federated learning

Communication-Efficient Federated Learning with Accelerated Client Gradient CVPR 2024 Communication-Efficient Federated Learning With Data and Client Heterogeneity AISTATS 2024 Communication-Efficient Federated Non-Linear Bandit Optimization ICLR 2024 Communication-Efficient Gradient Descent-Accent Methods for Distributed Variational Inequalities: Unified Analysis and Local Updates ICLR 2024 Compressed and distributed least-squares regression: convergence rates with applications to federated learning JMLR 2024 Compression with Exact Error Distribution for Federated Learning AISTATS 2024 Concealing Sensitive Samples against Gradient Leakage in Federated Learning AAAI 2024 Confusion-Resistant Federated Learning via Diffusion-Based Data Harmonization on Non-IID Data NeurIPS 2024 Convergence Analysis of Split Federated Learning on Heterogeneous Data NeurIPS 2024 Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging NeurIPS 2024 Countering the Communication Bottleneck in Federated Learning: A Highly Efficient Zero-Order Optimization Technique JMLR 2024 DAGER: Exact Gradient Inversion for Large Language Models NeurIPS 2024 DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices NeurIPS 2024 DarkFed: A Data-Free Backdoor Attack in Federated Learning IJCAI 2024 Data Disparity and Temporal Unavailability Aware Asynchronous Federated Learning for Predictive Maintenance on Transportation Fleets AAAI 2024 DataStealing: Steal Data from Diffusion Models in Federated Learning with Multiple Trojans NeurIPS 2024 Data Valuation and Detections in Federated Learning CVPR 2024 Decentralized Directed Collaboration for Personalized Federated Learning CVPR 2024 Demystifying Local & Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition ICLR 2024 DeRDaVa: Deletion-Robust Data Valuation for Machine Learning AAAI 2024 Device-Wise Federated Network Pruning CVPR 2024 DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models CVPR 2024 DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning CVPR 2024 Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks IJCAI 2024 Distance-Aware Non-IID Federated Learning for Generalization and Personalization in Medical Imaging Segmentation MIDL 2024