Row 7611
Content Data
This page contains data entry 7611 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
No relevant code picked up just yet for "Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification".
[Request code](https://www.catalyzex.com/paper/arxiv:1909.06335?requestCode=true) from the authors or [ask a question](https://www.catalyzex.com/paper/arxiv:1909.06335?autofocus=question).
If you have code to share with the community, please add it [here](https://www.catalyzex.com/add_code?paper_url=https://arxiv.org/abs/1909.06335&title=Measuring+the+Effects+of+Non-Identical+Data+Distribution+for+Federated+Visual+Classification) 😊🙏
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To opt out from receiving code links, DM me.
| Field | Value |
|---|---|
| text | No relevant code picked up just yet for "Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification". [Request code](https://www.catalyzex.com/paper/arxiv:1909.06335?requestCode=true) from the authors or [ask a question](https://www.catalyzex.com/paper/arxiv:1909.06335?autofocus=question). If you have code to share with the community, please add it [here](https://www.catalyzex.com/add_code?paper_url=https://arxiv.org/abs/1909.06335&title=Measuring+the+Effects+… |
| label | r/pytorch |
| dataType | comment |
| communityName | r/pytorch |
| datetime | 2024-05-16 |
| username_encoded | Z0FBQUFBQm5LakwzRGJKcjZ5NkV6TWVBSzlzR0VTY2FlMG9iSUZfbTFzMlFmYUpmU0Q2QXZBX0tadDdJSDgzMGJ4djYzajJxZEJGYUxjLWFBbFBZYkNMM0M0S2lmZzlTczNQZ3AtNHA2aTZXQS1TNHRDZld0Uzg9 |
| url_encoded | Z0FBQUFBQm5Lak9IaDYwLWdRa2NmeEV5V1BOOVlUMWVBSDRjZlVUQnpJeWlYdUQtdTc5ZlpzTC16cDBaUFlNX29WVWdpdkpHaFFqb0R1VEtwZGxMRUpTU0MxU0FxeVUweHprcmVqcHE3Nk1lUE5Dc2JRRG52a2RNQUJQOTRaN1F4Nmt4anVKaEc0UXpKVlA3VDFDMDhrUzhyemVlalh6OFRoekQxVEhSWE5BWWZyTFlyZFdWN3JodUlIMnJWTVFndjUwMUJDRGQtck5z |
Raw Record
{
"text": "No relevant code picked up just yet for \"Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification\".\n\n[Request code](https://www.catalyzex.com/paper/arxiv:1909.06335?requestCode=true) from the authors or [ask a question](https://www.catalyzex.com/paper/arxiv:1909.06335?autofocus=question).\n\nIf you have code to share with the community, please add it [here](https://www.catalyzex.com/add_code?paper_url=https://arxiv.org/abs/1909.06335&title=Measuring+the+Effects+of+Non-Identical+Data+Distribution+for+Federated+Visual+Classification) 😊🙏\n\n--\n\nTo opt out from receiving code links, DM me.",
"label": "r/pytorch",
"dataType": "comment",
"communityName": "r/pytorch",
"datetime": "2024-05-16",
"username_encoded": "Z0FBQUFBQm5LakwzRGJKcjZ5NkV6TWVBSzlzR0VTY2FlMG9iSUZfbTFzMlFmYUpmU0Q2QXZBX0tadDdJSDgzMGJ4djYzajJxZEJGYUxjLWFBbFBZYkNMM0M0S2lmZzlTczNQZ3AtNHA2aTZXQS1TNHRDZld0Uzg9",
"url_encoded": "Z0FBQUFBQm5Lak9IaDYwLWdRa2NmeEV5V1BOOVlUMWVBSDRjZlVUQnpJeWlYdUQtdTc5ZlpzTC16cDBaUFlNX29WVWdpdkpHaFFqb0R1VEtwZGxMRUpTU0MxU0FxeVUweHprcmVqcHE3Nk1lUE5Dc2JRRG52a2RNQUJQOTRaN1F4Nmt4anVKaEc0UXpKVlA3VDFDMDhrUzhyemVlalh6OFRoekQxVEhSWE5BWWZyTFlyZFdWN3JodUlIMnJWTVFndjUwMUJDRGQtck5z"
}
Entry Information
- Entry ID: 7611
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000