Welcome to cs249r_book Discussions! #35
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Hello, my name is Jeremy Ellis. You can find me on GitHub at https://github.com/hpssjellis and on LinkedIn at https://www.linkedin.com/in/jeremy-ellis-4237a9bb/ I've been creating neural networks for nearly 30 years and teaching high school machine learning for 8 years. Where I lack in book writing skills, I excel in simplifying ML concepts for teaching. In the cs249r_book, several chapters have discussed the security advantages of tinyML. You can explore these insights in the following links: embedded_sys.qmd Line 61 in d9c33af embedded_ml.qmd Lines 154 to 156 in d9c33af and also Line 204 in d9c33af However, it's worth noting that these chapters don't seem to mention that most tinyML models are created on cloud platforms. This inherently poses a security risk, as data is transferred during the training process, and there are questions about the handling of that data while it resides on the cloud. My particular area of interest revolves around streamlining the process of efficiently developing client-side machine learning models for tinyML. The question at hand is whether the construction of tinyML models is as secure as we assume, and if there are alternative approaches worth considering? |
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Hi all, Jared Ping here from South Africa. Group Technical Manager at Digital Matter, where we have a huge focus on the energy efficiency of battery-powered tracking devices in a range of applications (TinyML included!). Currently pursuing a part-time MSc(Eng) Electrical Engineering at the University of the Witwatersrand, specialising in operational optimisation of TinyML systems. Very excited to see the TinyML community grow, and this book is a great resource for introducing peers to it! |
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Hello everyone, My name is Ethan Wang, a Master's student in Software Engineering at North China Electric Power University. My journey in the tech world is driven by a profound passion for operating systems (OS) and the burgeoning field of Tiny Machine Learning (TinyML). The challenge of maximizing the capabilities of limited resources to achieve seemingly limitless tasks fascinates me. Currently, I am interning at Megatronix, where I am honing my skills in system stability, a crucial aspect of software engineering that aligns closely with my interests in OS and TinyML. My Main Interests:
Future Aspirations:My immediate goal is to deepen my understanding and expertise in OS and TinyML through practical experiences and academic research. However, looking ahead, I am also setting my sights on opportunities to study and work abroad. I believe that pursuing further education and professional experiences abroad will not only broaden my horizons but also provide me with a unique perspective on global technological challenges and innovations. Contributions to the Community:
Additional Links:
I am looking forward to engaging with this community, learning from you all, and contributing where I can. Thank you for welcoming me into this vibrant space! |
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Nice to see that this is an active repo and work in progress with commits as latest as yesterday! |
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Welcome Seshu, please feel free to share any thoughts and feedback you may
have. We have some exciting new updates coming through!
Vijay Janapa Reddi, Ph. D. |
John L. Loeb Associate Professor of Engineering and Applied Sciences |
John A. Paulson School of Engineering and Applied Sciences |
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…On Fri, Mar 22, 2024 at 8:17 PM, Seshu-R ***@***.***> wrote:
Nice to this that this is an active repo and work in progress with commits
as latest as yesterday!
Just started reading.
Hope to see Exercises and Labs soon. Thanks in advance for all the efforts
and helping the broader community.
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👋 Welcome!
We’re using Discussions as a place to connect with other members of our community. We hope that you:
build together 💪.
To get started, comment below with an introduction of yourself and tell us about what you do with this community.
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