file_bzfvwk4jhzholgtzdv5etn7fii
[as of editgroup_n3dodtlvsbhbxmrzpnyxrg4sji]
Associated Releases
2023-01-23 |
BayBFed: Bayesian Backdoor Defense for Federated Learning
submitted | article | v1 | CC-BY-NC-SA |
Public Access URLs
repository |
https://arxiv.org/pdf/2301.09508v1.pdf
|
webarchive |
https://web.archive.org/web/20230125004916/https://arxiv.org/pdf/2301.09508v1.pdf
|
Data Integrity Checksums
SHA-1 | f5bc2a7e8e219f6df963615b79ecac233e96d925
|
SHA-256 | 70acdf869787c40f5de0250f8c236f4277a049abf1539f55815976fbc0e68cb7
|
MD5 | 8a6de804efb4e1e95afd02209d36c6ae
|
Size 20.1 MB
MIME Type
MIME Type
application/pdf
Work In Progress
This entity has not been "accepted" into the official database yet.