47 citations · 114 across the 86 of their papers we have counts for
6 papers · 1 filter
Privacy-Preserving Collaborative Learning through Feature Extraction
Alireza Sarmadi, Hao Fu, Prashanth Krishnamurthy +2
We propose a framework in which multiple entities collaborate to build a machine learning model while preserving privacy of their data. The approach utilizes feature embeddings fro…
An Upper Bound for the Distribution Overlap Index and Its Applications
Hao Fu, Prashanth Krishnamurthy, Siddharth Garg +1
This paper proposes an easy-to-compute upper bound for the overlap index between two probability distributions without requiring any knowledge of the distribution models. The compu…
Modular Multi-Copter Structure Control for Cooperative Aerial Cargo Transportation
Dimitris Chaikalis, Nikolaos Evangeliou, Anthony Tzes +1
The control problem of a multi-copter swarm, mechanically coupled through a modular lattice structure of connecting rods, is considered in this article. The system's structural ela…
Matrix Pencil Based On-Line Computation of Controller Parameters in Dynamic High-Gain Scaling Controllers for Strict-Feedback Systems
Prashanth Krishnamurthy, Farshad Khorrami
We propose a new matrix pencil based approach for design of state-feedback and output-feedback stabilizing controllers for a general class of uncertain nonlinear strict-feedback-li…
Learning a Better Control Barrier Function
Bolun Dai, Prashanth Krishnamurthy, Farshad Khorrami
Control barrier functions (CBFs) are widely used in safety-critical controllers. However, constructing a valid CBF is challenging, especially under nonlinear or non-convex constrai…
Pop Quiz! Can a Large Language Model Help With Reverse Engineering?
Hammond Pearce, Benjamin Tan, Prashanth Krishnamurthy +3
Large language models (such as OpenAI's Codex) have demonstrated impressive zero-shot multi-task capabilities in the software domain, including code explanation. In this work, we e…