Comments (1)
Thanks for your interest in this project! That's a good suggestion. Storing lots of data in Ethereum isn't ideal but I have some concerns with other storage methods. Maybe you already saw my FAQ about it: https://github.com/microsoft/0xDeCA10B#what-about-storing-models-off-chain ?
I've looked into Factom a bit and some of those concerns might apply to Factom as well. The information on their site was vague. Here are some questions for my notes or you to answer if you happen to know the answers:
- Is it cheap to update data? Factom advertises that data is immutable but if I can efficiently update a model then that might be good to do rather than storing a new model for every update.
- We might have to use an oracle to get the model if it is stored externally, this cost might be too high for some models.
- Is the data storage persistent? A peer-to-peer network is mentioned and if it is like IPFS, then it's not reliable.
from 0xdeca10b.
Related Issues (20)
- [demo] Add way to search for added data HOT 5
- [demo] Show image for the original data when looking at refund/reward data for an image classifier HOT 1
- [demo] Add simple encoders.
- [demo] Allow chunk sizes to be configurable when deploying models HOT 11
- [demo] Use and store more model meta-data in local storage
- [simulation] Add MurmurHash3 option
- Body parser is now deprecated !
- [Simulation] -> Bokeh server application does not exist HOT 3
- [simulation] Use normalization like in the demo. HOT 2
- Inquiry Regarding the Opportunity of GSoC Contributions in this Repository HOT 1
- http://localhost:5006/simulate_imdb_perceptron is a blank page HOT 7
- This repo is missing an important file
- demo " run yarn client ":
- GLH-OCCHKTW0702042023
- [demo] Add an option for word hashing vocab
- WSL Deployment Consulting HOT 12
- error when run 'yarn server' HOT 1
- [demo] Track accuracy over time. HOT 8
- [demo]When I run the command "yarn client", somethings goes error which reminder me "bash: deploy_client.sh:No such file or directory". HOT 21
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