federated learning

Tangent Model Composition for Ensembling and Continual Fine-tuning ICCV 2023 TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation ICCV 2023 Test-Time Robust Personalization for Federated Learning ICLR 2023 The Aggregation–Heterogeneity Trade-off in Federated Learning COLT 2023 The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation ICLR 2023 The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond ICML 2023 The communication cost of security and privacy in federated frequency estimation AISTATS 2023 The Resource Problem of Using Linear Layer Leakage Attack in Federated Learning CVPR 2023 Towards Addressing Label Skews in One-Shot Federated Learning ICLR 2023 Towards Attack-tolerant Federated Learning via Critical Parameter Analysis ICCV 2023 Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning NeurIPS 2023 Towards Instance-adaptive Inference for Federated Learning ICCV 2023 Towards Personalized Federated Learning via Heterogeneous Model Reassembly NeurIPS 2023 Towards Unbiased Training in Federated Open-world Semi-supervised Learning ICML 2023 Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning ICLR 2023 Towards Understanding Ensemble Distillation in Federated Learning ICML 2023 Tunable Soft Prompts are Messengers in Federated Learning EMNLP 2023 Turning the Curse of Heterogeneity in Federated Learning into a Blessing for Out-of-Distribution Detection ICLR 2023 Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization NeurIPS 2023 Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense AAAI 2023 Vertical Federated Graph Neural Network for Recommender System ICML 2023 When Do Curricula Work in Federated Learning? ICCV 2023 Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning ICLR 2023 Whole brain radiomics for clustered federated personalization in brain tumor segmentation MIDL 2023 Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation AAAI 2023