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Paper Citation Record · LEDGER

Cross-Silo Federated Learning: Challenges and Opportunities

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2206.12949.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2206.12949 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:36:53.711160Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-16T18:58:19.166404Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation dac946a5-c324-467c-a972-1e4d6bec6dab · inbound

PLayer-FL: A Principled Approach to Personalized Layer-wise Cross-Silo Federated Learning cites this paper.

PLayer-FL: A Principled Approach to Personalized Layer-wise Cross-Silo Federated Learning Cross-Silo Federated Learning: Challenges and Opportunities

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T23:36:53.711160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:36:53.711160Z digest=sha256:da0d393f49f4a4118a3b8fa377e8ba02c27bc524803d4c9a5ce0a9614ee8217a

Observation eea44ff0-9472-49a8-a568-434c21163235 · inbound

Efficient Privacy-Preserving Cross-Silo Federated Learning with Multi-Key Homomorphic Encryption cites this paper.

Efficient Privacy-Preserving Cross-Silo Federated Learning with Multi-Key Homomorphic Encryption Cross-Silo Federated Learning: Challenges and Opportunities

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T15:34:37.251653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:34:37.251653Z digest=sha256:f7bc36aca254b418ea686c4dfcda9a155070bc49d73e818815efb9cb89e2c23e

Observation ff7862c9-f385-40cc-93d4-921dca466b0c · inbound

FedP3E: Privacy-Preserving Prototype Exchange for Non-IID IoT Malware Detection in Cross-Silo Federated Learning cites this paper.

FedP3E: Privacy-Preserving Prototype Exchange for Non-IID IoT Malware Detection in Cross-Silo Federated Learning Cross-Silo Federated Learning: Challenges and Opportunities

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T18:54:36.074239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:54:36.074239Z digest=sha256:e4e9c61f9c971c855a84a6f17bd1a3a221c00bbc25f5e28d06e935963ee2e3f4

Observation da9b1470-ef08-44ae-b3f6-55ff6d98d540 · inbound

BadFU: Backdoor Federated Learning through Adversarial Machine Unlearning cites this paper.

BadFU: Backdoor Federated Learning through Adversarial Machine Unlearning Cross-Silo Federated Learning: Challenges and Opportunities

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-05T17:58:46.346587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:58:46.346587Z digest=sha256:fd68fd2df55262eed1843d1cc72fd881455189b9b13f25ef205edc4d8555a260

Observation ee9324df-d5b2-47d7-adc0-7aa43feae8a7 · inbound

FedRP: A Communication-Efficient Approach for Differentially Private Federated Learning Using Random Projection cites this paper.

FedRP: A Communication-Efficient Approach for Differentially Private Federated Learning Using Random Projection Cross-Silo Federated Learning: Challenges and Opportunities

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-04T18:23:49.615844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T18:23:49.615844Z digest=sha256:3fdff73155e5970c04423abdf66f6b4c31acb26442eaab787b5dcbf32d7b55e0

Observation 4c9d4d9f-ded0-40f9-85c8-0688cac65471 · inbound

Federated Multi-Task Clustering cites this paper.

Federated Multi-Task Clustering Cross-Silo Federated Learning: Challenges and Opportunities

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-16T18:58:19.168522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T18:54:07.122864Z digest=sha256:36e91baf6e7129e88b63fa87edc645562800b981f992957b3d3d172965b28da9

Observation a740405d-32ac-4ba1-ace6-e5ddb453589d · inbound

Rashomon Sets and Model Multiplicity in Federated Learning cites this paper.

Rashomon Sets and Model Multiplicity in Federated Learning Cross-Silo Federated Learning: Challenges and Opportunities

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-16T03:22:12.809641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T03:21:50.223386Z digest=sha256:a80e7bded171ff916d60cbcbc09e296a0d36147f0b37a69cebd175ed3cc992e4

Observation a2e9bf33-2764-4ff4-8694-333cc49b7147 · inbound

XFED: Non-Collusive Model Poisoning Attack Against Byzantine-Robust Federated Classifiers cites this paper.

XFED: Non-Collusive Model Poisoning Attack Against Byzantine-Robust Federated Classifiers Cross-Silo Federated Learning: Challenges and Opportunities

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:40:59.880771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T17:04:26.021511Z digest=sha256:2e3bd127472a352a873dfcb1d9a47b952b727045137ea6a7631e633224a29a9d