1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 1 cited
Hierarchical Federated Learning with Momentum Acceleration in Multi-Tier Networks
Zhengjie Yang, Sen Fu, Wei Bao +2
In this paper, we propose Hierarchical Federated Learning with Momentum Acceleration (HierMo), a three-tier worker-edge-cloud federated learning algorithm that applies momentum for…
cs.CR2022
Intelligent Blockchain-based Edge Computing via Deep Reinforcement Learning: Solutions and Challenges
Dinh C. Nguyen, Van-Dinh Nguyen, Ming Ding +5
The convergence of mobile edge computing (MEC) and blockchain is transforming the current computing services in wireless Internet-of-Things networks, by enabling task offloading wi…
cs.LG2022★ 1 cited
Multi-Component Optimization and Efficient Deployment of Neural-Networks on Resource-Constrained IoT Hardware
Bharath Sudharsan, Dineshkumar Sundaram, Pankesh Patel +5
The majority of IoT devices like smartwatches, smart plugs, HVAC controllers, etc., are powered by hardware with a constrained specification (low memory, clock speed and processor)…