9 citations · 13 across the 4 of their papers we have counts for
4 papers
R-CONV: An Analytical Approach for Efficient Data Reconstruction via Convolutional Gradients
Tamer Ahmed Eltaras, Qutaibah Malluhi, Alessandro Savino +3
In the effort to learn from extensive collections of distributed data, federated learning has emerged as a promising approach for preserving privacy by using a gradient-sharing mec…
LocationSpark: In-memory Distributed Spatial Query Processing and Optimization
Mingjie Tang, Yongyang Yu, Walid G. Aref +3
Due to the ubiquity of spatial data applications and the large amounts of spatial data that these applications generate and process, there is a pressing need for scalable spatial q…
Similarity Group-by Operators for Multi-dimensional Relational Data
Mingjie Tang, Ruby Y. Tahboub, Walid G. Are +4
The SQL group-by operator plays an important role in summarizing and aggregating large datasets in a data analytic stack.While the standard group-by operator, which is based on equ…
On Order-independent Semantics of the Similarity Group-By Relational Database Operator
Mingjie Tang, Ruby Y. Tahboub, Walid G. Aref +2
Similarity group-by (SGB, for short) has been proposed as a relational database operator to match the needs of emerging database applications. Many SGB operators that extend SQL ha…