Shamir, Ohad

Communication-Efficient Distributed Optimization using an Approximate Newton-type Method

Shamir, O., Srebro, N., & Zhang, T. (2013) · arXiv

Stochastic Gradient Optimization TechniquesDistributed Control Multi-Agent Systems

Cited by 424

Better Mini-Batch Algorithms via Accelerated Gradient Methods

Cotter, A., Shamir, O., Srebro, N., & Sridharan, K. (2011) · arXiv

Stochastic Gradient Optimization TechniquesDistributed Control Multi-Agent Systems

Cited by 173

Communication Complexity of Distributed Convex Learning and Optimization

Arjevani, Y., & Shamir, O. (2015) · arXiv

Stochastic Gradient Optimization TechniquesDistributed Control Multi-Agent Systems

Cited by 133

Is Local SGD Better than Minibatch SGD?

Woodworth, B., Patel, K. K., Stich, S. U., Dai, Z., Bullins, B., McMahan, H. B., Shamir, O., & Srebro, N. (2020) · arXiv

Stochastic Gradient Optimization TechniquesDistributed Control Multi-Agent Systems

Cited by 131

Distributed stochastic optimization and learning

Shamir, O., & Srebro, N. (2014) · 2014 52nd Annual Allerton Conference on Communication, Control, and Computing (Allerton)

Stochastic Gradient Optimization TechniquesDistributed Control Multi-Agent Systems

Cited by 120