1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Edge AI Collaborative Learning: Bayesian Approaches to Uncertainty Estimation
Gleb Radchenko, Victoria Andrea Fill
Recent advancements in edge computing have significantly enhanced the AI capabilities of Internet of Things (IoT) devices. However, these advancements introduce new challenges in k…
cs.DC2024★ 1 cited
Uncertainty Estimation in Multi-Agent Distributed Learning for AI-Enabled Edge Devices
Gleb Radchenko, Victoria Andrea Fill
Initially considered as low-power units with limited autonomous processing, Edge IoT devices have seen a paradigm shift with the introduction of FPGAs and AI accelerators. This adv…
cs.DC2023
Uncertainty Estimation in Multi-Agent Distributed Learning
Gleb Radchenko, Victoria Andrea Fill
Traditionally, IoT edge devices have been perceived primarily as low-power components with limited capabilities for autonomous operations. Yet, with emerging advancements in embedd…