Edge-End Collaborative Computing
Supporting customized model partition schemes for collaborative computing
Welcome to Crowd Intelligence with the Deep Fusion of Human, Machine and Things Open Platform!
MoreSupporting customized model partition schemes for collaborative computing
Supporting customized model compression schemes for reducing costs
Supporting prediction of metrics of models in resource-constrained platforms such as microcontrollers
Supporting settings of actions, rewards and learning strategies for customized scenarios of reinforcement learning
Supporting knowledge transfer of customized data and deep models
Supporting the emergence mechanism of crowd intelligence and collaboration of swarm agents
Provides users with a variety of open source codes and participates in the expansion of the developer ecosystem
Learn moreSupporting the measurement of parameters, computation, energy consumption and other performance metrics of customized models
Learn more177-9583-3104
crowdhmt@mail.nwpu.edu.cn
No. 1 Dongxiang Road, Dongda Town, Chang'an District, Xi'an, Shaanxi Province
Room 501, School of Computer Science, Chang'an Campus, Northwestern Polytechnical University