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Federated Learning

1,560 papers

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Papers

Re-Thinking Federated Active Learning Based on Inter-Class Diversity CVPR 2023 Rethinking Federated Learning With Domain Shift: A Prototype View CVPR 2023 Revisiting Weighted Aggregation in Federated Learning with Neural Networks ICML 2023 Robust Heterogeneous Federated Learning under Data Corruption ICCV 2023 SALAD: Source-Free Active Label-Agnostic Domain Adaptation for Classification, Segmentation and Detection WACV 2023 SAMBA: A Generic Framework for Secure Federated Multi-Armed Bandits (Extended Abstract) IJCAI 2023 ScaleFL: Resource-Adaptive Federated Learning With Heterogeneous Clients CVPR 2023 Secure Federated Correlation Test and Entropy Estimation ICML 2023 Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning AAAI 2023 Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning ICLR 2023 SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning NeurIPS 2023 Single-shot General Hyper-parameter Optimization for Federated Learning ICLR 2023 Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability ICML 2023 SPACE: Single-round Participant Amalgamation for Contribution Evaluation in Federated Learning NeurIPS 2023 Sparse Random Networks for Communication-Efficient Federated Learning ICLR 2023 Spectral Co-Distillation for Personalized Federated Learning NeurIPS 2023 SRATTA: Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning. ICML 2023 StableFDG: Style and Attention Based Learning for Federated Domain Generalization NeurIPS 2023 STDLens: Model Hijacking-Resilient Federated Learning for Object Detection CVPR 2023 Structured Cooperative Learning with Graphical Model Priors ICML 2023 Structured Federated Learning through Clustered Additive Modeling NeurIPS 2023 Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning ICML 2023 SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication ICLR 2023 TabLeak: Tabular Data Leakage in Federated Learning ICML 2023 Tackling Data Heterogeneity in Federated Learning with Class Prototypes AAAI 2023