On-Edge Multi-Task Transfer Learning: Model and Practice With Data-Driven Task Allocation
IEEE Transactions on Parallel and Distributed Systems(2020)
摘要
On edge devices, data scarcity occurs as a common problem where transfer learning serves as a widely-suggested remedy. Nevertheless, transfer learning imposes heavy computation burden to the resource-constrained edge devices. Existing task allocation works usually assume all submitted tasks are equally important, leading to inefficient resource allocation at a task level when directly applied in M...
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关键词
Task analysis,Resource management,Image edge detection,Data models,Machine learning,Performance evaluation,Computational modeling
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