121 citations · 413 across the 32 of their papers we have counts for
4 papers · 1 filter
DESTRESS: Computation-Optimal and Communication-Efficient Decentralized Nonconvex Finite-Sum Optimization
Boyue Li, Zhize Li, Yuejie Chi
Emerging applications in multi-agent environments such as internet-of-things, networked sensing, autonomous systems and federated learning, call for decentralized algorithms for fi…
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE
Juntang Zhuang, Nicha Dvornek, Xiaoxiao Li +3
Neural ordinary differential equations (NODEs) have recently attracted increasing attention; however, their empirical performance on benchmark tasks (e.g. image classification) are…
Scale-free network optimization: foundations and algorithms
Patrick Rebeschini, Sekhar Tatikonda
We investigate the fundamental principles that drive the development of scalable algorithms for network optimization. Despite the significant amount of work on parallel and decentr…
Scatter Matrix Concordance: A Diagnostic for Regressions on Subsets of Data
Michael J. Kane, Bryan Lewis, Sekhar Tatikonda +1
Linear regression models depend directly on the design matrix and its properties. Techniques that efficiently estimate model coefficients by partitioning rows of the design matrix…