activity
20052023
most citedAsynchronous Federated Optimization

434 citations · 851 across the 20 of their papers we have counts for

collaborators

20 papers

cs.DC2023★ 1 cited

Dirigo: Self-scaling Stateful Actors For Serverless Real-time Data Processing

Le Xu, Divyanshu Saxena, Neeraja J. Yadwadkar +2

We propose Dirigo, a distributed stream processing service built atop virtual actors. Dirigo achieves both a high level of resource efficiency and performance isolation driven by u…

cs.DC2023

CoMesh: Fully-Decentralized Control for Sense-Trigger-Actuate Routines in Edge Meshes

Anna Karanika, Rui Yang, Xiaojuan Ma +3

While mesh networking for edge settings (e.g., smart buildings, farms, battlefields, etc.) has received much attention, the layer of control over such meshes remains largely centra…

cs.DB2023

Transactional Panorama: A Conceptual Framework for User Perception in Analytical Visual Interfaces

Dixin Tang, Alan Fekete, Indranil Gupta +1

Many tools empower analysts and data scientists to consume analysis results in a visual interface, such as a dashboard. When the underlying data changes, these results need to be u…

cs.DC2023★ 1 cited

Baechi: Fast Device Placement of Machine Learning Graphs

Beomyeol Jeon, Linda Cai, Chirag Shetty +6

Machine Learning graphs (or models) can be challenging or impossible to train when either devices have limited memory, or models are large. To split the model across devices, learn…

cs.DB2022

Banyan: A Scoped Dataflow Engine for Graph Query Service

Li Su, Xiaoming Qin, Zichao Zhang +6

Graph query services (GQS) are widely used today to interactively answer graph traversal queries on large-scale graph data. Existing graph query engines focus largely on optimizing…

cs.DC2020★ 1 cited

Move Fast and Meet Deadlines: Fine-grained Real-time Stream Processing with Cameo

Le Xu, Shivaram Venkataraman, Indranil Gupta +2

Resource provisioning in multi-tenant stream processing systems faces the dual challenges of keeping resource utilization high (without over-provisioning), and ensuring performance…