About
Hi — I'm Dhruv Garg, a third year PhD student in Computer Science at Georgia Tech. I am advised by Prof. Alexey Tumanov and Prof. Ada Gavrilovska.
Research
My research focuses on two parts of Systems for Machine Learning. These include Efficient ML Model Serving and Robust Federated Learning. My recent works explore:
- Efficient ML Model Serving (SuperServe[NSDI '25], MetaServe[In Preparation])
- Robust Federated Learning (FeLiX[In Preparation], FeLiX-FFL[In Preparation], Client Availability[EuroMLSys'25], Flame[SoCC'23])
- Datacenter Scheduling ([Paper Under Review])
- Edge Computing (TorqueDB[Euro-Par'20])
News
- 06/2025: Gave a talk on "Getting Started in Distributed ML" at the Systems for Machine Learning workshop at CDS, IISc Bangalore.
- 05/2025: Joined Adobe Research as a PhD Research Intern. Worked on A-Mosaic, a system to design and deploy reliable, new AI agents via efficient re-use.
- 04/2025: Presented at NSDI '25 — SuperServe: Fine-grained Inference Serving for Unpredictable Workloads.
- 03/2025: Presented at EuroMLSys '25 (co-located with EuroSys) — Client Availability in Federated Learning: It Matters!
Selected Publications
Awards
Other Service
President (Aug '25 - present). Previously Vice-President (Finance).
EuroSys 2026 (Fall)
OSDI '24, Usenix ATC '24, SOSP '24
Aug '21 - May '22
Machine Learning — Jul '19 - Nov '19
Dec '18 - Dec '19
