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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.1//EN"
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<title>Selected Publications</title>
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<body>
<table summary="Table for page layout." id="tlayout">
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<td id="layout-menu">
<div class="menu-category">Vipul Gupta</div>
<div class="menu-item"><a href="index.html">Home</a></div>
<div class="menu-item"><a href="https://people.eecs.berkeley.edu/~vipul_gupta/CV_Vipul.pdf">Brief CV</a></div>
<div class="menu-item"><a href="pubs.html">Publications</a></div>
<div class="menu-category">Miscellaneous</div>
<div class="menu-item"><a href="fun.html">Fun</a></div>
</td>
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<div id="toptitle">
<h1>Selected Publications</h1>
</div>
<ul>
<li><p><b>V. Gupta</b>, D. Choudhary, P. Tang, X. Wei, X. Wang, Y. Huang, A. Kejariwal, K. Ramchandran and M. Mahoney,<br />
“<a href="https://research.fb.com/wp-content/uploads/2021/08/Training-Recommender-Systems-at-Scale-Communication-Efficient-Model-and-Data-Parallelism.pdf" target=”blank“>Training Recommender Systems at Scale: Communication-Efficient Model and Data Parallelism</a>”,<br />
<i>Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD), 2021</i> <br />
</p>
</li>
</ul>
<ul>
<li><p><b>V. Gupta</b>, S. Akle, and D. DeCoste, <br />
“<a href="https://openreview.net/forum?id=rygFWAEFwS" target=”blank“>Stochastic Weight Averaging in Parallel: Large-batch Training that Generalizes Well</a>”, <br />
<i>International Conference on Learning Representations (ICLR), Addis Ababa, Ethiopia, 2020</i>
</p>
</li>
</ul>
<ul>
<li><p><b>V. Gupta</b>, A. Ghosh, M. Derenzinski, R. Khanna, K. Ramchandran and M. Mahoney,<br />
“<a href="https://arxiv.org/abs/2105.07320" target=”blank“>LocalNewton: Reducing Communication Bottleneck for Distributed Learning</a>”,<br />
“LocalNewton: Reducing Communication Rounds for Distributed Learning”,<br />
<i>Uncertainty in Artificial Intelligence (UAI), 2021</i> <br />
</p>
</li>
</ul>
<ul>
<li><p><b>V. Gupta</b>, D. Carrano, Y. Yang, V. Shankar, T. Courtade, and K. Ramchandran <br />
“<a href="https://arxiv.org/pdf/2001.07490.pdf" target=”blank“>Serverless Straggler Mitigation using Local
Error-Correcting Codes</a>”, <br />
<i>IEEE International Conference on Distributed Computing Systems, Singapore, 2020</i> <br />
<b>Best Paper Award Runner-up</b> (Top 3 out of 584 submissions)<br />
<a href="https://github.com/vvipgupta/serverless-straggler-mitigation" target=“blank”>[Code]</a>
</p>
</li>
</ul>
<ul>
<li><p>A. Aghazadeh, <b>V. Gupta</b>, A. DeWeese, O. Koyluoglu, and K. Ramchandran <br />
<a href="https://arxiv.org/pdf/2010.13829.pdf" target=“blank”>“BEAR: Sketching BFGS Algorithm for Ultra-High Dimensional Feature Selection in Sublinear Memory”</a>, <br />
<i>Mathematical and Scientific Machine Learning (MSML), 2021</i> <br />
<a href="https://github.com/BEAR-algorithm/BEAR" target=“blank”>[Code]</a>
</p>
</li>
</ul>
<ul>
<li><p><b>V. Gupta</b>, S. Padhe, T. Courtade, and K. Ramchandran,<br />
“<a href="https://arxiv.org/pdf/2008.07793.pdf" target=”blank“>Utility-based Resource Allocation and Pricing for Serverless Computing</a>”,<br />
<i>Under Review, 2020</i> <br />
