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of 165
pro vyhledávání: '"Indranil Gupta"'
Publikováno v:
Algorithms, Vol 15, Iss 7, p 233 (2022)
Distributed machine learning is primarily motivated by the promise of increased computation power for accelerating training and mitigating privacy concerns. Unlike machine learning on a single device, distributed machine learning requires collaborati
Externí odkaz:
https://doaj.org/article/c5ae95dd91bc4423aa51a1cc20a05e4d
Publikováno v:
IEEE Transactions on Network and Service Management. 19:2492-2505
Autor:
Lilia Tang, Chaitanya Bhandari, Yongle Zhang, Anna Karanika, Shuyang Ji, Indranil Gupta, Tianyin Xu
Publikováno v:
Proceedings of the Eighteenth European Conference on Computer Systems.
Publikováno v:
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 7:1-35
With the increasing adoption of smart home devices, users rely on device automation to control their homes. This automation commonly comes in the form of smart home routines, an abstraction available via major vendors. Yet, questions remain about how
Many tools empower analysts and data scientists to consume analysis results in a visual interface, such as a dashboard. When the underlying data changes, these results need to be updated, but this update can take a long time -- all while the user con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::089265ae4d76bd96fb2de85adff9bbf3
Publikováno v:
Formal Aspects of Computing. 31:503-540
Designers of distributed database systems face the choice between stronger consistency guarantees and better performance. A number of applications only require read atomicity (RA) (either all or none of a transaction’s updates are visible to other
Publikováno v:
EuroSys
Smart environments (homes, factories, hospitals, buildings) contain an increasing number of IoT devices, making them complex to manage. Today, in smart homes where users or triggers initiate routines (i.e., a sequence of commands), concurrent routine
Autor:
Xiaolan Ke, Jintao Jiang, Yitao Meng, Linda Cai, Indranil Gupta, Pallavi Srivastava, Beomyeol Jeon, Cong Xie
Publikováno v:
SoCC
Machine Learning graphs (or models) can be challenging or impossible to train when either devices have limited memory, or the models are large. Splitting the model graph across multiple devices, today, largely relies on learning-based approaches to g
Autor:
Shegufta Bakht Ahsan, Indranil Gupta
Publikováno v:
INFOCOM
Recently, a new class of "arbitrator-based" membership protocols have been proposed. These claim to provide time bounds on how long membership lists can stay inconsistent—this property is critical in many distributed applications which need to take
Publikováno v:
Cognitive Informatics and Soft Computing ISBN: 9789811514500
LEDs for lighting purpose have become vastly popular as it has high lumens yield with less watt consumption. Lumens differ for different tasks and locations. Our system will efficiently control the intensity of light and provide the required amount o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b67c3b35d1ff247c517d79ac321bf583
https://doi.org/10.1007/978-981-15-1451-7_38
https://doi.org/10.1007/978-981-15-1451-7_38