Sai Aparna Aketi

28 papers A* 1A 2Misc 1Journal 23Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Achieving Global Flatness in Decentralized Learning with Heterogeneous Data.
Trans. Mach. Learn. Res.
Sakshi Choudhary, Sai Aparna Aketi, Kaushik Roy
2025 A conf
SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data.
WACV
Sakshi Choudhary, Sai Aparna Aketi, Kaushik Roy
2024 J jnl
AdaGossip: Adaptive Consensus Step-size for Decentralized Deep Learning with Communication Compression.
CoRR
Sai Aparna Aketi, Abolfazl Hashemi, Kaushik Roy
2024 — conf
Averaging Rate Scheduler for Decentralized Learning on Heterogeneous Data.
Tiny Papers @ ICLR
Sai Aparna Aketi, Sakshi Choudhary, Kaushik Roy
2024 J jnl
Averaging Rate Scheduler for Decentralized Learning on Heterogeneous Data.
CoRR
Sai Aparna Aketi, Sakshi Choudhary, Kaushik Roy
2024 J jnl
CoDeC: Communication-Efficient Decentralized Continual Learning.
Trans. Mach. Learn. Res.
Sakshi Choudhary, Sai Aparna Aketi, Gobinda Saha, Kaushik Roy
2024 A conf
Cross-feature Contrastive Loss for Decentralized Deep Learning on Heterogeneous Data.
WACV
Sai Aparna Aketi, Kaushik Roy
2024 J jnl
Homogenizing Non-IID Datasets via In-Distribution Knowledge Distillation for Decentralized Learning.
Trans. Mach. Learn. Res.
Deepak Ravikumar, Gobinda Saha, Sai Aparna Aketi, Kaushik Roy
2024 J jnl
SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data.
CoRR
Sakshi Choudhary, Sai Aparna Aketi, Kaushik Roy
2024 J jnl
Toward Two-Stream Foveation-Based Active Vision Learning.
IEEE Trans. Cogn. Dev. Syst.
Timur Ibrayev, Amitangshu Mukherjee, Sai Aparna Aketi, Kaushik Roy
2024 J jnl
Towards Two-Stream Foveation-based Active Vision Learning.
CoRR
Timur Ibrayev, Amitangshu Mukherjee, Sai Aparna Aketi, Kaushik Roy
2023 J jnl
CoDeC: Communication-Efficient Decentralized Continual Learning.
CoRR
Sakshi Choudhary, Sai Aparna Aketi, Gobinda Saha, Kaushik Roy
2023 J jnl
Cross-feature Contrastive Loss for Decentralized Deep Learning on Heterogeneous Data.
CoRR
Sai Aparna Aketi, Kaushik Roy
2023 A* conf
Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data.
NeurIPS
Sai Aparna Aketi, Abolfazl Hashemi, Kaushik Roy
2023 J jnl
Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data.
CoRR
Sai Aparna Aketi, Abolfazl Hashemi, Kaushik Roy
2023 J jnl
Homogenizing Non-IID datasets via In-Distribution Knowledge Distillation for Decentralized Learning.
CoRR
Deepak Ravikumar, Gobinda Saha, Sai Aparna Aketi, Kaushik Roy
2023 J jnl
Neighborhood Gradient Mean: An Efficient Decentralized Learning Method for Non-IID Data.
Trans. Mach. Learn. Res.
Sai Aparna Aketi, Sangamesh Kodge, Kaushik Roy
2022 J jnl
Low precision decentralized distributed training over IID and non-IID data.
Neural Networks
Sai Aparna Aketi, Sangamesh Kodge, Kaushik Roy
2022 J jnl
Neighborhood Gradient Clustering: An Efficient Decentralized Learning Method for Non-IID Data Distributions.
CoRR
Sai Aparna Aketi, Sangamesh Kodge, Kaushik Roy
2021 J jnl
Low Precision Decentralized Distributed Training with Heterogeneous Data.
CoRR
Sai Aparna Aketi, Sangamesh Kodge, Kaushik Roy
2021 J jnl
Sparse-Push: Communication- & Energy-Efficient Decentralized Distributed Learning over Directed & Time-Varying Graphs with non-IID Datasets.
CoRR
Sai Aparna Aketi, Amandeep Singh, Jan M. Rabaey
2020 J jnl
Gradual Channel Pruning While Training Using Feature Relevance Scores for Convolutional Neural Networks.
IEEE Access
Sai Aparna Aketi, Sourjya Roy, Anand Raghunathan, Kaushik Roy
2020 J jnl
Gradual Channel Pruning while Training using Feature Relevance Scores for Convolutional Neural Networks.
CoRR
Sai Aparna Aketi, Sourjya Roy, Anand Raghunathan, Kaushik Roy
2020 J jnl
Relevant-features based Auxiliary Cells for Energy Efficient Detection of Natural Errors.
CoRR
Sai Aparna Aketi, Priyadarshini Panda, Kaushik Roy
2020 J jnl
SERAD: Soft Error Resilient Asynchronous Design Using a Bundled Data Protocol.
IEEE Trans. Circuits Syst. I Fundam. Theory Appl.
Sai Aparna Aketi, Smriti Gupta, Huimei Cheng, Joycee Mekie, Peter A. Beerel
2020 J jnl
SERAD: Soft Error Resilient Asynchronous Design using a Bundled Data Protocol.
CoRR
Sai Aparna Aketi, Smriti Gupta, Huimei Cheng, Joycee Mekie, Peter A. Beerel
2019 J jnl
Towards Scalable, Efficient and Accurate Deep Spiking Neural Networks with Backward Residual Connections, Stochastic Softmax and Hybridization.
CoRR
Priyadarshini Panda, Sai Aparna Aketi, Kaushik Roy
2018 Misc conf
Single-Error Hardened and Multiple-Error Tolerant Guarded Dual Modular Redundancy Technique.
VLSID
Sai Aparna Aketi, Joycee Mekie, Hemal Shah