federated learning

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 OmniFM: Toward Modality-Robust and Task-Agnostic Federated Learning for Heterogeneous Medical Imaging CVPR 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 OS-Fed: One Snapshot Is All You Need CVPR 2026 OursFed: Provable Group Fairness-Aware Federated Learning Against Distrust and Fragility AAAI 2026 Personalized Federated Graph-Level Clustering Network AAAI 2026 Personalized Federated Learning with Bidirectional Communication Compression via One-Bit Random Sketching AAAI 2026 Personalized Federated Training of Diffusion Models with Privacy Guarantees CVPR 2026 Personalized Image Privacy Advisors via Federated Daisy-Chaining WACV 2026 Personalized Longitudinal Medical Report Generation via Temporally-Aware Federated Adaptation CVPR 2026 Plug-and-Play Parameter-Efficient Tuning of Embeddings for Federated Recommendation AAAI 2026 Poisoning with a Pill: Circumventing Detection in Federated Learning AAAI 2026 Pose-guided Enriched Feature Learning for Federated-by-camera Person Re-identification CVPR 2026 Probabilistic Feature Imputation and Uncertainty-Aware Multimodal Federated Aggregation MIDL 2026 ProxyFL: A Proxy-Guided Framework for Federated Semi-Supervised Learning CVPR 2026 RB-LoRA: Rank-Balanced Aggregation for Low-Rank Adaptation with Federated Fine-Tuning EACL 2026 Resilience in Ambient Multi-Agent LLMs via Decentralized Bio-Autonomic Control and Immune-Inspired Anomaly Detection AAAI 2026 Ripple Shapley: Data Influence Attribution in One Federated Training Run AAAI 2026 Safe-FedLLM: Delving into the Safety of Federated Large Language Models ACL 2026 Scaling Law Analysis in Federated Learning: How to Select the Optimal Model Size? AAAI 2026 SD-CSFL: A Synthetic Data-Driven Conformity Scoring Framework for Robust Federated Learning WACV 2026 SecureGate: Learning When to Reveal PII Safely via Token-Gated Dual-Adapters for Federated LLMs ACL 2026