Name
Title | ||
|---|---|---|
MDLdroid: A ChainSGD-Reduce Approach to Mobile Deep Learning for Personal Mobile Sensing |
Abstract | ||
|---|---|---|
Personal mobile sensing is fast permeating our daily lives to enable activity monitoring, healthcare and rehabilitation. Combined with deep learning, these applications have achieved significant success in recent years. Different from conventional cloud-based paradigms, running deep learning on devices offers several advantages including data privacy preservation and low-latency response for both ... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TNET.2021.3103846 | IEEE/ACM Transactions on Networking |
Keywords | DocType | Volume |
Training,Sensors,Data models,Deep learning,Collaboration,Performance evaluation,Computational modeling | Journal | 30 |
Issue | ISSN | Citations |
1 | 1063-6692 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |