federated learning

FedSDA: Federated Stain Distribution Alignment for Non-IID Histopathological Image Classification AAAI 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 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 First-Order Softmax Weighted Switching Gradient Method for Distributed Stochastic Minimax Optimization with Stochastic Constraints UAI 2026 Gaussian Approximation and Multiplier Bootstrap for Federated Linear Stochastic Approximation UAI 2026 GDFA: Geometry-Driven Federated Unlearning with Directional Task Vector Alignment 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 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 Good Gradients Poison Your Model: Evading Defenses in Federated Learning via Boundary-adaptive Perturbation AAAI 2026 Guided Model Merging for Hybrid Data Learning: Leveraging Centralized Data to Refine Decentralized Models WACV 2026 HEART-PFL: Stable Personalized Federated Learning under Heterogeneity with Hierarchical Directional Alignment and Adversarial Knowledge Transfer WACV 2026 HiLoRA: Hierarchical Low-Rank Adaptation for Personalized Federated Learning CVPR 2026 Horizontal and Vertical Federated Causal Structure Learning via Higher-order Cumulants AAAI 2026 Incomplete Multi-View Unsupervised Federated Feature Selection via Cooperative Particle Swarm Optimization and Tensor-Aligned Learning AAAI 2026 Inter-Client Dependency Recovery with Hidden Global Components for Federated Traffic Prediction AAAI 2026 Intra-Class Unbiased Prototype Aggregation and Classifier Collaboration for Personalized Federated Learning AAAI 2026 Investigating Social Bias Propagation in Federated Fine-tuning of Large Language Models AAAI 2026 Learning to Collaborate: An Orchestrated-Decentralized Framework for Peer-to-Peer LLM Federation AAAI 2026 LSHFed: Robust and Communication-Efficient Federated Learning with Locally-Sensitive Hashing Gradient Mapping AAAI 2026 Marshaled Learning: Bridging Large Neural Networks with Memory-Constrained Trusted Execution Environments in Federated Learning WACV 2026 MartDE: A Privacy-Preserving and Cost-Efficient Evaluation Framework for Data Marketplaces AAAI 2026