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Federated Learning

1355 directly classified papers

Papers per year

Papers

Contamination Attacks and Mitigation in Multi-Party Machine Learning NIPS 2018
The Hidden Vulnerability of Distributed Learning in Byzantium ICML 2018
Minimax-Optimal Privacy-Preserving Sparse PCA in Distributed Systems AISTATS 2018
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning NIPS 2018
Asynchronous Distributed Variational Gaussian Process for Regression ICML 2017
Lean Crowdsourcing: Combining Humans and Machines in an Online System CVPR 2017
Federated Multi-Task Learning NIPS 2017
Communication-Efficient Distributed Learning of Discrete Distributions NIPS 2017
Differentially private Bayesian learning on distributed data NIPS 2017
Distributed Multi-Task Learning AISTATS 2016
Bootstrap Model Aggregation for Distributed Statistical Learning NIPS 2016
Semi-Supervised and Cross-Lingual Knowledge Transfer Learnings for DNN Hybrid Acoustic Models Under Low-Resource Conditions INTERSPEECH 2016
FireCaffe: Near-Linear Acceleration of Deep Neural Network Training on Compute Clusters CVPR 2016
Streaming, Distributed Variational Inference for Bayesian Nonparametrics NIPS 2015
Fast Distributed k-Center Clustering with Outliers on Massive Data NIPS 2015
Distributed Inference for Dirichlet Process Mixture Models ICML 2015
WASP: Scalable Bayes via barycenters of subset posteriors AISTATS 2015
Distributed Parameter Estimation in Probabilistic Graphical Models NIPS 2014
Distributed Bayesian Posterior Sampling via Moment Sharing NIPS 2014
Gaussian Process-Based Decentralized Data Fusion and Active Sensing for Mobility-on-Demand System RSS 2013
Adaptive Crowdsourcing Algorithms for the Bandit Survey Problem COLT 2013
Distributed Probabilistic Learning for Camera Networks with Missing Data NIPS 2012
Protocols for Learning Classifiers on Distributed Data AISTATS 2012
Active Learning from Multiple Knowledge Sources AISTATS 2012
Distributed Approximation of Joint Measurement Distributions Using Mixtures of Gaussians RSS 2012