Yeshwanth Venkatesha

30 papers A* 3A 4B 1Misc 1Journal 18Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Assortment of Attention Heads: Accelerating Federated PEFT with Head Pruning and Strategic Client Selection.
CoRR
Yeshwanth Venkatesha, Souvik Kundu, Priyadarshini Panda
2025 J jnl
Assortment of Attention Heads: Accelerating Federated PEFT with Head Pruning and Strategic Client Selection.
Trans. Mach. Learn. Res.
Yeshwanth Venkatesha, Souvik Kundu, Priyadarshini Panda
2025 J jnl
Fast and Cost-effective Speculative Edge-Cloud Decoding with Early Exits.
CoRR
Yeshwanth Venkatesha, Souvik Kundu, Priyadarshini Panda
2025 J jnl
Fast and Cost-effective Speculative Edge-Cloud Decoding with Early Exits.
Trans. Mach. Learn. Res.
Yeshwanth Venkatesha, Souvik Kundu, Priyadarshini Panda
2025 A conf
Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges.
DATE
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
2025 J jnl
Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges.
CoRR
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
2025 A conf
Rhychee-FL: Robust and Efficient Hyperdimensional Federated Learning with Homomorphic Encryption.
DATE
Yujin Nam, Abhishek Moitra, Yeshwanth Venkatesha, Xiaofan Yu, Gabrielle De Micheli, Xuan Wang, Minxuan Zhou, Augusto Vega, Priyadarshini Panda, Tajana Rosing
2024 A conf
HaLo-FL: Hardware-Aware Low-Precision Federated Learning.
DATE
Yeshwanth Venkatesha, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
2023 J jnl
Divide-and-Conquer the NAS puzzle in Resource Constrained Federated Learning Systems.
CoRR
Yeshwanth Venkatesha, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda
2023 J jnl
Divide-and-conquer the NAS puzzle in resource-constrained federated learning systems.
Neural Networks
Yeshwanth Venkatesha, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda
2023 — conf
Examining the Role and Limits of Batchnorm Optimization to Mitigate Diverse Hardware-noise in In-memory Computing.
ACM Great Lakes Symposium on VLSI
Abhiroop Bhattacharjee, Abhishek Moitra, Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda
2023 J jnl
Examining the Role and Limits of Batchnorm Optimization to Mitigate Diverse Hardware-noise in In-memory Computing.
CoRR
Abhiroop Bhattacharjee, Abhishek Moitra, Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda
2023 A* conf
Exploring Temporal Information Dynamics in Spiking Neural Networks.
AAAI
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Anna Hambitzer, Priyadarshini Panda
2022 J jnl
Addressing Client Drift in Federated Continual Learning with Adaptive Optimization.
CoRR
Yeshwanth Venkatesha, Youngeun Kim, Hyoungseob Park, Yuhang Li, Priyadarshini Panda
2022 — conf
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks.
ECCV (12)
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda
2022 J jnl
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks.
CoRR
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda
2022 J jnl
Exploring Temporal Information Dynamics in Spiking Neural Networks.
CoRR
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Anna Hambitzer, Priyadarshini Panda
2022 J jnl
MIME: Adapting a Single Neural Network for Multi-task Inference with Memory-efficient Dynamic Pruning.
CoRR
Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Abhishek Moitra, Priyadarshini Panda
2022 A* conf
MIME: adapting a single neural network for multi-task inference with memory-efficient dynamic pruning.
DAC
Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Abhishek Moitra, Priyadarshini Panda
2022 — conf
Neural Architecture Search for Spiking Neural Networks.
ECCV (24)
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda
2022 J jnl
Neural Architecture Search for Spiking Neural Networks.
CoRR
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda
2022 A* conf
PrivateSNN: Privacy-Preserving Spiking Neural Networks.
AAAI
Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda
2022 Misc conf
Rate Coding Or Direct Coding: Which One Is Better For Accurate, Robust, And Energy-Efficient Spiking Neural Networks?
ICASSP
Youngeun Kim, Hyoungseob Park, Abhishek Moitra, Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Priyadarshini Panda
2022 J jnl
Rate Coding or Direct Coding: Which One is Better for Accurate, Robust, and Energy-efficient Spiking Neural Networks?
CoRR
Youngeun Kim, Hyoungseob Park, Abhishek Moitra, Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Priyadarshini Panda
2021 A conf
Activation Density based Mixed-Precision Quantization for Energy Efficient Neural Networks.
DATE
Karina Vasquez, Yeshwanth Venkatesha, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
2021 J jnl
Activation Density based Mixed-Precision Quantization for Energy Efficient Neural Networks.
CoRR
Karina Vasquez, Yeshwanth Venkatesha, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
2021 J jnl
Federated Learning With Spiking Neural Networks.
IEEE Trans. Signal Process.
Yeshwanth Venkatesha, Youngeun Kim, Leandros Tassiulas, Priyadarshini Panda
2021 J jnl
Federated Learning with Spiking Neural Networks.
CoRR
Yeshwanth Venkatesha, Youngeun Kim, Leandros Tassiulas, Priyadarshini Panda
2021 J jnl
PrivateSNN: Fully Privacy-Preserving Spiking Neural Networks.
CoRR
Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda
2020 B conf
Activation Density Driven Efficient Pruning in Training.
ICPR
Timothy Foldy-Porto, Yeshwanth Venkatesha, Priyadarshini Panda