Search Results - "Lohana, Aditya"
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ExPAN(N)D: Exploring Posits for Efficient Artificial Neural Network Design in FPGA-Based Systems
Published in IEEE access (2021)“…The high computational complexity, memory footprints, and energy requirements of machine learning models, such as Artificial Neural Networks (ANNs), hinder…”
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Journal Article -
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Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization
Published in 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE) (01-02-2021)“…Logic synthesis is a fundamental step in hardware design whose goal is to find structural representations of Boolean functions while minimizing delay and area…”
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Conference Proceeding -
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ExPAN(N)D: Exploring Posits for Efficient Artificial Neural Network Design in FPGA-based Systems
Published 27-10-2020“…The recent advances in machine learning, in general, and Artificial Neural Networks (ANN), in particular, has made smart embedded systems an attractive option…”
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Journal Article -
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Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization
Published 04-12-2020“…Logic synthesis is a fundamental step in hardware design whose goal is to find structural representations of Boolean functions while minimizing delay and area…”
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Journal Article -
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Efficient Privacy-Aware Federated Learning by Elimination of Downstream Redundancy
Published in IEEE design and test (01-06-2022)“…This article introduces a low-communication-overhead technique targeted toward federated learning systems using additively homomorphic encryption…”
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Magazine Article