Federated Learning

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 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 FSAR: Federated Skeleton-based Action Recognition with Adaptive Topology Structure and Knowledge Distillation ICCV 2023 Global Convergence Analysis of Local SGD for Two-layer Neural Network without Overparameterization NeurIPS 2023 Globally Consistent Federated Graph Autoencoder for Non-IID Graphs IJCAI 2023 Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data NeurIPS 2023 GradMA: A Gradient-Memory-Based Accelerated Federated Learning With Alleviated Catastrophic Forgetting CVPR 2023 H-nobs: Achieving Certified Fairness and Robustness in Distributed Learning on Heterogeneous Datasets NeurIPS 2023 How To Prevent the Poor Performance Clients for Personalized Federated Learning? CVPR 2023 HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning IJCAI 2023 Improving the Model Consistency of Decentralized Federated Learning ICML 2023 Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning NeurIPS 2023 Knowledge-Aware Federated Active Learning with Non-IID Data ICCV 2023 Layer-Wise Adaptive Model Aggregation for Scalable Federated Learning AAAI 2023