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federated learning

1,643 papers

FL

Papers

Federated Learning with Extremely Noisy Clients via Negative Distillation AAAI 2024 Federated Linear Contextual Bandits with Heterogeneous Clients AISTATS 2024 Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation AAAI 2024 Federated Model Heterogeneous Matryoshka Representation Learning NeurIPS 2024 Federated Multi-View Clustering via Tensor Factorization IJCAI 2024 Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning NeurIPS 2024 Federated Neuro-Symbolic Learning ICML 2024 Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices ICML 2024 Federated Online Adaptation for Deep Stereo CVPR 2024 Federated Online Prediction from Experts with Differential Privacy: Separations and Regret Speed-ups NeurIPS 2024 Federated Optimization with Doubly Regularized Drift Correction ICML 2024 Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning ICLR 2024 Federated Partial Label Learning with Local-Adaptive Augmentation and Regularization AAAI 2024 Federated Prompt Learning for Weather Foundation Models on Devices IJCAI 2024 Federated Recommendation with Additive Personalization ICLR 2024 Federated Self-Explaining GNNs with Anti-shortcut Augmentations ICML 2024 Federated Text-driven Prompt Generation for Vision-Language Models ICLR 2024 Federated Wasserstein Distance ICLR 2024 Federated X-armed Bandit AAAI 2024 FedES: Federated Early-Stopping for Hindering Memorizing Heterogeneous Label Noise IJCAI 2024 FedFa: A Fully Asynchronous Training Paradigm for Federated Learning IJCAI 2024 FedFDD: Federated Learning with Frequency Domain Decomposition for Low-Dose CT Denoising MIDL 2024 FedFisher: Leveraging Fisher Information for One-Shot Federated Learning AISTATS 2024 FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning AAAI 2024 FedGCR: Achieving Performance and Fairness for Federated Learning with Distinct Client Types via Group Customization and Reweighting AAAI 2024