Pith Number

pith:WVFDDUZF

pith:2019:WVFDDUZFS7QO6F2F7P6GWNUEID

not attested not anchored not stored refs pending

Advances and Open Problems in Federated Learning

Adri\`a Gasc\'on, Aleksandra Korolova, Ananda Theertha Suresh, Arjun Nitin Bhagoji, Aur\'elien Bellet, Ayfer \"Ozg\"ur, Badih Ghazi, Ben Hutchinson, Brendan Avent, Chaoyang He, Daniel Ramage, David Evans, Dawn Song, Farinaz Koushanfar, Felix X. Yu, Florian Tram\`er, Gauri Joshi, Graham Cormode, Hang Qi, Han Yu, H. Brendan McMahan, Hubert Eichner, Jakub Kone\v{c}n\'y, Jianyu Wang, Josh Gardner, Justin Hsu, Kallista Bonawitz, Lie He, Li Xiong, Marco Gruteser, Mariana Raykova, Martin Jaggi, Mehdi Bennis, Mehryar Mohri, Mikhail Khodak, Peter Kairouz, Phillip B. Gibbons, Praneeth Vepakomma, Prateek Mittal, Qiang Yang, Rachel Cummings, Rafael G.L. D'Oliveira, Ramesh Raskar, Rasmus Pagh, Richard Nock, Salim El Rouayheb, Sanmi Koyejo, Sebastian U. Stich, Sen Zhao, Tancr\`ede Lepoint, Tara Javidi, Weikang Song, Yang Liu, Zachary Charles, Zachary Garrett, Zaid Harchaoui, Zheng Xu, Zhouyuan Huo, Ziteng Sun

arxiv:1912.04977 v3 · 2019-12-10 · cs.LG · cs.CR · stat.ML

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Add to your LaTeX paper

\usepackage{pith}
\pithnumber{WVFDDUZFS7QO6F2F7P6GWNUEID}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Cited by

16 papers in Pith

Adaptive Joint Compression and Synchronisation in Federated Split Learning for IoT Rainfall Prediction

Quantifying and Defending against the Privacy Risk in Logit-based Federated Learning

TallyTrain: Communication-Efficient Federated Distillation

Expected Gain-based Escalation in Vertical Federated Learning

Tuning-Free Efficient Estimation for Multi-Source Data via Covariance-Aware Shrinkage

Receipt and verification

First computed	2026-07-05T02:21:13.200207Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

b54a31d32597e0ef1745fbfc6b368440e0bb76e674d797c2225e868288c22c70

Aliases

arxiv: 1912.04977 · arxiv_version: 1912.04977v3 · doi: 10.48550/arxiv.1912.04977 · pith_short_12: WVFDDUZFS7QO · pith_short_16: WVFDDUZFS7QO6F2F · pith_short_8: WVFDDUZF

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/WVFDDUZFS7QO6F2F7P6GWNUEID \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: b54a31d32597e0ef1745fbfc6b368440e0bb76e674d797c2225e868288c22c70

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "ddf0e32d50e0408f0681bc2d99a3930340a8f6a3314a71bcd0fb4de098c0d967",
    "cross_cats_sorted": [
      "cs.CR",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2019-12-10T20:55:41Z",
    "title_canon_sha256": "4ca948a8b1447e4ea7e10577a6197cc422ab2f13ae6c2d1437b5872510b11376"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1912.04977",
    "kind": "arxiv",
    "version": 3
  }
}