federated learning

Diffusion-Based Active Learning for Distributed Client Manifolds AAAI 2025 Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis JMLR 2025 DR-Encoder: Encode Low-rank Gradients with Random Prior for Large Language Models Differentially Privately AAAI 2025 Dual-calibrated Co-training Framework for Personalized Federated Semi-Supervised Medical Image Segmentation AAAI 2025 DualGFL: Federated Learning with a Dual-Level Coalition-Auction Game AAAI 2025 EcoLoRA: Communication-Efficient Federated Fine-Tuning of Large Language Models EMNLP 2025 Efficient Federated Incomplete Multi-View Clustering ICML 2025 Efficient Federated Learning via Clients-to-Server Knowledge Distillation (Student Abstract) AAAI 2025 EFSkip: A New Error Feedback with Linear Speedup for Compressed Federated Learning with Arbitrary Data Heterogeneity AAAI 2025 EFTViT: Efficient Federated Training of Vision Transformers with Masked Images on Resource-Constrained Clients ICCV 2025 Enhancing Clustered Federated Learning: Integration of Strategies and Improved Methodologies ICLR 2025 Enhancing Foundation Models with Federated Domain Knowledge Infusion ICML 2025 Enhancing Model Privacy in Federated Learning with Random Masking and Quantization EMNLP 2025 Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy AAAI 2025 Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated Learning IJCAI 2025 Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning AAAI 2025 Exploiting Label Skewness for Spiking Neural Networks in Federated Learning IJCAI 2025 Exploring Vacant Classes in Label-Skewed Federated Learning AAAI 2025 F^3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics CVPR 2025 FALCON: Adaptive Cross-Domain APT Attack Investigation with Federated Causal Learning UAI 2025 FAST: A Lightweight Mechanism Unleashing Arbitrary Client Participation in Federated Learning IJCAI 2025 FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning AAAI 2025 FDPT: Federated Discrete Prompt Tuning for Black-Box Visual-Language Models ICCV 2025 FDR-SVM: A Federated Distributionally Robust Support Vector Machine via a Mixture of Wasserstein Balls Ambiguity Set UAI 2025 Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities WACV 2025