Deep Learning

FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update AAAI 2024 FedCD: Federated Semi-Supervised Learning with Class Awareness Balance via Dual Teachers AAAI 2024 FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning AAAI 2024 FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels AAAI 2024 Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning AAAI 2024 Federated Continual Learning via Prompt-based Dual Knowledge Transfer ICML 2024 Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources NeurIPS 2024 Federated Generalized Category Discovery CVPR 2024 Federated Graph Learning for Cross-Domain Recommendation NeurIPS 2024 Federated Graph Learning under Domain Shift with Generalizable Prototypes AAAI 2024 Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks AISTATS 2024 Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method NeurIPS 2024 Federated Learning over Connected Modes NeurIPS 2024 Federated Learning under Periodic Client Participation and Heterogeneous Data: A New Communication-Efficient Algorithm and Analysis NeurIPS 2024 Federated Learning with Extremely Noisy Clients via Negative Distillation AAAI 2024 Federated Model Heterogeneous Matryoshka Representation Learning NeurIPS 2024 Federated Neuro-Symbolic Learning ICML 2024 Federated Online Adaptation for Deep Stereo CVPR 2024 Federated Prompt Learning for Weather Foundation Models on Devices IJCAI 2024 Federated Recommendation with Additive Personalization ICLR 2024 Federated Representation Learning in the Under-Parameterized Regime ICML 2024 Federated Self-Explaining GNNs with Anti-shortcut Augmentations ICML 2024 Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data NeurIPS 2024 FedFDD: Federated Learning with Frequency Domain Decomposition for Low-Dose CT Denoising MIDL 2024 FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning NeurIPS 2024