Learning Paradigms

DynaFed: Tackling Client Data Heterogeneity With Global Dynamics CVPR 2023 Dynamic Offset Metric on Heterogeneous Information Networks for Cold-start Recommendation ACML 2023 Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape ICML 2023 Easy Begun Is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout AAAI 2023 Easy-to-Hard Learning for Information Extraction ACL 2023 Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model AAAI 2023 Effective Structured Prompting by Meta-Learning and Representative Verbalizer ICML 2023 Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout AISTATS 2023 Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces AAAI 2023 Efficient Gradient Approximation Method for Constrained Bilevel Optimization AAAI 2023 Efficient On-Device Training via Gradient Filtering CVPR 2023 EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones ICCV 2023 Efficient Unified Demosaicing for Bayer and Non-Bayer Patterned Image Sensors ICCV 2023 Elastic Aggregation for Federated Optimization CVPR 2023 Empirical Study of Federated Unlearning: Efficiency and Effectiveness ACML 2023 Enhanced Meta Label Correction for Coping with Label Corruption ICCV 2023 Enhancing Privacy Preservation in Federated Learning via Learning Rate Perturbation ICCV 2023 Estimating Large Language Model Capabilities without Labeled Test Data EMNLP 2023 Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction NeurIPS 2023 Evidential Conditional Neural Processes AAAI 2023 Fair Federated Medical Image Segmentation via Client Contribution Estimation CVPR 2023 Fair yet Asymptotically Equal Collaborative Learning ICML 2023 Fast and Efficient Multilingual Self-Supervised Pre-training for Low-Resource Speech Recognition Interspeech 2023 Faster Adaptive Federated Learning AAAI 2023 FedABC: Targeting Fair Competition in Personalized Federated Learning AAAI 2023