi-Label Prompt Tuning of Vision-Language Models 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 FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion ACL 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 FedSST: Rethinking Fair Federated Graph Learning under Structural Shift CVPR 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 Feeling Right vs. Being Right: How AI Sycophancy Affects Value-Laden Deliberation ACL 2026 Feeling Rules in Language Models: Mapping Norms of Emotional Appropriateness Across Roles, Institutions, and Intensity ACL 2026 FeTS: A Feature-Aware Framework for Time Series Forecasting AAAI 2026 Few-Shot Hybrid Incremental Learning:Continually Learning under Data Scarcity and Task Uncertainty CVPR 2026 Few-Step Diffusion Sampling Through Instance-Aware Discretizations CVPR 2026 FFE-Hallu: Hallucinations in Fixed Figurative Expressions: A Benchmark of Idioms and Proverbs in the Persian Language EACL 2026