Yeshwanth Venkatesha
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
6
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | DATE | Rhychee-FL: Robust and Efficient Hyperdimensional Federated Learning with Homomorphic Encryption. | Yujin Nam, Abhishek Moitra, Yeshwanth Venkatesha, Xiaofan Yu, Gabrielle De Micheli, Xuan Wang, Minxuan Zhou, Augusto Vega, Priyadarshini Panda, Tajana Rosing |
| 2025 | DATE | Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges. | Amit Ranjan Trivedi, Sina Tayebati, Hemant Kumawat, Nastaran Darabi, Divake Kumar, Adarsh Kumar Kosta, Yeshwanth Venkatesha, Dinithi Jayasuriya, Nethmi Jayasinghe, Priyadarshini Panda, Saibal Mukhopadhyay, Kaushik Roy |
| 2024 | DATE | HaLo-FL: Hardware-Aware Low-Precision Federated Learning. | Yeshwanth Venkatesha, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda |
| 2023 | AAAI | Exploring Temporal Information Dynamics in Spiking Neural Networks. | Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Anna Hambitzer, Priyadarshini Panda |
| 2022 | AAAI | PrivateSNN: Privacy-Preserving Spiking Neural Networks. | Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda |
| 2022 | DAC | MIME: adapting a single neural network for multi-task inference with memory-efficient dynamic pruning. | Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Abhishek Moitra, Priyadarshini Panda |
| 2022 | ECCV | Neural Architecture Search for Spiking Neural Networks. | Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda |
| 2022 | ECCV | Exploring Lottery Ticket Hypothesis in Spiking Neural Networks. | Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda |
| 2022 | ICASSP | Rate Coding Or Direct Coding: Which One Is Better For Accurate, Robust, And Energy-Efficient Spiking Neural Networks? | Youngeun Kim, Hyoungseob Park, Abhishek Moitra, Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Priyadarshini Panda |
| 2021 | DATE | Activation Density based Mixed-Precision Quantization for Energy Efficient Neural Networks. | Karina Vasquez, Yeshwanth Venkatesha, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda |
| 2020 | ICPR | Activation Density Driven Efficient Pruning in Training. | Timothy Foldy-Porto, Yeshwanth Venkatesha, Priyadarshini Panda |