Marco Bornstein

Marco Bornstein

PhD Candidate in Applied Mathematics

Welcome to My (Underwhelming) Webpage

Hi, my name is Marco! I’m a PhD Candidate at the University of Maryland studying Applied Mathematics. I am advised by Dr. Furong Huang.

Recent News

DateNews
September 26th, 2024My paper FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding? was accepted at NeurIPS 2024
July 30th, 2024New paper "Finding MIDDLE Ground: Scalable and Secure Distributed Learning" accepted at CIKM 2024
December 12th, 2023 Presented work at NeurIPS 2023: (Main Track) Large-Scale Distributed Learning via Private On-Device LSH (FL Workshop) Towards Realistic Mechanisms That Incentivize Federated Participation and Contribution

Select Publications

A full list of my publications is found here.

Publications
Auction-Based Regulation for Artificial Intelligence
FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding?
SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication

Education

DegreeUniversityDates
Ph.D in Applied MathematicsUniversity of Maryland2019-2024 (Expected)
M.S. in Applied MathematicsUniversity of Maryland2019 - 2021
B.A. in Computational & Applied MathematicsRice University2015 - 2019
B.S. in Mechanical EngineeringRice University2015 - 2019

Work Experience

ExperienceCompanyDates
Graduate Research AssistantHuang Research Lab2020 - Present
Applied ML ScientistAlcority2022 - Present
Doctoral InternshipPacific Northwest National Lab2022 - 2023