Federated Learning

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 of models pre-trained on different features with consensus graphs UAI 2023 Federated Learning on Non-IID Graphs via Structural Knowledge Sharing AAAI 2023 Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat ICCV 2023 Federated Learning Toolkit with Voice-based User Verification Demo Interspeech 2023 Federated Learning under Distributed Concept Drift AISTATS 2023 Federated Learning via Meta-Variational Dropout NeurIPS 2023 Federated Learning with Bilateral Curation for Partially Class-Disjoint Data NeurIPS 2023 Federated Learning with Client Subsampling, Data Heterogeneity, and Unbounded Smoothness: A New Algorithm and Lower Bounds NeurIPS 2023 Federated Learning With Data-Agnostic Distribution Fusion CVPR 2023 Federated Learning with Manifold Regularization and Normalized Update Reaggregation NeurIPS 2023 Federated Learning with Uncertainty via Distilled Predictive Distributions ACML 2023 Federated Linear Bandits with Finite Adversarial Actions NeurIPS 2023 Federated Linear Contextual Bandits with User-level Differential Privacy ICML 2023 Federated Multi-Objective Learning NeurIPS 2023 Federated Neural Bandits ICLR 2023 Federated Online and Bandit Convex Optimization ICML 2023 Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation IJCAI 2023 Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning AAAI 2023 Federated Spectral Clustering via Secure Similarity Reconstruction NeurIPS 2023 FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer IJCAI 2023 FedExP: Speeding Up Federated Averaging via Extrapolation 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