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of 1 147
pro vyhledávání: '"P Chellapandi"'
A novel Decentralized Noisy Model Update Tracking Federated Learning algorithm (FedNMUT) is proposed that is tailored to function efficiently in the presence of noisy communication channels that reflect imperfect information exchange. This algorithm
Externí odkaz:
http://arxiv.org/abs/2403.13247
In the landscape of technological innovation, autonomous racing is a dynamic and challenging domain that not only pushes the limits of technology, but also plays a crucial role in advancing and fostering a greater acceptance of autonomous systems. Th
Externí odkaz:
http://arxiv.org/abs/2402.02603
Autor:
Yuan, Liangqi, Han, Dong-Jun, Chellapandi, Vishnu Pandi, Żak, Stanislaw H., Brinton, Christopher G.
Multimodal federated learning (FL) aims to enrich model training in FL settings where devices are collecting measurements across multiple modalities (e.g., sensors measuring pressure, motion, and other types of data). However, key challenges to multi
Externí odkaz:
http://arxiv.org/abs/2310.07048
Autor:
Chellapandi, Vishnu Pandi, Yuan, Liangqi, Brinton, Christopher G., Zak, Stanislaw H, Wang, Ziran
Machine learning (ML) is widely used for key tasks in Connected and Automated Vehicles (CAV), including perception, planning, and control. However, its reliance on vehicular data for model training presents significant challenges related to in-vehicl
Externí odkaz:
http://arxiv.org/abs/2308.10407
Decentralized learning and optimization is a central problem in control that encompasses several existing and emerging applications, such as federated learning. While there exists a vast literature on this topic and most methods centered around the c
Externí odkaz:
http://arxiv.org/abs/2303.10695
Connected and Automated Vehicles (CAVs) are one of the emerging technologies in the automotive domain that has the potential to alleviate the issues of accidents, traffic congestion, and pollutant emissions, leading to a safe, efficient, and sustaina
Externí odkaz:
http://arxiv.org/abs/2303.10677
Publikováno v:
Medicine in Omics, Vol 12, Iss , Pp 100040- (2024)
Clostridium botulinum strain Hall produces potent botulinum neurotoxin type A1, which causes food-borne, infant, and wound botulism in humans. Antibiotics and botulinum antitoxins can control growth and prevent botulinum toxicity. However, limited in
Externí odkaz:
https://doaj.org/article/bff25611fff74b46b9d954afacf1b70c
Publikováno v:
Medicine in Omics, Vol 11, Iss , Pp 100038- (2024)
Currently, vaccines have shown efficacy against new SARS-CoV-2 variants. This study aimed to develop a systems medicine framework that can predict and validate drug combinations that can be repurposed for treating COVID-19 and its comorbidities, spec
Externí odkaz:
https://doaj.org/article/27709a14c2484e0c8581a1905fd23491
Autor:
Wadekar, Shakti N., Schwartz, Benjamin J., Kannan, Shyam S., Mar, Manuel, Manna, Rohan Kumar, Chellapandi, Vishnu, Gonzalez, Daniel J., Gamal, Aly El
Deep Neural Networks (DNNs) which are trained end-to-end have been successfully applied to solve complex problems that we have not been able to solve in past decades. Autonomous driving is one of the most complex problems which is yet to be completel
Externí odkaz:
http://arxiv.org/abs/2105.01799
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