Learning Paradigms

Federated Multi-Objective Learning NeurIPS 2023 Federated Nearest Neighbor Machine Translation ICLR 2023 Federated Online and Bandit Convex Optimization ICML 2023 FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer IJCAI 2023 FedFA: Federated Feature Augmentation ICLR 2023 FedGS: Federated Graph-Based Sampling with Arbitrary Client Availability AAAI 2023 FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks IJCAI 2023 FedLab: A Flexible Federated Learning Framework JMLR 2023 FedMDFG: Federated Learning with Multi-Gradient Descent and Fair Guidance AAAI 2023 FedNP: Towards Non-IID Federated Learning via Federated Neural Propagation AAAI 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 FedSeg: Class-Heterogeneous Federated Learning for Semantic Segmentation CVPR 2023 FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models ICML 2023 Few-shot Low-resource Knowledge Graph Completion with Reinforced Task Generation ACL 2023 Few-Shot Video Classification via Representation Fusion and Promotion Learning ICCV 2023 Finding Support Examples for In-Context Learning EMNLP 2023 Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity AISTATS 2023 Flash: Concept Drift Adaptation in Federated Learning ICML 2023 FLASH: Towards a High-performance Hardware Acceleration Architecture for Cross-silo Federated Learning NSDI 2023 Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment AAAI 2023 From Simple to Complex: A Progressive Framework for Document-level Informative Argument Extraction EMNLP 2023 FSAR: Federated Skeleton-based Action Recognition with Adaptive Topology Structure and Knowledge Distillation ICCV 2023 Generalizable Implicit Neural Representations via Instance Pattern Composers CVPR 2023