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Federated Learning

551 directly classified papers

Papers per year

Papers

FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning NIPS 2024
Federated Learning for Commercial Image Sources WACV 2023
Federated Linear Contextual Bandits with User-level Differential Privacy ICML 2023
One-Shot Federated Conformal Prediction ICML 2023
FSAR: Federated Skeleton-based Action Recognition with Adaptive Topology Structure and Knowledge Distillation ICCV 2023
Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation ICML 2023
Re-Thinking Federated Active Learning Based on Inter-Class Diversity CVPR 2023
How To Prevent the Poor Performance Clients for Personalized Federated Learning? CVPR 2023
MAS: Towards Resource-Efficient Federated Multiple-Task Learning ICCV 2023
When Do Curricula Work in Federated Learning? ICCV 2023
Multi-Metrics Adaptively Identifies Backdoors in Federated Learning ICCV 2023
Knowledge-Aware Federated Active Learning with Non-IID Data ICCV 2023
Personalized Federated Learning under Mixture of Distributions ICML 2023
Anchor Sampling for Federated Learning with Partial Client Participation ICML 2023
TabLeak: Tabular Data Leakage in Federated Learning ICML 2023
FLASH: Towards a High-performance Hardware Acceleration Architecture for Cross-silo Federated Learning NSDI 2023
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability ICML 2023
Wyze Rule: Federated Rule Dataset for Rule Recommendation Benchmarking NIPS 2023
Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels ICCV 2023
Reducing Training Time in Cross-Silo Federated Learning Using Multigraph Topology ICCV 2023
Distributed Sparse Regression via Penalization JMLR 2023
Federated Cross Learning for Medical Image Segmentation MIDL 2023
FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks ICML 2023
A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning NIPS 2023
Bias-Eliminating Augmentation Learning for Debiased Federated Learning CVPR 2023