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Sagar Waghmare

Sagar M. Waghmare

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2020 – today

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2023
[i4]
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  - journals/corr/abs-2309-12172
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  - https://dblp.org/rec/journals/corr/abs-2309-12172
Sagar M. Waghmare, Kimberly Wilber, Dave Hawkey, Xuan Yang, Matthew Wilson, Stephanie Debats, Cattalyya Nuengsigkapian, Astuti Sharma, Lars Pandikow, Huisheng Wang, Hartwig Adam, Mikhail Sirotenko:
SANPO: A Scene Understanding, Accessibility, Navigation, Pathfinding, Obstacle Avoidance Dataset. CoRR abs/2309.12172 (2023)
2022
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  - journals/corr/abs-2201-11865
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Jianyu Wang, Hang Qi, Ankit Singh Rawat, Sashank J. Reddi, Sagar Waghmare, Felix X. Yu, Gauri Joshi:
FedLite: A Scalable Approach for Federated Learning on Resource-constrained Clients. CoRR abs/2201.11865 (2022)
[i2]
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  - journals/corr/abs-2203-04888
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Sagar M. Waghmare, Hang Qi, Huizhong Chen, Mikhail Sirotenko, Tomer Meron:
Efficient Image Representation Learning with Federated Sampled Softmax. CoRR abs/2203.04888 (2022)

2010 – 2019

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2015
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  - journals/corr/LeonardWW15
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Nicholas Léonard, Sagar Waghmare, Yang Wang, Jin-Hwa Kim:
rnn : Recurrent Library for Torch. CoRR abs/1511.07889 (2015)

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