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Federated Learning

1,560 papers

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Papers

IBA: Towards Irreversible Backdoor Attacks in Federated Learning NeurIPS 2023 Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates NeurIPS 2023 Improving the Model Consistency of Decentralized Federated Learning ICML 2023 Incentive-Boosted Federated Crowdsourcing AAAI 2023 Incentives in Federated Learning: Equilibria, Dynamics, and Mechanisms for Welfare Maximization NeurIPS 2023 Incentivizing Honesty among Competitors in Collaborative Learning and Optimization NeurIPS 2023 Industry-Scale Orchestrated Federated Learning for Drug Discovery AAAI 2023 Inner Product-based Neural Network Similarity NeurIPS 2023 Instance-wise Batch Label Restoration via Gradients in Federated Learning ICLR 2023 Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning NeurIPS 2023 Knowledge-Aware Federated Active Learning with Non-IID Data ICCV 2023 L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning ICCV 2023 LeadFL: Client Self-Defense against Model Poisoning in Federated Learning ICML 2023 Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning WACV 2023 Learning Federated Visual Prompt in Null Space for MRI Reconstruction CVPR 2023 Learning To Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning UAI 2023 Lifelong bandit optimization: no prior and no regret UAI 2023 Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels ICCV 2023 Machine Unlearning of Federated Clusters ICLR 2023 Make Landscape Flatter in Differentially Private Federated Learning CVPR 2023 MAS: Towards Resource-Efficient Federated Multiple-Task Learning ICCV 2023 Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning JMLR 2023 Meta Knowledge Condensation for Federated Learning ICLR 2023 MGIA: Mutual Gradient Inversion Attack in Multi-Modal Federated Learning (Student Abstract) AAAI 2023 Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training? JMLR 2023