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Trustable Deep Learning with ByteSpark
ByteSpark is a Vancouver based company offering a decentralized approach to deep learning. Our solution aims to give the power of decision making back to the data owner. We aim to bring deep learning models to the user's device rather than the data owner uploading the data to a central server. Our team members are blockchain enthusiasts who have been developing decentralized projects. We understand that every client is different and we are committed to providing pur expertise dilligently. Contact us to request a demo or meet a member of our team.
Tools used in the project
With our solution, we aim to bring the Deep Learning model to the user rather than the other way around. We use technologies like Ethereum and Pytorch to create decentralized deep learning models. With our innovative and insightful technology, we strive to enhance user's control over their own data while maintaining a global model in a private ecosystem. Founded in 2021, our incredible team is comprised of engineers and researchers who have worked tirelessly to create ByteSpark. Get in touch to learn more.
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Meet the members
Dr. Zehua Wang
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Dr. Zehua Wang received his Ph.D. degree from The University of British
Columbia (UBC), Vancouver in 2016. Now, he is an Adjunct Professor in
the Department of Electrical and Computer Engineering at UBC, Vancouver
and the CEO of ByteSpark Technology Ltd., BC, Canada. He was the Chief
Scientist for the RightMesh Project in Left Technologies Inc., BC, Canada,
Garima Aggarwal
Garima is a machine learning engineer who has finished her Master of Engineering in Computer Engineering from the University of British Columbia. Her focus during her time at UBC was on developing Blockchain solutions for decentralized computer vision algorithms.
It's time to give back the control to data owners