UROP Research Mentor Project Submission Portal: Submission #931

Submission information
Submission Number: 931
Submission ID: 15281
Submission UUID: 834f6126-ef00-4b14-bb5b-d75779126f7f

Created: Mon, 08/19/2024 - 11:12 PM
Completed: Mon, 08/19/2024 - 11:20 PM
Changed: Mon, 08/26/2024 - 02:18 PM

Remote IP address: 96.255.35.246
Submitted by: Anonymous
Language: English

Is draft: No
Primary Research Mentor Name Marcos Muller Vasconcelos
Research Mentor Preferred Pronouns He/Him/His
When potential research assistants are reaching out via email, what is your preferred honorific? Dr.
Contact Email (FSU Email if affiliated) m.vasconcelos@fsu.edu
Position Title Faculty
FSU College (if applicable) FAMU-FSU College of Engineering
FSU Department or Non-FSU Organization Affiliation Electrical and Computer Engineering
Headshot (optional) marcos.jpeg
Research Assistant Supervisor (if different from above)
Research Assistant Supervisor Preferred Pronouns
Research Assistant Supervisor Preferred Honorific?
Contact Email (FSU Email if affiliated)
Name of Other Faculty/Collaborator(s) (if applicable)
Other Faculty/Collaborator(s) Preferred Pronouns
Other Faculty/Collaborator(s) Preferred Honorific?
Contact Email (FSU Email if affiliated)
Title of the Project A new system architecture for faster distributed machine learning based on maximum disagreement
Project Keywords Machine Learning, Internet of Things, Optimization, Tiny ML
Are you currently looking for research assistants? Yes
Number of Research Assistants Needed 2
Relevant Research Assistant Major(s) Electrical Engineering
Computer Engineering
Computer Science
Mathematics
Statistics
Project Location: FAMU-FSU College of Engineering
If the project location is off campus, does the research assistant(s) need to provide their own transportation? Yes
Please select the choice that most accurately describes your expectations for the research assistant(s): Partially Remote
Approximately how many hours a week would the research assistant(s) need to work? 5-10 hours a week
Roughly what time frame do you expect research assistant(s) to work? Flexible schedule (Combination of business and outside of business. TBD between student and research mentor.)
Overall Research Project Description The Internet of Things (IoT) -- a complex ecosystem that interconnects smartphones, tablets, machine-type devices, people, and mundane objects into a large-scale network -- has flooded the world with inexpensive devices that collect, store, process and communicate data at unprecedented volumes. Although the cost of sensing and storing data is relatively small, the power required to process and share data is often large and restrictive. Therefore, it is imperative to identify, process, and transmit only the most informative data. The adoption of cleverly designed data selection policies allows concurrent applications to run on limited shared resources, leading in enhanced efficiency and economic gains. In the case of IoT, even modest gains in performance mount quickly due to the massive scale of the system.

The overall goal of this project is to develop a new system architecture for the selection of the most informative data in multi-agent networks based on the novel notion of Maximum Disagreement and its application in distributed machine learning with IoT devices, as well as implementation in a combination of client-server and peer-to-peer networks. The rationale for the work is twofold: First, we will design a new distributed algorithm based on Maximum Disagreement for machine learning that operates in two layers -- a local network and the cloud infrastructure. Secondly, we will implement this new system in a real testbed using TinyML devices under strict communication constraints while ensuring privacy and robustness guarantees. Achieving these objectives could significantly improve performance and convergence speed, particularly in large-scale commercial distributed systems.
Research Tasks Literature Review
Programming Tiny ML/IoT devices
Computer Simulations
Communication Networks
Data Collection and Analysis
Skills that research assistant(s) may need: Machine Learning
Wireless Communication Networks
Tinkering
Problem-Solving
Mentoring Philosophy Our mentoring philosophy centers on empowering students to gain confidence in their ideas and nurturing their creativity. At the MINDS lab, we embrace the motto that there is no limit to what the human mind can accomplish and that the world of ideas offers an infinite number of low-hanging fruits. Currently, our lab supports a diverse group of researchers, including five undergraduate students, two PhD students, and one postdoc. We believe that a diverse team representing a wide spectrum of backgrounds and perspectives leads to more innovative work, thereby contributing to the broadening of participation of underrepresented groups in the scientific community and society as a whole.
Please provide a link to your publications, a video clip, or a website for your research project (if applicable):
Please add any additional information here (if applicable):
Are you interested in participating in the UROP Research Mentor Roundtable? No
Roundtable times and Zoom links
Mentor Handbook, FAQs, and Communication Yes
UROP Performance Evaluation Yes
Materials Grant Yes
UROP Poster Presentation Yes
Year 2024
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