federated learning

Distributed Machine Learning with Sparse Heterogeneous Data NeurIPS 2021 Ditto: Fair and Robust Federated Learning Through Personalization ICML 2021 DRIVE: One-bit Distributed Mean Estimation NeurIPS 2021 Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation EMNLP 2021 Ensemble Attention Distillation for Privacy-Preserving Federated Learning ICCV 2021 Evaluating Gradient Inversion Attacks and Defenses in Federated Learning NeurIPS 2021 Exploiting Shared Representations for Personalized Federated Learning ICML 2021 Fast Federated Learning in the Presence of Arbitrary Device Unavailability NeurIPS 2021 FATE: An Industrial Grade Platform for Collaborative Learning With Data Protection JMLR 2021 FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning ICLR 2021 FedBN: Federated Learning on Non-IID Features via Local Batch Normalization ICLR 2021 FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space CVPR 2021 FedDR – Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization NeurIPS 2021 Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models AAAI 2021 Federated Composite Optimization ICML 2021 Federated Continual Learning with Weighted Inter-client Transfer ICML 2021 Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity ICML 2021 Federated-EM with heterogeneity mitigation and variance reduction NeurIPS 2021 Federated f-Differential Privacy AISTATS 2021 Federated Graph Classification over Non-IID Graphs NeurIPS 2021 Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing NeurIPS 2021 Federated Learning Based on Dynamic Regularization ICLR 2021 Federated Learning for Non-IID Data via Unified Feature Learning and Optimization Objective Alignment ICCV 2021 Federated Learning of User Verification Models Without Sharing Embeddings ICML 2021 Federated Learning under Arbitrary Communication Patterns ICML 2021