SymbioticLab

University of Michigan

  • Research
  • Publications
  • People
  • 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

2022-05-20
Mosharaf Promoted to Associate Professor With Tenure!
2022-05-15
FedScale Accepted to Appear at ICML'2022. Congrats Fan, Yinwei, Sanjay, Jiachen, and Xiangfeng!
2022-05-07
Aequitas Accepted to Appear at SIGCOMM'2022. Congrats Yiwen!
2022-05-01
Thanks Cisco for Sponsoring Our FL Research
2022-01-06
Treehouse White Paper Released!
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