<a href="https://github.com/vvipgupta/serverless-resource-allocation-and-pricing" target=“blank”>[Code]</a> <br />
</p>
</li>
</ul>
<ul>
<li><p><b>V. Gupta</b>, S. Kadhe, T. Courtade, M. Mahoney, and K. Ramchandran,<br />
“<a href="https://arxiv.org/pdf/1903.08857.pdf" target=”blank“>OverSketched Newton: Fast Convex Optimization for Serverless Systems</a>”,<br />
<i>IEEE International Conference on Big Data, 2020</i> <br />
<a href="https://github.com/vvipgupta/OverSketchedNewton" target=“blank”>[Code]</a> <br />
(Also a <b>Spotlight Presentation</b>, ICML Workshop 2019 <a href="https://slideslive.com/38917775" target=“blank”>[Video]</a>)
</p>
</li>
</ul>
<ul>
<li><p><b>V. Gupta</b>, S. Wang, T. Courtade, and K. Ramchandran,<br />
“<a href="https://arxiv.org/pdf/1811.02653.pdf" target=”blank“>OverSketch: Approximate Matrix Multiplication for the Cloud</a>”,<br />
<i>IEEE International Conference on Big Data, Seattle, WA, USA, 2018</i> <br />
<a href="https://github.com/vvipgupta/OverSketch" target=“blank”>[Code]</a>
</p>
</li>
</ul>
<ul>
<li><p>J. Zhu, Y. Pu, <b>V. Gupta</b>, C. Tomlin, and K. Ramchandran,<br />
“<a href="https://arxiv.org/pdf/1710.09001.pdf" target=”blank“>A sequential approximation framework for coded distributed optimization</a>,” <br />
<i>IEEE 55th Annual Allerton Conference Communication, Control, and Computing (Allerton)</i>, 2017
</p>
</li>
</ul>
<ul>
<li><p>S. Kafle, <b>V. Gupta</b>, B. Kailkhura, T. Wimalajeewa and P. K. Varshney,<br />
“<a href="https://ieeexplore.ieee.org/abstract/document/8360527/" target=”blank“>Joint Sparsity Pattern Recovery with 1-bit Compressive Sensing in Distributed Sensor Networks</a>,”
<br /> <i>IEEE Transactions on Signal and Information Processing over Networks</i>, 2018
</p>
</li>
</ul>
<ul>
<li><p><b>V. Gupta</b>, S. S. Kalamkar and A. Banerjee,<br />
“<a href="https://arxiv.org/pdf/1708.07989.pdf" target=”blank“>On Secure Communication Using RF Energy Harvesting Two-Way Untrusted Relay</a>,”<br />
<i>IEEE Global Communications Conference (GLOBECOM)</i>, Singapore, 2017
</p>
</li>
</ul>
<ul>
<li><p>C. Aprile, L. Baldassarre, <b>V. Gupta</b>, J. Yoo, M. Shoaran, Y. Leblebici and V. Cevher,<br />
“<a href="https://infoscience.epfl.ch/record/215377/files/gls_vlsi.pdf" target=”blank“>Learning-based near-optimal area-power trade-offs in hardware design for neural signal acquisition</a>,”
<br /> <i>ACM Inter. Conference on Green Lakes Symposium on VLSI (GLSVLSI)</i> 2016, Boston, USA.
</p>
</li>
</ul>
<ul>
<li><p><b>V. Gupta</b>, A. K. Sah and A. K. Chaturvedi,<br />
“<a href="https://arxiv.org/pdf/1509.02405.pdf" target=”blank“>Iterative Matrix Inversion Based Low Complexity Detection in Large<i>Massive MIMO Systems</a>”,<br />
</i>IEEE International Conference on Communications (ICC) Workshops 2016, Kuala Lumpur, Malaysia
</p>
</li>
</ul>
<ul>
<li><p><b>V. Gupta</b>, B. Kailkhura, T. Wimalajeewa and P. K. Varshney,<br />
“<a href="https://arxiv.org/pdf/1506.00540.pdf" target=”blank“>Joint Sparsity Pattern Recovery with 1-bit Compressive Sensing in Sensor Networks</a>”,
<br /> <i>Proc. of the Asilomar Conference on Signals, Systems, and Computers</i> 2015, Pacific Grove, CA, USA
</p>
</li>
</ul>
<h4><a href="https://scholar.google.com/citations?hl=en&user=c1xeyA0AAAAJ" target=“blank”>Google scholar profile</a></h4>
</td>
</tr>
</table>
</body>
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