Learning Paradigms

FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained Models in Few-Shot Learning NeurIPS 2023 Feature Distribution Fitting with Direction-Driven Weighting for Few-Shot Images Classification AAAI 2023 Feature Normalization and Cartography-Based Demonstrations for Prompt-Based Fine-Tuning on Emotion-Related Tasks AAAI 2023 FedABC: Targeting Fair Competition in Personalized Federated Learning AAAI 2023 FedALA: Adaptive Local Aggregation for Personalized Federated Learning AAAI 2023 FedBFPT: An Efficient Federated Learning Framework for Bert Further Pre-training IJCAI 2023 FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction ICML 2023 Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction ICML 2023 Fed-CO$_{2}$: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning NeurIPS 2023 FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization ICML 2023 FedDisco: Federated Learning with Discrepancy-Aware Collaboration ICML 2023 FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment IJCAI 2023 Federated Adversarial Learning: A Framework with Convergence Analysis ICML 2023 Federated Asymptotics: a model to compare federated learning algorithms AISTATS 2023 Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms AISTATS 2023 Federated Compositional Deep AUC Maximization NeurIPS 2023 Federated Conditional Stochastic Optimization NeurIPS 2023 Federated Conformal Predictors for Distributed Uncertainty Quantification ICML 2023 Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets ACL 2023 Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer WACV 2023 Federated Domain Generalization With Generalization Adjustment CVPR 2023 Federated Generative Model on Multi-Source Heterogeneous Data in IoT AAAI 2023 Federated Graph Semantic and Structural Learning IJCAI 2023 Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach ICLR 2023 Federated Learning for Commercial Image Sources WACV 2023