Federated Learning
1,560 papers
Papers per year
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20
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Papers
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 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
Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top
ICLR 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
Workie-Talkie: Accelerating Federated Learning by Overlapping Computing and Communications via Contrastive Regularization
ICCV 2023