Single-Error Hardened and Multiple-Error Tolerant Guarded Dual Modular Redundancy Technique. - Sai Aparna Aketi; Joycee Mekie; Hemal Shah (VLSID, 2018)

Towards Scalable, Efficient and Accurate Deep Spiking Neural Networks with Backward Residual Connections, Stochastic Softmax and Hybridization. - Priyadarshini Panda; Sai Aparna Aketi; Kaushik Roy 001 (CoRR, 2019)

Gradual Channel Pruning While Training Using Feature Relevance Scores for Convolutional Neural Networks. - Sai Aparna Aketi; Sourjya Roy; Anand Raghunathan; Kaushik Roy 001 (IEEE Access, 2020)

Relevant-features based Auxiliary Cells for Energy Efficient Detection of Natural Errors. - Sai Aparna Aketi; Priyadarshini Panda; Kaushik Roy 001 (CoRR, 2020)

SERAD: Soft Error Resilient Asynchronous Design Using a Bundled Data Protocol. - Sai Aparna Aketi; Smriti Gupta; Huimei Cheng; Joycee Mekie; Peter A. Beerel (IEEE Trans. Circuits Syst. I Fundam. Theory Appl., 2020)

Sparse-Push: Communication- & Energy-Efficient Decentralized Distributed Learning over Directed & Time-Varying Graphs with non-IID Datasets. - Sai Aparna Aketi; Amandeep Singh; Jan M. Rabaey (CoRR, 2021)

Low Precision Decentralized Distributed Training with Heterogeneous Data. - Sai Aparna Aketi; Sangamesh Kodge; Kaushik Roy 001 (CoRR, 2021)

Neighborhood Gradient Clustering: An Efficient Decentralized Learning Method for Non-IID Data Distributions. - Sai Aparna Aketi; Sangamesh Kodge; Kaushik Roy 001 (CoRR, 2022)

Low precision decentralized distributed training over IID and non-IID data. - Sai Aparna Aketi; Sangamesh Kodge; Kaushik Roy 001 (Neural Networks, 2022)

Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data. - Sai Aparna Aketi; Abolfazl Hashemi; Kaushik Roy 001 (NeurIPS, 2023)

Neighborhood Gradient Mean: An Efficient Decentralized Learning Method for Non-IID Data. - Sai Aparna Aketi; Sangamesh Kodge; Kaushik Roy 001 (Trans. Mach. Learn. Res., 2023)

Averaging Rate Scheduler for Decentralized Learning on Heterogeneous Data. - Sai Aparna Aketi; Sakshi Choudhary; Kaushik Roy 001 (Tiny Papers @ ICLR, 2024)

Cross-feature Contrastive Loss for Decentralized Deep Learning on Heterogeneous Data. - Sai Aparna Aketi; Kaushik Roy 001 (WACV, 2024)

Towards Two-Stream Foveation-based Active Vision Learning. - Timur Ibrayev; Amitangshu Mukherjee; Sai Aparna Aketi; Kaushik Roy 001 (CoRR, 2024)

AdaGossip: Adaptive Consensus Step-size for Decentralized Deep Learning with Communication Compression. - Sai Aparna Aketi; Abolfazl Hashemi; Kaushik Roy 001 (CoRR, 2024)

CoDeC: Communication-Efficient Decentralized Continual Learning. - Sakshi Choudhary; Sai Aparna Aketi; Gobinda Saha; Kaushik Roy 001 (Trans. Mach. Learn. Res., 2024)

Homogenizing Non-IID Datasets via In-Distribution Knowledge Distillation for Decentralized Learning. - Deepak Ravikumar; Gobinda Saha; Sai Aparna Aketi; Kaushik Roy 001 (Trans. Mach. Learn. Res., 2024)

Toward Two-Stream Foveation-Based Active Vision Learning. - Timur Ibrayev; Amitangshu Mukherjee; Sai Aparna Aketi; Kaushik Roy 001 (IEEE Trans. Cogn. Dev. Syst., 2024)

SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data. - Sakshi Choudhary; Sai Aparna Aketi; Kaushik Roy 001 (WACV, 2025)