3 papers
cs.DC2024
Dynamic Client Clustering, Bandwidth Allocation, and Workload Optimization for Semi-synchronous Federated Learning
Liangkun Yu, Xiang Sun, Rana Albelaihi +2
Federated Learning (FL) revolutionizes collaborative machine learning among Internet of Things (IoT) devices by enabling them to train models collectively while preserving data pri…
cs.DC2022
Latency Aware Semi-synchronous Client Selection and Model Aggregation for Wireless Federated Learning
Liangkun Yu, Xiang Sun, Rana Albelaihi +1
Federated learning (FL) is a collaborative machine learning framework that requires different clients (e.g., Internet of Things devices) to participate in the machine learning mode…
cs.NI2021
Backhaul-aware Drone Base Station Placement and Resource Management for FSO-based Drone-assisted Mobile Networks
Liangkun Yu, Xiang Sun, Sihua Shao +2
In drone-assisted mobile networks, Drone-mounted Base Stations (DBSs) are responsively and flexibly deployed over any Places of Interest (PoI), such as sporadic hotspots and disast…