Paper Citation Record · LEDGER

Local-Global Knowledge Distillation in Heterogeneous Federated Learning with Non-IID Data

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2107.00051.

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

pith.paper-citation-record.v1
2107.00051 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:48:16.378813Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T21:53:29.917548Z

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 2d38b919-456e-4877-a8f3-55d156e89b57 · inbound

FedQUIT: On-Device Federated Unlearning via a Quasi-Competent Virtual Teacher cites this paper.

FedQUIT: On-Device Federated Unlearning via a Quasi-Competent Virtual Teacher Local-Global Knowledge Distillation in Heterogeneous Federated Learning with Non-IID Data

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:53:29.920521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b224202c-7734-46b2-8616-006490257538 · 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 Local-Global Knowledge Distillation in Heterogeneous Federated Learning with Non-IID Data

Reference 123

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.550546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 317e9220-5d4c-41a4-96a6-ebbd84d643d5 · inbound

Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead cites this paper.

Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead Local-Global Knowledge Distillation in Heterogeneous Federated Learning with Non-IID Data

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-08T15:50:58.814948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a8f593b-e53c-4a76-a3f7-6259c38ed325 · inbound

Learning Critically: Selective Self Distillation in Federated Learning on Non-IID Data cites this paper.

Learning Critically: Selective Self Distillation in Federated Learning on Non-IID Data Local-Global Knowledge Distillation in Heterogeneous Federated Learning with Non-IID Data

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:16.378813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf4ae9cb-b856-41f3-81fe-fb3d53cd0abc · inbound

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation cites this paper.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation Local-Global Knowledge Distillation in Heterogeneous Federated Learning with Non-IID Data

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T22:52:40.261436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 261b58c8-33a6-4ab8-96fc-b62f6ba09f5f · inbound

How to DP-fy Your Data: A Practical Guide to Generating Synthetic Data With Differential Privacy cites this paper.

How to DP-fy Your Data: A Practical Guide to Generating Synthetic Data With Differential Privacy Local-Global Knowledge Distillation in Heterogeneous Federated Learning with Non-IID Data

Reference 262

Resolution: unresolved; no resolver link, observed 2026-08-03T18:53:10.492953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.