Row 7611

Row ID: 7611 | Dataset Entry | Axioma AXP Content Repository

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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FieldValue
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