Paper Citation Record · LEDGER

Cross-Silo Federated Learning: Challenges and Opportunities

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 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 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:39:18.131190Z

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 21dd0a19-8809-4f0d-85ef-d21b87e0c43e · inbound

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions cites this paper.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Cross-Silo Federated Learning: Challenges and Opportunities

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.131190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c50f098-16cd-460d-a244-6fc7eeb351ee · inbound

FedMLLM: Federated Fine-tuning MLLM on Multimodal Heterogeneity Data cites this paper.

FedMLLM: Federated Fine-tuning MLLM on Multimodal Heterogeneity Data Cross-Silo Federated Learning: Challenges and Opportunities

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:14.452296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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.

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.

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.

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.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.