SymbioticLab

University of Michigan

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  • Publications
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  • Funding
  • Open Source

SymbioticLab focuses on large-scale data systems that can yield order-of-magnitude performance and efficiency improvements. We tailor existing Big Data and AI/ML applications and design new ones to best leverage their underlying infrastructure. This boils down to three operating regimes: single-microsecond latency within a rack, single-millisecond latency within a datacenter, and hundreds-of-milliseconds latency across the world.

Overview

Learn about openings in ongoing projects if you’re already in Michigan.

News

2021-07-09
NSF Award to Expand Our Federated Learning Research!
2021-06-07
Justitia Accepted to Appear at NSDI'2022. Congrats Yiwen!
2021-05-30
FedScale Released on GitHub
2021-05-04
AIFO Accepted to Appear at SIGCOMM'2021
2021-04-10
Treehouse Funded. Thanks NSF and VMware!
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