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Sai Aparna Aketi
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2020 – today
- 2024
- [j6]Sakshi Choudhary, Sai Aparna Aketi, Gobinda Saha, Kaushik Roy:
CoDeC: Communication-Efficient Decentralized Continual Learning. Trans. Mach. Learn. Res. 2024 (2024) - [j5]Deepak Ravikumar, Gobinda Saha, Sai Aparna Aketi, Kaushik Roy:
Homogenizing Non-IID Datasets via In-Distribution Knowledge Distillation for Decentralized Learning. Trans. Mach. Learn. Res. 2024 (2024) - [c4]Sai Aparna Aketi, Sakshi Choudhary, Kaushik Roy:
Averaging Rate Scheduler for Decentralized Learning on Heterogeneous Data. Tiny Papers @ ICLR 2024 - [c3]Sai Aparna Aketi, Kaushik Roy:
Cross-feature Contrastive Loss for Decentralized Deep Learning on Heterogeneous Data. WACV 2024: 12-21 - [i15]Sai Aparna Aketi, Sakshi Choudhary, Kaushik Roy:
Averaging Rate Scheduler for Decentralized Learning on Heterogeneous Data. CoRR abs/2403.03292 (2024) - [i14]Timur Ibrayev, Amitangshu Mukherjee, Sai Aparna Aketi, Kaushik Roy:
Towards Two-Stream Foveation-based Active Vision Learning. CoRR abs/2403.15977 (2024) - [i13]Sai Aparna Aketi, Abolfazl Hashemi, Kaushik Roy:
AdaGossip: Adaptive Consensus Step-size for Decentralized Deep Learning with Communication Compression. CoRR abs/2404.05919 (2024) - [i12]Sakshi Choudhary, Sai Aparna Aketi, Kaushik Roy:
SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data. CoRR abs/2405.13961 (2024) - 2023
- [j4]Sai Aparna Aketi, Sangamesh Kodge, Kaushik Roy:
Neighborhood Gradient Mean: An Efficient Decentralized Learning Method for Non-IID Data. Trans. Mach. Learn. Res. 2023 (2023) - [c2]Sai Aparna Aketi, Abolfazl Hashemi, Kaushik Roy:
Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data. NeurIPS 2023 - [i11]Sakshi Choudhary, Sai Aparna Aketi, Gobinda Saha, Kaushik Roy:
CoDeC: Communication-Efficient Decentralized Continual Learning. CoRR abs/2303.15378 (2023) - [i10]Deepak Ravikumar, Gobinda Saha, Sai Aparna Aketi, Kaushik Roy:
Homogenizing Non-IID datasets via In-Distribution Knowledge Distillation for Decentralized Learning. CoRR abs/2304.04326 (2023) - [i9]Sai Aparna Aketi, Abolfazl Hashemi, Kaushik Roy:
Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data. CoRR abs/2305.04792 (2023) - [i8]Sai Aparna Aketi, Kaushik Roy:
Cross-feature Contrastive Loss for Decentralized Deep Learning on Heterogeneous Data. CoRR abs/2310.15890 (2023) - 2022
- [j3]Sai Aparna Aketi, Sangamesh Kodge, Kaushik Roy:
Low precision decentralized distributed training over IID and non-IID data. Neural Networks 155: 451-460 (2022) - [i7]Sai Aparna Aketi, Sangamesh Kodge, Kaushik Roy:
Neighborhood Gradient Clustering: An Efficient Decentralized Learning Method for Non-IID Data Distributions. CoRR abs/2209.14390 (2022) - 2021
- [i6]Sai Aparna Aketi, Amandeep Singh, Jan M. Rabaey:
Sparse-Push: Communication- & Energy-Efficient Decentralized Distributed Learning over Directed & Time-Varying Graphs with non-IID Datasets. CoRR abs/2102.05715 (2021) - [i5]Sai Aparna Aketi, Sangamesh Kodge, Kaushik Roy:
Low Precision Decentralized Distributed Training with Heterogeneous Data. CoRR abs/2111.09389 (2021) - 2020
- [j2]Sai Aparna Aketi, Sourjya Roy, Anand Raghunathan, Kaushik Roy:
Gradual Channel Pruning While Training Using Feature Relevance Scores for Convolutional Neural Networks. IEEE Access 8: 171924-171932 (2020) - [j1]Sai Aparna Aketi, Smriti Gupta, Huimei Cheng, Joycee Mekie, Peter A. Beerel:
SERAD: Soft Error Resilient Asynchronous Design Using a Bundled Data Protocol. IEEE Trans. Circuits Syst. I Fundam. Theory Appl. 67-I(5): 1667-1677 (2020) - [i4]Sai Aparna Aketi, Smriti Gupta, Huimei Cheng, Joycee Mekie, Peter A. Beerel:
SERAD: Soft Error Resilient Asynchronous Design using a Bundled Data Protocol. CoRR abs/2001.04039 (2020) - [i3]Sai Aparna Aketi, Sourjya Roy, Anand Raghunathan, Kaushik Roy:
Gradual Channel Pruning while Training using Feature Relevance Scores for Convolutional Neural Networks. CoRR abs/2002.09958 (2020) - [i2]Sai Aparna Aketi, Priyadarshini Panda, Kaushik Roy:
Relevant-features based Auxiliary Cells for Energy Efficient Detection of Natural Errors. CoRR abs/2002.11052 (2020)
2010 – 2019
- 2019
- [i1]Priyadarshini Panda, Sai Aparna Aketi, Kaushik Roy:
Towards Scalable, Efficient and Accurate Deep Spiking Neural Networks with Backward Residual Connections, Stochastic Softmax and Hybridization. CoRR abs/1910.13931 (2019) - 2018
- [c1]Sai Aparna Aketi, Joycee Mekie, Hemal Shah:
Single-Error Hardened and Multiple-Error Tolerant Guarded Dual Modular Redundancy Technique. VLSID 2018: 250-255
Coauthor Index
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