federated learning

Fedvarp: Tackling the variance due to partial client participation in federated learning UAI 2022 Fine-Tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning CVPR 2022 Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification ICML 2022 FLAIR: Federated Learning Annotated Image Repository NeurIPS 2022 Fleet-DAgger: Interactive Robot Fleet Learning with Scalable Human Supervision CoRL 2022 FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning AISTATS 2022 FLVoogd: Robust And Privacy Preserving Federated Learning ACML 2022 GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations NeurIPS 2022 Generalized Federated Learning via Sharpness Aware Minimization ICML 2022 Global Convergence of Federated Learning for Mixed Regression NeurIPS 2022 Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs IJCAI 2022 HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images AAAI 2022 Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning IJCAI 2022 Hierarchical Bayesian Bandits AISTATS 2022 Hybrid Local SGD for Federated Learning with Heterogeneous Communications ICLR 2022 Implicit Gradient Alignment in Distributed and Federated Learning AAAI 2022 Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive Streams NeurIPS 2022 Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters ICLR 2022 Infinitely Divisible Noise in the Low Privacy Regime ALT 2022 Intrinsic Gradient Compression for Scalable and Efficient Federated Learning ACL 2022 Is Your Data Relevant?: Dynamic Selection of Relevant Data for Federated Learning AAAI 2022 Iterated Vector Fields and Conservatism, with Applications to Federated Learning ALT 2022 LAMP: Extracting Text from Gradients with Language Model Priors NeurIPS 2022 Layer-Wised Model Aggregation for Personalized Federated Learning CVPR 2022 Learn From Others and Be Yourself in Heterogeneous Federated Learning CVPR 2022