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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