Sai Aparna Aketi

According to our database, Sai Aparna Aketi authored at least 19 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Toward Two-Stream Foveation-Based Active Vision Learning.

Timur Ibrayev, Amitangshu Mukherjee, Sai Aparna Aketi, Kaushik Roy

IEEE Trans. Cogn. Dev. Syst., October, 2024

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

Deepak Ravikumar, Gobinda Saha, Sai Aparna Aketi, Kaushik Roy

Trans. Mach. Learn. Res., 2024

CoDeC: Communication-Efficient Decentralized Continual Learning.

Sakshi Choudhary, Sai Aparna Aketi, Gobinda Saha, Kaushik Roy

Trans. Mach. Learn. Res., 2024

SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data.

Sakshi Choudhary, Sai Aparna Aketi, Kaushik Roy

CoRR, 2024

AdaGossip: Adaptive Consensus Step-size for Decentralized Deep Learning with Communication Compression.

Sai Aparna Aketi, Abolfazl Hashemi, Kaushik Roy

CoRR, 2024

Towards Two-Stream Foveation-based Active Vision Learning.

Timur Ibrayev, Amitangshu Mukherjee, Sai Aparna Aketi, Kaushik Roy

CoRR, 2024

Cross-feature Contrastive Loss for Decentralized Deep Learning on Heterogeneous Data.

Sai Aparna Aketi, Kaushik Roy

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Averaging Rate Scheduler for Decentralized Learning on Heterogeneous Data.

Sai Aparna Aketi, Sakshi Choudhary, Kaushik Roy

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

2023

Neighborhood Gradient Mean: An Efficient Decentralized Learning Method for Non-IID Data.

Sai Aparna Aketi, Sangamesh Kodge, Kaushik Roy

Trans. Mach. Learn. Res., 2023

Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data.

Sai Aparna Aketi, Abolfazl Hashemi, Kaushik Roy

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

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

Sai Aparna Aketi, Sangamesh Kodge, Kaushik Roy

Neural Networks, 2022

Neighborhood Gradient Clustering: An Efficient Decentralized Learning Method for Non-IID Data Distributions.

Sai Aparna Aketi, Sangamesh Kodge, Kaushik Roy

CoRR, 2022

2021

Low Precision Decentralized Distributed Training with Heterogeneous Data.

Sai Aparna Aketi, Sangamesh Kodge, Kaushik Roy

CoRR, 2021

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

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

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

Sai Aparna Aketi, Priyadarshini Panda, Kaushik Roy

CoRR, 2020

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

Sai Aparna Aketi, Sourjya Roy, Anand Raghunathan, Kaushik Roy

IEEE Access, 2020

2019

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

Priyadarshini Panda, Sai Aparna Aketi, Kaushik Roy

CoRR, 2019

2018

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

Sai Aparna Aketi, Joycee Mekie, Hemal Shah

Proceedings of the 31st International Conference on VLSI Design and 17th International Conference on Embedded Systems, 2018