federated learning

H-nobs: Achieving Certified Fairness and Robustness in Distributed Learning on Heterogeneous Datasets NeurIPS 2023 How To Prevent the Poor Performance Clients for Personalized Federated Learning? CVPR 2023 HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning IJCAI 2023 Hyperparameter Optimization through Neural Network Partitioning ICLR 2023 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 Heterogeneous Model Reuse by Density Estimation IJCAI 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 Incentivized Communication for Federated Bandits NeurIPS 2023 Incentivizing Honesty among Competitors in Collaborative Learning and Optimization NeurIPS 2023 Industry-Scale Orchestrated Federated Learning for Drug Discovery AAAI 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 Large-Scale Distributed Learning via Private On-Device LSH NeurIPS 2023 Layer-Wise Adaptive Model Aggregation for Scalable Federated Learning AAAI 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 Federated Visual Prompt in Null Space for MRI Reconstruction CVPR 2023 Learning To Generate Image Embeddings With User-Level Differential Privacy 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