no code implementations • 8 Sep 2023 • Jin Heo, Gregorie Phillips, Per-Erik Brodin, Ada Gavrilovska
In this work, we present an interpolation algorithm improving the quality of a LiDAR point cloud to mitigate the perception performance loss due to lossy compression.
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.
no code implementations • 27 Aug 2021 • Harshit Daga, YiWen Chen, Aastha Agrawal, Ada Gavrilovska
For highly distributed environments such as edge computing, collaborative learning approaches eschew the dependence on a global, shared model, in favor of models tailored for each location.
no code implementations • 11 Mar 2021 • Girish Mururu, Chao Chen, Chris Porter, Santosh Pande, Ada Gavrilovska
Typical schedulers in multi-tenancy environments make use of reactive, feedback-oriented mechanisms based on performance counters to avoid resource contention but suffer from detection lag and loss of performance.
Distributed, Parallel, and Cluster Computing
1 code implementation • 1 Dec 2018 • Tony Mason, Ada Gavrilovska, David A. Joyner
We outline how we detected programming plagiarism in an introductory online course for a master's of science in computer science program, how we achieved a statistically significant reduction in programming plagiarism by combining a clear explanation of university and class policy on academic honesty reinforced with a short but formal assessment, and how we evaluated plagiarism rates before SIGand after implementing our policy and assessment.
Computers and Society