federated learning

HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients ICLR 2021 H-FL: A Hierarchical Communication-Efficient and Privacy-Protected Architecture for Federated Learning IJCAI 2021 Hiding Numerical Vectors in Local Private and Shuffled Messages IJCAI 2021 Improving Federated Learning for Aspect-based Sentiment Analysis via Topic Memories EMNLP 2021 LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy IJCAI 2021 Learning from History for Byzantine Robust Optimization ICML 2021 Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation NeurIPS 2021 Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients NeurIPS 2021 Linear Regression over Networks with Communication Guarantees L4DC 2021 Local SGD: Unified Theory and New Efficient Methods AISTATS 2021 Lossless Compression of Efficient Private Local Randomizers ICML 2021 MARINA: Faster Non-Convex Distributed Learning with Compression ICML 2021 Membership Inference Attacks on Deep Regression Models for Neuroimaging MIDL 2021 Model-Contrastive Federated Learning CVPR 2021 Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation AAAI 2021 Multi-Institutional Collaborations for Improving Deep Learning-Based Magnetic Resonance Image Reconstruction Using Federated Learning CVPR 2021 No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data NeurIPS 2021 On Data Efficiency of Meta-learning AISTATS 2021 One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning ICML 2021 One-Shot Federated Learning: Theoretical Limits and Algorithms to Achieve Them JMLR 2021 On Large-Cohort Training for Federated Learning NeurIPS 2021 On the Convergence of Communication-Efficient Local SGD for Federated Learning AAAI 2021 Oort: Efficient Federated Learning via Guided Participant Selection OSDI 2021 Optimality and Stability in Federated Learning: A Game-theoretic Approach NeurIPS 2021 Parameterized Knowledge Transfer for Personalized Federated Learning NeurIPS 2021