Olshevsky, Alex

Distributed Optimization Over Time-Varying Directed Graphs

Nedic, A., & Olshevsky, A. (2015) · IEEE Transactions on Automatic Control

Distributed Control Multi-Agent SystemsOptimization and Variational Analysis

Cited by 1,187

Achieving Geometric Convergence for Distributed Optimization Over Time-Varying Graphs

Nedić, A., Olshevsky, A., & Shi, W. (2017) · SIAM Journal on Optimization

Distributed Control Multi-Agent SystemsOptimization and Variational Analysis

Cited by 1,069

Federated learning of predictive models from federated Electronic Health Records

Brisimi, T. S., Chen, R., Mela, T., Olshevsky, A., Paschalidis, I. C., & Shi, W. (2018) · International Journal of Medical Informatics

Privacy-Preserving Technologies in DataDistributed Control Multi-Agent Systems

Cited by 997

On Distributed Averaging Algorithms and Quantization Effects

Nedic, A., Olshevsky, A., Ozdaglar, A., & Tsitsiklis, J. N. (2009) · IEEE Transactions on Automatic Control

Distributed Control Multi-Agent SystemsStability and Control of Uncertain Systems

Cited by 557

Geometrically convergent distributed optimization with uncoordinated step-sizes

Nedic, A., Olshevsky, A., Shi, W., & Uribe, C. A. (2017) · 2017 American Control Conference (ACC)

Distributed Control Multi-Agent SystemsStochastic Gradient Optimization Techniques

Cited by 145

Distributed optimization over time-varying directed graphs

Nedic, A., & Olshevsky, A. (2013) · 52nd IEEE Conference on Decision and Control

Distributed Control Multi-Agent SystemsOptimization and Variational Analysis

Cited by 72

Stochastic Gradient-Push for Strongly Convex Functions on Time-Varying Directed Graphs

Nedic, A., & Olshevsky, A. (2014) · arXiv

Distributed Control Multi-Agent SystemsStochastic Gradient Optimization Techniques

Cited by 38