6 papers
Robust Berrut-Approximated Coded Computing via Discrete Cosine Transforms
Rimpi Borah, J. Harshan
Coded computing is a reliable and fault-tolerant paradigm for executing large-scale computational tasks over distributed worker nodes. Among existing coded computing frameworks, Be…
Balancing Privacy and Robustness in Coded Computing Under Profiled Workers
Rimpi Borah, J. Harshan, Aaditya Sharma
In distributed computing with untrusted workers, the assignment of evaluation indices plays a critical role in determining both privacy and robustness. In this work, we study how t…
Basis-Spline Assisted Coded Computing: Strategies and Error Bounds
Rimpi Borah, J. Harshan, V. Lalitha
Coded computing has emerged as a key framework for addressing the impact of stragglers in distributed computation. While polynomial functions often admit exact recovery under exist…
Robust Analog Lagrange Coded Computing: Theory and Algorithms via Discrete Fourier Transforms
Rimpi Borah, J. Harshan
Analog Lagrange Coded Computing (ALCC) is a recently proposed computational paradigm wherein certain computations over analog datasets are efficiently performed using distributed w…
On Securing Berrut Approximated Coded Computing Through Discrete Cosine Transforms
Rimpi Borah, J. Harshan
Coded computing is a reliable and fault-tolerant mechanism for implementing large computing tasks over a distributed set of worker nodes. While a majority of coded computing framew…
On Securing Analog Lagrange Coded Computing from Colluding Adversaries
Rimpi Borah, J. Harshan
Analog Lagrange Coded Computing (ALCC) is a recently proposed coded computing paradigm wherein certain computations over analog datasets can be efficiently performed using distribu…