1 citations · 1 across the 4 of their papers we have counts for
4 papers
A Survey of Federated Evaluation in Federated Learning
Behnaz Soltani, Yipeng Zhou, Venus Haghighi +1
In traditional machine learning, it is trivial to conduct model evaluation since all data samples are managed centrally by a server. However, model evaluation becomes a challenging…
A Comprehensive Survey on Graph Summarization with Graph Neural Networks
Nasrin Shabani, Jia Wu, Amin Beheshti +5
As large-scale graphs become more widespread, more and more computational challenges with extracting, processing, and interpreting large graph data are being exposed. It is therefo…
GCN-based Multi-task Representation Learning for Anomaly Detection in Attributed Networks
Venus Haghighi, Behnaz Soltani, Adnan Mahmood +2
Anomaly detection in attributed networks has received a considerable attention in recent years due to its applications in a wide range of domains such as finance, network security,…
A Survey on Participant Selection for Federated Learning in Mobile Networks
Behnaz Soltani, Venus Haghighi, Adnan Mahmood +2
Federated Learning (FL) is an efficient distributed machine learning paradigm that employs private datasets in a privacy-preserving manner. The main challenges of FL is that end de…