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Federated Learning

1355 directly classified papers

Papers per year

Papers

Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation NIPS 2021
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients NIPS 2021
Federated Multi-Task Learning under a Mixture of Distributions NIPS 2021
99% of Worker-Master Communication in Distributed Optimization Is Not Needed UAI 2020
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization AISTATS 2020
Robust Federated Learning via Collaborative Machine Teaching AAAI 2020
Data-driven confidence bands for distributed nonparametric regression COLT 2020
Federated Latent Dirichlet Allocation: A Local Differential Privacy Based Framework AAAI 2020
Privacy-Preserving News Recommendation Model Learning EMNLP 2020
Distributed Primal-Dual Optimization for Online Multi-Task Learning AAAI 2020
Practical Federated Gradient Boosting Decision Trees AAAI 2020
Active Preference-Based Gaussian Process Regression for Reward Learning RSS 2020
Federated Meta-Learning for Fraudulent Credit Card Detection IJCAI 2020
A Multi-player Game for Studying Federated Learning Incentive Schemes IJCAI 2020
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction JMLR 2020
Belief Merging Operators as Maximum Likelihood Estimators IJCAI 2020
Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms NIPS 2020
Personalized Federated Learning with Moreau Envelopes NIPS 2020
Lower Bounds and Optimal Algorithms for Personalized Federated Learning NIPS 2020
Private Outsourced Bayesian Optimization ICML 2020
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning ICML 2020
Feedback-Based Self-Learning in Large-Scale Conversational AI Agents AAAI 2020
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction AISTATS 2020
Improving On-Device Speaker Verification Using Federated Learning with Privacy INTERSPEECH 2020
AutoDAL: Distributed Active Learning with Automatic Hyperparameter Selection AAAI 2020