81 citations · 153 across the 23 of their papers we have counts for
7 papers · 1 filter
Age-Based Scheduling Policy for Federated Learning in Mobile Edge Networks
Howard H. Yang, Ahmed Arafa, Tony Q. S. Quek +1
Federated learning (FL) is a machine learning model that preserves data privacy in the training process. Specifically, FL brings the model directly to the user equipments (UEs) for…
Locally Adaptive Scheduling Policy for Optimizing Information Freshness in Wireless Networks
Howard H. Yang, Ahmed Arafa, Tony Q. S. Quek +1
Optimization of information freshness in wireless networks has usually been performed based on queueing analysis that captures only the temporal traffic dynamics associated with th…
Timely Cloud Computing: Preemption and Waiting
Ahmed Arafa, Roy D. Yates, H. Vincent Poor
The notion of timely status updating is investigated in the context of cloud computing. Measurements of a time-varying process of interest are acquired by a sensor node, and upload…
On Timely Channel Coding with Hybrid ARQ
Ahmed Arafa, Karim Banawan, Karim G. Seddik +1
A status updating communication system is examined, in which a transmitter communicates with a receiver over a noisy channel. The goal is to realize timely delivery of fresh data o…
How to Price Fresh Data
Meng Zhang, Ahmed Arafa, Jianwei Huang +1
We introduce the concept of a fresh data market, in which a destination user requests, and pays for, fresh data updates from a source provider. Data freshness is captured by the {\…
Interplay Between NOMA and Other Emerging Technologies: A Survey
Mojtaba Vaezi, Gayan Amarasuriya, Yuanwei Liu +3
Non-orthogonal multiple access (NOMA) has been widely recognized as a promising way to scale up the number of users, enhance the spectral efficiency, and improve the user fairness…