11 citations · 42 across the 25 of their papers we have counts for
6 papers · 1 filter
SCE-NTT: A Hardware Accelerator for Number Theoretic Transform Using Superconductor Electronics
Sasan Razmkhah, Mingye Li, Zeming Cheng +13
This research explores the use of superconductor electronics (SCE) for accelerating fully homomorphic encryption (FHE), focusing on the Number-Theoretic Transform (NTT), a key comp…
MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering
Arya Fayyazi, Mehdi Kamal, Massoud Pedram
This paper introduces MARCO (Multi-Agent Reinforcement learning with Conformal Optimization), a novel hardware-aware framework for efficient neural architecture search (NAS) target…
FAIR-SIGHT: Fairness Assurance in Image Recognition via Simultaneous Conformal Thresholding and Dynamic Output Repair
Arya Fayyazi, Mehdi Kamal, Massoud Pedram
We introduce FAIR-SIGHT, an innovative post-hoc framework designed to ensure fairness in computer vision systems by combining conformal prediction with a dynamic output repair mech…
RocketPPA: Code-Level Power, Performance, and Area Prediction via LLM and Mixture of Experts
Armin Abdollahi, Mehdi Kamal, Massoud Pedram
This paper presents RocketPPA, a novel ultra-fast power, performance (delay), and area (PPA) estimator operating directly at the code-level abstraction using HDL code as input. The…
IC-D2S: A Hybrid Ising-Classical-Machines Data-Driven QUBO Solver Method
Armin Abdollahi, Mehdi Kamal, Massoud Pedram
We present a heuristic algorithm designed to solve Quadratic Unconstrained Binary Optimization (QUBO) problems efficiently. The algorithm, referred to as IC-D2S, leverages a hybrid…
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems
Arya Fayyazi, Mehdi Kamal, Massoud Pedram
We propose FACTER, a fairness-aware framework for LLM-based recommendation systems that integrates conformal prediction with dynamic prompt engineering. By introducing an adaptive…