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Federated Learning

1,560 papers

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Papers

Federated Multi-Armed Bandits AAAI 2021 Federated Multi-armed Bandits with Personalization AISTATS 2021 Federated Multi-Task Learning under a Mixture of Distributions NeurIPS 2021 Federated Reconstruction: Partially Local Federated Learning NeurIPS 2021 Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning ICLR 2021 Federated stochastic gradient Langevin dynamics UAI 2021 FedSpeech: Federated Text-to-Speech with Continual Learning IJCAI 2021 Few-Round Learning for Federated Learning NeurIPS 2021 FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout NeurIPS 2021 FLAME: Differentially Private Federated Learning in the Shuffle Model AAAI 2021 FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective NeurIPS 2021 Free-rider Attacks on Model Aggregation in Federated Learning AISTATS 2021 Game of Gradients: Mitigating Irrelevant Clients in Federated Learning AAAI 2021 Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix ICML 2021 Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning NeurIPS 2021 Gradient Inversion with Generative Image Prior NeurIPS 2021 HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients ICLR 2021 Heterogeneity for the Win: One-Shot Federated Clustering ICML 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 Local SGD: Unified Theory and New Efficient Methods AISTATS 2021