Client Scheduling in Wireless Federated Learning Based on Channel and Learning Qualities
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2022.3141792
Abstract: Federated learning (FL) emerges as a distributed training method in the Internet of Things (IoT), allowing participating clients to use their local data to train local models and upload parameters for global model aggregation after… read more here.
Keywords: channel learning; wireless; federated learning; scheduling wireless ... See more keywords
Federated-Learning-Based Client Scheduling for Low-Latency Wireless Communications
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Wireless Communications"
DOI: 10.1109/mwc.001.2000252
Abstract: Motivated by the ever-increasing demands for massive data processing and intelligent data analysis at the network edge, federated learning (FL), a distributed architecture for machine learning, has been introduced to enhance edge intelligence without compromising… read more here.
Keywords: client scheduling; wireless communications; federated learning; based client ... See more keywords
Multi-Armed Bandit-Based Client Scheduling for Federated Learning
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2020.3008091
Abstract: By exploiting the computing power and local data of distributed clients, federated learning (FL) features ubiquitous properties such as reduction of communication overhead and preserving data privacy. In each communication round of FL, the clients… read more here.
Keywords: multi armed; client scheduling; bandit based; federated learning ... See more keywords