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Deep reinforcement learning based efficient access scheduling algorithm with an adaptive number of devices for federated learning IoT systems.
Zheng Guan
Zengwen Wang
Yu Cai
Xue Wang
Published in:
Internet Things (2023)
Keyphrases
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reinforcement learning
scheduling algorithm
learning systems
learning process
learning algorithm
management system
learning problems
distributed systems
learning tasks
function approximation
state space
response time
reinforcement learning methods
steady state
cloud computing
digital libraries
database systems