Privacy

Fast and Differentially Private Fair Clustering IJCAI 2023 Faster approximate subgraph counts with privacy NeurIPS 2023 Faster Differentially Private Convex Optimization via Second-Order Methods NeurIPS 2023 Faster Rates of Convergence to Stationary Points in Differentially Private Optimization ICML 2023 Fast Federated Machine Unlearning with Nonlinear Functional Theory ICML 2023 Fast Heterogeneous Federated Learning with Hybrid Client Selection UAI 2023 Fast Optimal Locally Private Mean Estimation via Random Projections NeurIPS 2023 Fast Private Kernel Density Estimation via Locality Sensitive Quantization ICML 2023 Fast, Sample-Efficient, Affine-Invariant Private Mean and Covariance Estimation for Subgaussian Distributions COLT 2023 FedBFPT: An Efficient Federated Learning Framework for Bert Further Pre-training IJCAI 2023 FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization ICML 2023 Federated Learning for Secure Development of AI Models for Parkinson’s Disease Detection Using Speech from Different Languages Interspeech 2023 Federated Learning from Small Datasets ICLR 2023 Federated Learning of Gboard Language Models with Differential Privacy ACL 2023 Federated Learning Toolkit with Voice-based User Verification Demo Interspeech 2023 Federated Linear Contextual Bandits with User-level Differential Privacy ICML 2023 Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation IJCAI 2023 Fed-FA: Theoretically Modeling Client Data Divergence for Federated Language Backdoor Defense NeurIPS 2023 FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks IJCAI 2023 FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation IJCAI 2023 FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models ACL 2023 FedSampling: A Better Sampling Strategy for Federated Learning IJCAI 2023 FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy ICLR 2023 FedTherapist: Mental Health Monitoring with User-Generated Linguistic Expressions on Smartphones via Federated Learning EMNLP 2023 FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models ICML 2023