---
_id: '12660'
abstract:
- lang: eng
  text: 'We present Cross-Client Label Propagation(XCLP), a new method for transductive
    federated learning. XCLP estimates a data graph jointly from the data of multiple
    clients and computes labels for the unlabeled data by propagating label information
    across the graph. To avoid clients having to share their data with anyone, XCLP
    employs two cryptographically secure protocols: secure Hamming distance computation
    and secure summation. We demonstrate two distinct applications of XCLP within
    federated learning. In the first, we use it in a one-shot way to predict labels
    for unseen test points. In the second, we use it to repeatedly pseudo-label unlabeled
    training data in a federated semi-supervised setting. Experiments on both real
    federated and standard benchmark datasets show that in both applications XCLP
    achieves higher classification accuracy than alternative approaches.'
article_number: '2210.06434'
article_processing_charge: No
arxiv: 1
author:
- first_name: Jonathan A
  full_name: Scott, Jonathan A
  id: e499926b-f6e0-11ea-865d-9c63db0031e8
  last_name: Scott
- first_name: Michelle X
  full_name: Yeo, Michelle X
  id: 2D82B818-F248-11E8-B48F-1D18A9856A87
  last_name: Yeo
- first_name: Christoph
  full_name: Lampert, Christoph
  id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
  last_name: Lampert
  orcid: 0000-0001-8622-7887
citation:
  ama: Scott JA, Yeo MX, Lampert C. Cross-client Label Propagation for transductive
    federated learning. <i>arXiv</i>. doi:<a href="https://doi.org/10.48550/arXiv.2210.06434">10.48550/arXiv.2210.06434</a>
  apa: Scott, J. A., Yeo, M. X., &#38; Lampert, C. (n.d.). Cross-client Label Propagation
    for transductive federated learning. <i>arXiv</i>. <a href="https://doi.org/10.48550/arXiv.2210.06434">https://doi.org/10.48550/arXiv.2210.06434</a>
  chicago: Scott, Jonathan A, Michelle X Yeo, and Christoph Lampert. “Cross-Client
    Label Propagation for Transductive Federated Learning.” <i>ArXiv</i>, n.d. <a
    href="https://doi.org/10.48550/arXiv.2210.06434">https://doi.org/10.48550/arXiv.2210.06434</a>.
  ieee: J. A. Scott, M. X. Yeo, and C. Lampert, “Cross-client Label Propagation for
    transductive federated learning,” <i>arXiv</i>. .
  ista: Scott JA, Yeo MX, Lampert C. Cross-client Label Propagation for transductive
    federated learning. arXiv, 2210.06434.
  mla: Scott, Jonathan A., et al. “Cross-Client Label Propagation for Transductive
    Federated Learning.” <i>ArXiv</i>, 2210.06434, doi:<a href="https://doi.org/10.48550/arXiv.2210.06434">10.48550/arXiv.2210.06434</a>.
  short: J.A. Scott, M.X. Yeo, C. Lampert, ArXiv (n.d.).
date_created: 2023-02-20T08:21:50Z
date_published: 2022-10-12T00:00:00Z
date_updated: 2023-02-21T08:20:18Z
day: '12'
ddc:
- '004'
department:
- _id: ChLa
doi: 10.48550/arXiv.2210.06434
external_id:
  arxiv:
  - '2210.06434'
file:
- access_level: open_access
  checksum: 7ab20543fd4393f14fb857ce2e4f03c6
  content_type: application/pdf
  creator: chl
  date_created: 2023-02-20T08:21:35Z
  date_updated: 2023-02-20T08:21:35Z
  file_id: '12661'
  file_name: 2210.06434.pdf
  file_size: 291893
  relation: main_file
  success: 1
file_date_updated: 2023-02-20T08:21:35Z
has_accepted_license: '1'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Preprint
publication: arXiv
publication_status: submitted
status: public
title: Cross-client Label Propagation for transductive federated learning
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2022'
...