most citedFederated Domain Generalization: A Survey

35 citations · 70 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2023★ 8 cited

CommunityAI: Towards Community-based Federated Learning

Ilir Murturi, Praveen Kumar Donta, Schahram Dustdar

Federated Learning (FL) has emerged as a promising paradigm to train machine learning models collaboratively while preserving data privacy. However, its widespread adoption faces s…

cs.CR2023★ 3 cited

Blockchain-based Zero Trust on the Edge

Cem Bicer, Ilir Murturi, Praveen Kumar Donta +1

Internet of Things (IoT) devices pose significant security challenges due to their heterogeneity (i.e., hardware and software) and vulnerability to extensive attack surfaces. Today…

cs.DC2023★ 11 cited

Collaborative Inference in DNN-based Satellite Systems with Dynamic Task Streams

Jinglong Guan, Qiyang Zhang, Ilir Murturi +3

As a driving force in the advancement of intelligent in-orbit applications, DNN models have been gradually integrated into satellites, producing daily latency-constraint and comput…

cs.LG2023★ 35 cited

Federated Domain Generalization: A Survey

Ying Li, Xingwei Wang, Rongfei Zeng +4

Machine learning typically relies on the assumption that training and testing distributions are identical and that data is centrally stored for training and testing. However, in re…

q-fin.GN2019★ 13 cited

Sabrina: Modeling and Visualization of Economy Data with Incremental Domain Knowledge

Alessio Arleo, Christos Tsigkanos, Chao Jia +7

Investment planning requires knowledge of the financial landscape on a large scale, both in terms of geo-spatial and industry sector distribution. There is plenty of data available…