… to enable human participants to use their equipped mobile devices to collected data. And …
which used sensors on vehicles rather than human participants. For example, Xiao et. al in [8] …

… In this paper, we focus on the sequential decision-making problem related to the optimal
operation of a storage device participating in the CID market. Firstly, we present a novel …

… The network consists of a large number of participants, primarily industrial edge devices like
… This means the participants have a variable number of linkages between each other but …

… As shown in Figure 8, with more mobile devices participating in the federated learning,
our DRL-based approach can also obtain the best performance as compared with the state-ofthe-…

… Obviously, energy has become a crucial factor restricting the performance of IoT devices,
especially for IoT devices participating in FL training. Nowadays, harvesting renewable energy (…

… whereby there is an underlying reinforcement learning (RL) agent that presents binary
options for a change on one particular factor at a time to participants at regular time intervals. …

… results show that participants who received messages generated by the learning algorithm
… not require patients to maintain a separate device to participate in the experiment. It also has …

… With the massive deployment of mobile devices, mobile crowdsourcing (MCS) has become
… features from participants and tasks, and the pointer network to select suitable participants to …

… IPS, we design a novel reinforcement learning structure, named branching actor–… device
i as a participating device at the tth RAO. The CH will select K devices as participating devices …

… machine learning model on their devices … to participate in the training of a certain task. In
this paper, we address this challenge and propose a trust-based deep reinforcement learning …