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Federated Learning

1,360 papers

Papers per year

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Papers

FedED: Federated Learning via Ensemble Distillation for Medical Relation Extraction EMNLP 2020
Empirical Studies of Institutional Federated Learning For Natural Language Processing EMNLP 2020
TextHide: Tackling Data Privacy in Language Understanding Tasks EMNLP 2020
Privacy-Preserving News Recommendation Model Learning EMNLP 2020
How to Solve Fair k-Center in Massive Data Models ICML 2020
Model Fusion with Kullback-Leibler Divergence ICML 2020
FedBoost: A Communication-Efficient Algorithm for Federated Learning ICML 2020
InstaHide: Instance-hiding Schemes for Private Distributed Learning ICML 2020
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning ICML 2020
Private Outsourced Bayesian Optimization ICML 2020
A Unified Theory of Decentralized SGD with Changing Topology and Local Updates ICML 2020
Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization ICML 2020
From Local SGD to Local Fixed-Point Methods for Federated Learning ICML 2020
FetchSGD: Communication-Efficient Federated Learning with Sketching ICML 2020
Collaborative Machine Learning with Incentive-Aware Model Rewards ICML 2020
Federated Learning with Only Positive Labels ICML 2020
Belief Merging Operators as Maximum Likelihood Estimators IJCAI 2020
Federated Meta-Learning for Fraudulent Credit Card Detection IJCAI 2020
A Multi-player Game for Studying Federated Learning Incentive Schemes IJCAI 2020
A Federated Approach in Training Acoustic Models INTERSPEECH 2020
Sequence-Level Self-Learning with Multiple Hypotheses INTERSPEECH 2020
Improving On-Device Speaker Verification Using Federated Learning with Privacy INTERSPEECH 2020
Training Keyword Spotting Models on Non-IID Data with Federated Learning INTERSPEECH 2020
GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning JMLR 2020
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction JMLR 2020