FDRL-PPO is a federated PPO-based RL method enabling mobile units to learn efficient task participation strategies in dynamic crowdsensing without complete system information or raw data sharing.
Requirements for a flexible and generic API enabling mobile crowdsensing mhealth applications
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Federated Reinforcement Learning for Efficient Mobile Crowdsensing under Incomplete Information
FDRL-PPO is a federated PPO-based RL method enabling mobile units to learn efficient task participation strategies in dynamic crowdsensing without complete system information or raw data sharing.