Richtárik, Peter

Federated Learning: Strategies for Improving Communication Efficiency

Konečný, J., McMahan, H. B., Yu, F. X., Richtárik, P., Suresh, A. T., & Bacon, D. (2016) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 3,766

Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Konečný, J., McMahan, H. B., Ramage, D., & Richtárik, P. (2016) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 1,563

Tighter Theory for Local SGD on Identical and Heterogeneous Data

Khaled, A., Mishchenko, K., & Richtárik, P. (2019) · arXiv

Stochastic Gradient Optimization TechniquesPrivacy-Preserving Technologies in Data

Cited by 162

First Analysis of Local GD on Heterogeneous Data

Khaled, A., Mishchenko, K., & Richtárik, P. (2019) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 103

Randomized distributed mean estimation: Accuracy vs. communication

Konečný, J., & Richtárik, P. (2018) · Frontiers in Applied Mathematics and Statistics

Stochastic Gradient Optimization TechniquesDistributed Control Multi-Agent Systems

Cited by 69