8 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.DC2026
Brief Announcement: Generative Markov Model for Distributed Computing Systems
Alfreds Lapkovskis, Ali Beikmohammadi, Sindri Magnússon +1
Emerging distributed computing paradigms, such as the computing continuum, are inherently heterogeneous, stochastic, and complex. Efficiently and effectively utilizing all availabl…
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…