|
| Item | Related work | Key points |
|
| Centralized MCS system with dataset collection or annotation | [70–74] | [70] Training dataset collection of interface tappability |
| [71] Training dataset collection of spam SMSes |
| [72] Training dataset annotation |
| [73] Training dataset collection of temperature |
| [74] Training dataset collection and trading of images |
| Centralized traditional CS system with dataset collection or annotation | [17, 18, 75–87] | [17] Training dataset collection of videos |
| [75] Training dataset collection of images with labels |
| [76] Training dataset collection of audios |
| [18] Training dataset annotation with three criteria to ensure high quality |
| [77] Training dataset annotation with high quality and low costs |
| [78–87] Other systems for training dataset annotation |
| Decentralized CS systems without blockchain | [88–91] | [88–91] Task completion in a distributed way but need a centralized system or trusted third-party servers |
| Decentralized CS systems with blockchain | [92–101] | [92] Court processing of adjudication |
| [93] A general blockchain-based decentralized framework |
| [94] Collaboratively building and updating a dataset |
| [95] Copyright-preserving data trading |
| [96] Data trading based on reverse auction |
| [97] Task-worker matching |
| [98] Healthcare remedy evaluation system |
| [99] Novel mobile health applications |
| [100, 101] Peer-to-peer energy trading platform |
| Reputation system with blockchain | [102] | [102] Blockchain-based MCS system with reputation system |
| PPTD | [65, 67, 103–114] | [65, 67, 103–114] PPTD systems implemented on cloud servers |
| [115–118] | [115–118] PPTD systems implemented on blockchain |
|
