Sai Aparna Aketi

Relevant-features based Auxiliary Cells for Energy Efficient Detection of Natural Errors pdf

Kaushik Roy, Priyadarshini Panda, Sai Aparna Aketi, 2020, ArXiv.

Single-Error Hardened and Multiple-Error Tolerant Guarded Dual Modular Redundancy Technique

Joycee Mekie, Hemal Shah, Sai Aparna Aketi, 2018, 2018 31st International Conference on VLSI Design and 2018 17th International Conference on Embedded Systems (VLSID).

SERAD: Soft Error Resilient Asynchronous Design Using a Bundled Data Protocol

Peter A. Beerel, Joycee Mekie, Huimei Cheng, 2020, IEEE Transactions on Circuits and Systems I: Regular Papers.

Gradual Channel Pruning While Training Using Feature Relevance Scores for Convolutional Neural Networks

Kaushik Roy, Anand Raghunathan, Sai Aparna Aketi, 2020, IEEE Access.

Sparse-Push: Communication- & Energy-Efficient Decentralized Distributed Learning over Directed & Time-Varying Graphs with non-IID Datasets pdf

Amandeep Singh, Jan Rabaey, Sai Aparna Aketi, 2021, ArXiv.

Low Precision Decentralized Distributed Training with Heterogeneous Data pdf

Sangamesh Kodge, Sai Aparna Aketi, Kaushik Roy, 2021, ArXiv.

Gradual Channel Pruning While Training Using Feature Relevance Scores for Convolutional Neural Networks

Sai Aparna Aketi, K. Roy, A. Raghunathan, 2020, IEEE Access.

Low precision decentralized distributed training over IID and non-IID data

Sai Aparna Aketi, Kaushik Roy, Sangamesh Kodge, 2021, Neural Networks.

Towards Scalable, Efficient and Accurate Deep Spiking Neural Networks with Backward Residual Connections, Stochastic Softmax and Hybridization

Kaushik Roy, Priyadarshini Panda, Sai Aparna Aketi, 2019, ArXiv.

CoDeC: Communication-Efficient Decentralized Continual Learning

Sai Aparna Aketi, Gobinda Saha, Kaushik Roy, 2023, ArXiv.

Toward Scalable, Efficient, and Accurate Deep Spiking Neural Networks With Backward Residual Connections, Stochastic Softmax, and Hybridization

Sai Aparna Aketi, P. Panda, Kaushik Roy, 2020, Frontiers in Neuroscience.

Homogenizing Non-IID datasets via In-Distribution Knowledge Distillation for Decentralized Learning

Sai Aparna Aketi, Gobinda Saha, Deepak Ravikumar, 2023, ArXiv.