federated learning

FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization IJCAI 2024 FedGMKD: An Efficient Prototype Federated Learning Framework through Knowledge Distillation and Discrepancy-Aware Aggregation NeurIPS 2024 FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning NeurIPS 2024 FedHCA2: Towards Hetero-Client Federated Multi-Task Learning CVPR 2024 FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descent ICLR 2024 FedImpro: Measuring and Improving Client Update in Federated Learning ICLR 2024 FedInverse: Evaluating Privacy Leakage in Federated Learning 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 FedLFC: Towards Efficient Federated Multilingual Modeling with LoRA-based Language Family Clustering NAACL 2024 FedLF: Layer-Wise Fair Federated Learning AAAI 2024 FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models NeurIPS 2024 FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data ICLR 2024 FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation NeurIPS 2024 FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing AAAI 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 FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection NeurIPS 2024 FedMut: Generalized Federated Learning via Stochastic Mutation AAAI 2024 FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction NeurIPS 2024 FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning AAAI 2024 FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity ICLR 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