Marco Bornstein

prof_pic.jpg

Baltimore, Maryland

University of Maryland

Huang Research Group

Hi, my name is Marco! I’m a PhD Candidate at the University of Maryland studying Applied Mathematics.

news

Jul 31, 2024 New paper “Finding MIDDLE Ground: Scalable and Secure Distributed Learning” accepted at CIKM 2024!
May 22, 2024 New mechanism paper on eliminating federated free riding when agents are untruthful: FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding?
Dec 11, 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

selected publications

  1. Finding MIDDLE Ground: Scalable and Secure Distributed Learning
    Marco Bornstein, Nawaf Nazir, Jan Drgona, and 2 more authors
    In Conference on Information and Knowledge Management, 2024
  2. SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication
    Marco Bornstein, Tahseen Rabbani, Evan Wang, and 2 more authors
    In International Conference on Learning Representations, 2023
  3. Large-Scale Distributed Learning via Private On-Device LSH
    Marco Bornstein*, Tahseen Rabbani*, and Furong Huang
    In Thirty-seventh Conference on Neural Information Processing Systems, 2023