Federated Learning

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 Multi-Modal Style Transfer-based Prompt Tuning for Efficient Federated Domain Generalization 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 One-Shot Federated Learning based on Random Feature Extractor UAI 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 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 Taming Noise-Induced Prototype Degradation for Privacy-Preserving Personalized Federated Fine-Tuning CVPR 2026 Valid and Efficient Uncertainty Quantification for Federated Joint Shift UAI 2026 Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback JMLR 2025 Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos JMLR 2025 ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning AISTATS 2025 A Federated Framework for LLM-based Recommendation NAACL 2025 AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models CVPR 2025 A High-Efficiency Federated Learning Method Using Complementary Pruning for D2D Communication (Student Abstract) AAAI 2025 AI-Driven Personalized Fall Prevention for Older Adults AAAI 2025 A Multi-Granularity Clustering Approach for Federated Backdoor Defense with the Adam Optimizer IJCAI 2025 An Efficient and Accurate Dynamic Sparse Training Framework Based on Parameter-Freezing AAAI 2025 An Empirical Study of Federated Prompt Learning for Vision Language Model IJCAI 2025 A New Federated Learning Framework Against Gradient Inversion Attacks AAAI 2025