Application Areas

Federated Domain Generalization With Generalization Adjustment CVPR 2023 Federated Generative Model on Multi-Source Heterogeneous Data in IoT AAAI 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 of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization EMNLP 2023 Federated Learning on Non-IID Graphs via Structural Knowledge Sharing AAAI 2023 Federated Learning Toolkit with Voice-based User Verification Demo Interspeech 2023 Federated Learning with Manifold Regularization and Normalized Update Reaggregation NeurIPS 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 FedFA: Federated Feature Augmentation ICLR 2023 Fed-FA: Theoretically Modeling Client Data Divergence for Federated Language Backdoor Defense NeurIPS 2023 FedFed: Feature Distillation against Data Heterogeneity in Federated Learning NeurIPS 2023 FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks IJCAI 2023 FedID: Federated Interactive Distillation for Large-Scale Pretraining Language Models EMNLP 2023 FedLab: A Flexible Federated Learning Framework JMLR 2023 FedMDFG: Federated Learning with Multi-Gradient Descent and Fair Guidance AAAI 2023 FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning IJCAI 2023 FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation IJCAI 2023 FedPD: Federated Open Set Recognition with Parameter Disentanglement ICCV 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