Deep Learning

FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descent ICLR 2024 FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models EMNLP 2024 FedLF: Adaptive Logit Adjustment and Feature Optimization in Federated Long-Tailed Learning ACML 2024 FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees ICML 2024 FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation NeurIPS 2024 FedLTF: Linear Probing Teaches Fine-tuning to Mitigate Noisy Labels in Federated Learning ACML 2024 FedMBridge: Bridgeable Multimodal Federated Learning ICML 2024 FedMef: Towards Memory-efficient Federated Dynamic Pruning CVPR 2024 FedPFT: Federated Proxy Fine-Tuning of Foundation Models IJCAI 2024 FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data ICML 2024 FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning CVPR 2024 FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference NeurIPS 2024 FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning AAAI 2024 FedTSA: A Cluster-based Two-Stage Aggregation Method for Model-heterogeneous Federated Learning ECCV 2024 FedWon: Triumphing Multi-domain Federated Learning Without Normalization ICLR 2024 Feedback control guides credit assignment in recurrent neural networks NeurIPS 2024 Feedback Efficient Online Fine-Tuning of Diffusion Models ICML 2024 FEEL-SNN: Robust Spiking Neural Networks with Frequency Encoding and Evolutionary Leak Factor NeurIPS 2024 FELGA: Unsupervised Fragment Embedding for Fine-Grained Cross-Modal Association WACV 2024 Feriji: A French-Zarma Parallel Corpus, Glossary & Translator ACL 2024 Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity NeurIPS 2024 FESSNC: Fast Exponentially Stable and Safe Neural Controller ICML 2024 Fewer is More: Boosting Math Reasoning with Reinforced Context Pruning EMNLP 2024 Fewer Steps, Better Performance: Efficient Cross-Modal Clip Trimming for Video Moment Retrieval Using Language AAAI 2024 Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings ICML 2024