Search Results for author: Dhruv Garg

Found 2 papers, 1 papers with code

SuperServe: Fine-Grained Inference Serving for Unpredictable Workloads

no code implementations • 27 Dec 2023 • Alind Khare, Dhruv Garg, Sukrit Kalra, Snigdha Grandhi, Ion Stoica, Alexey Tumanov

Serving models under such conditions requires these systems to strike a careful balance between the latency and accuracy requirements of the application and the overall efficiency of utilization of scarce resources.

Scheduling

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Flame: Simplifying Topology Extension in Federated Learning

1 code implementation • 9 May 2023 • Harshit Daga, Jaemin Shin, Dhruv Garg, Ada Gavrilovska, Myungjin Lee, Ramana Rao Kompella

We present Flame, a new system that provides flexibility of the topology configuration of distributed FL applications around the specifics of a particular deployment context, and is easily extensible to support new FL architectures.

Federated Learning

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