Sarit khirirat google scholar
Webb5 juni 2024 · Sarit Khirirat har fått ett “Best student paper award” på IEEE ICASSP för ett projekt i "Embedded optimization for real-time machine learning" inom "Wallenberg …
Sarit khirirat google scholar
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Webb30 dec. 2024 · The emergence of big data has caused a dramatic shift in the operating regime for optimization algorithms. The performance bottleneck, which used to be... Webb1 dec. 2024 · DOI: 10.1109/CDC.2024.8264077 Corpus ID: 25991419; Mini-batch gradient descent: Faster convergence under data sparsity @article{Khirirat2024MinibatchGD, title={Mini-batch gradient descent: Faster convergence under data sparsity}, author={Sarit Khirirat and Hamid Reza Feyzmahdavian and Mikael Johansson}, journal={2024 IEEE …
WebbStand on the shoulders of giants Google Scholar provides a simple way to broadly search for scholarly literature. From one place, you can search across many disciplines and … WebbFor a up-to-date list of my publications check my profile on Google Scholar. 2024. SHiFT: An Efficient, ... , Mikael Johansson, Nikola Konstantinov, Sarit Khirirat and Cedric Renggli (Authors ordered alphabetically) Neural Information Processing Systems (NeurIPS) 2024 2024. MPIML: A High-Performance Sparse Communication Layer for Machine ...
WebbGoogle Scholar. Ang Swee Hoon, Lee Yih Hwai, ... Moldovan Sarit, Goldenberg Jacob, Chattopadhyay Amitava The Different Roles of Product Originality and Usefulness in … WebbDr. Sarit Kumar Das received his PhD from Sambalpur University in 1994 and worked as Post-Doctoral Fellow at University of BW Hamburg, Germany before joining IIT Madras in 1995. He has guided over 40 Ph.D. research scholars and has published 7 books and more than 340 publications. He is one of the highest cited mechanical engineers in the country.
Webb18 juni 2024 · Sarit Khirirat, Hamid Reza Feyzmahdavian, Mikael Johansson Asynchronous computation and gradient compression have emerged as two key techniques for achieving scalability in distributed optimization for large-scale machine learning.
Webb18 juni 2024 · Sarit Khirirat, Hamid Reza Feyzmahdavian, Mikael Johansson. Asynchronous computation and gradient compression have emerged as two key techniques for … toxnet rxlistWebb7 dec. 2024 · Google Scholar; Sarit Khirirat, Hamid Reza Feyzmahdavian, and Mikael Johansson. 2024. Distributed learning with compressed gradients. arXiv preprint … toxmo electric motors private limited gstWebb18 juni 2024 · Sarit Khirirat, Hamid Reza Feyzmahdavian, Mikael Johansson. Asynchronous computation and gradient compression have emerged as two key … toxnet websiteWebbKhirirat, Sarit (författare) First-Order Algorithms for Communication Efficient Distributed Learning [Elektronisk resurs] E-bok Avhandling Engelska 2024; Förlag, utgivningsår, … toxmo electric scooterWebbGoogle Scholar; Naigang Wang, Jungwook Choi, Daniel Brand, Chia-Yu Chen, and Kailash Gopalakrishnan. ... Dan Alistarh, Torsten Hoefler, Mikael Johansson, Nikola Konstantinov, Sarit Khirirat, and Cédric Renggli. "The convergence of sparsified gradient methods." In Advances in Neural Information Processing Systems, pp. 5973-5983. 2024. toxningWebb1 dec. 2024 · Sarit Khirirat Computer Science 2024 TLDR A unified analysis framework of optimization algorithms with compressors which can be either deterministic or randomized is provided, which shows how the tuning parameters of compressed optimization algorithms must be chosen to guarantee performance. PDF View 1 excerpt toxnfill3Webb13 mars 2024 · A flexible framework for communication-efficient machine learning: from HPC to IoT Sarit Khirirat, Sindri Magnússon, Arda Aytekin, Mikael Johansson With the increasing scale of machine learning tasks, it has become essential to reduce the communication between computing nodes. toxnfill1