Federated Learning

FeDXL: Provable Federated Learning for Deep X-Risk Optimization ICML 2023 Finding Local Minima Efficiently in Decentralized Optimization NeurIPS 2023 Fine-Grained Theoretical Analysis of Federated Zeroth-Order Optimization NeurIPS 2023 FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification ICLR 2023 FLASH: Automating federated learning using CASH UAI 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 FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning ICLR 2023 Flow: Per-instance Personalized Federated Learning NeurIPS 2023 FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout NeurIPS 2023 FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation ICCV 2023 From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning ICML 2023 Generalization Bounds for Federated Learning: Fast Rates, Unparticipating Clients and Unbounded Losses ICLR 2023 Generative Gradient Inversion via Over-Parameterized Networks in Federated Learning ICCV 2023 Gentopia.AI: A Collaborative Platform for Tool-Augmented LLMs EMNLP 2023 GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization ICCV 2023 Global Balanced Experts for Federated Long-Tailed Learning ICCV 2023 Globally Consistent Federated Graph Autoencoder for Non-IID Graphs IJCAI 2023 GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning ICCV 2023 GuardHFL: Privacy Guardian for Heterogeneous Federated Learning ICML 2023 Guiding The Last Layer in Federated Learning with Pre-Trained Models NeurIPS 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 Hyperparameter Optimization through Neural Network Partitioning ICLR 2023