Federated Learning

FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing AAAI 2024 FedMef: Towards Memory-efficient Federated Dynamic Pruning CVPR 2024 FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection NeurIPS 2024 FedMut: Generalized Federated Learning via Stochastic Mutation AAAI 2024 FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning AAAI 2024 FedPFT: Federated Proxy Fine-Tuning of Foundation Models IJCAI 2024 Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity AAAI 2024 FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning CVPR 2024 FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning IJCAI 2024 FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference NeurIPS 2024 FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning IJCAI 2024 FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning AAAI 2024 FedUV: Uniformity and Variance for Heterogeneous Federated Learning CVPR 2024 Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity NeurIPS 2024 Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models EMNLP 2024 (FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning NeurIPS 2024 FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations NeurIPS 2024 Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective AAAI 2024 Formal Logic Enabled Personalized Federated Learning through Property Inference AAAI 2024 Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning NeurIPS 2024 From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching IJCAI 2024 FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion NeurIPS 2024 Gradient Coreset for Federated Learning WACV 2024 HEPrune: Fast Private Training of Deep Neural Networks With Encrypted Data Pruning NeurIPS 2024 Heterogeneity-aware Clustered Distributed Learning for Multi-source Data Analysis JMLR 2024