8 citations · 8 across the 3 of their papers we have counts for
3 papers
Clustered Federated Learning with Hierarchical Knowledge Distillation
Sabtain Ahmad, Meerzhan Kanatbekova, Ivona Brandic +1
Clustered Federated Learning (CFL) has emerged as a powerful approach for addressing data heterogeneity and ensuring privacy in large distributed IoT environments. By clustering cl…
ABBA-VSM: Time Series Classification using Symbolic Representation on the Edge
Meerzhan Kanatbekova, Shashikant Ilager, Ivona Brandic
In recent years, Edge AI has become more prevalent with applications across various industries, from environmental monitoring to smart city management. Edge AI facilitates the proc…
Training Computer Scientists for the Challenges of Hybrid Quantum-Classical Computing
Vincenzo De Maio, Meerzhan Kanatbekova, Felix Zilk +3
As we enter the post-Moore era, we experience the rise of various non-von-Neumann-architectures to address the increasing computational demand for modern applications, with quantum…