2 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…