Federated Learning

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 HealSplit: Towards Self-Healing Through Adversarial Distillation in Split Federated Learning AAAI 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 Imprint of the Forgotten: Stealthy Membership Inference in Unlearned Graph Neural Networks 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 Systems Expansion with Efficient Heterogeneity-aware Knowledge Transfer 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 MSCFL: Model Structure-Aware Clustered Federated Learning for System Heterogeneity and Data Drift AAAI 2026 MultiKD: Backdoor Defense in Federated Graph Learning via Attention-Guided Multi-Teacher Distillation AAAI 2026 Neuro-Symbolic Federated Learning over Heterogeneous Data-Views: A Structured Approach to Distributive EHR Modelling AAAI 2026 Oblivionis: A Lightweight Learning and Unlearning Framework for Federated Large Language Models AAAI 2026 Optimal Look-back Horizon for Time Series Forecasting in Federated Learning AAAI 2026 OPTION: An Online Pricing Strategy for Asynchronous Federated Learning Against Free-Riding Attacks AAAI 2026 ORVIT: Near-Optimal Online Distributionally Robust Reinforcement Learning AAAI 2026 OursFed: Provable Group Fairness-Aware Federated Learning Against Distrust and Fragility AAAI 2026 PAGE: A Unified Approach for Federated Graph Unlearning AAAI 2026