Paper Citation Record · LEDGER

Federated Transfer Learning with Differential Privacy

As of 7 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 4 inbound Pith citation observations for arXiv:2403.11343.

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

pith.paper-citation-record.v1
2403.11343 v4

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-24T03:30:20.242781Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T16:29:28.243675Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T11:26:54.185041Z

Reference resolution

13 of 13 outbound references displayed

verified exact0
verified fuzzy8
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cc6c6a9b-246d-4b8e-a868-2fa809bf53bc · outbound

This paper cites an unresolved cited work.

Federated Transfer Learning with Differential Privacy Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-05-24T03:38:51.555368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ab2b3ae4-c9d9-4331-ba67-da0ba913f796 · outbound

This paper cites Suppose that n ≳ dT log n∨(T /δ) η log(T /[η(ϵ ∧ δ)]) ϵ , (35) and T = ⌈C log(n)⌉ for some absolute constant C > 0.

Federated Transfer Learning with Differential Privacy Suppose that n ≳ dT log n∨(T /δ) η log(T /[η(ϵ ∧ δ)]) ϵ , (35) and T = ⌈C log(n)⌉ for some absolute constant C > 0

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T03:38:51.549713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 36f197d9-c632-45f9-8701-cfca7ddb2322 · outbound

This paper cites Lemma 9 shows that Algorithm 4 achieves the optimal convergence rate up to poly- logarithmic factors.

Federated Transfer Learning with Differential Privacy Lemma 9 shows that Algorithm 4 achieves the optimal convergence rate up to poly- logarithmic factors

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T03:38:51.569464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 68aa3bb4-5f3e-482a-88ea-44cd0b82ca7b · outbound

This paper cites an unresolved cited work.

Federated Transfer Learning with Differential Privacy Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-05-24T03:38:51.562077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 31b36ea7-da34-4b37-9dcb-c676df8b1347 · outbound

This paper cites Proof of Corollary 12.

Federated Transfer Learning with Differential Privacy Proof of Corollary 12

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T03:38:51.565779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 14c07a59-f380-4001-83d8-b64edbc81f33 · outbound

This paper cites For E ′ 2, the same arguments for controlling E2 in Lemma 11 still work, but with n by N in the choice of R to account for the union bound over N random variables.

Federated Transfer Learning with Differential Privacy For E ′ 2, the same arguments for controlling E2 in Lemma 11 still work, but with n by N in the choice of R to account for the union bound over N random variables

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T03:38:51.558804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f381ccae-9e96-4b96-b0a0-cb7c60b95ed9 · outbound

This paper cites Definition 2.

Federated Transfer Learning with Differential Privacy Definition 2

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T03:38:51.539182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bbb3e8f5-9e42-4759-bb4c-2690ab63297d · outbound

This paper cites 9s′ 10s − 1 ξ2 + 22 5 L2ξ − 2 11 9 2 L4 # ≤ 1 − s s′ 5 11L2.

Federated Transfer Learning with Differential Privacy 9s′ 10s − 1 ξ2 + 22 5 L2ξ − 2 11 9 2 L4 # ≤ 1 − s s′ 5 11L2

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T03:38:51.525140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fbd6bb6c-3dd4-47e3-bc0c-2ab6c8bd9264 · outbound

This paper cites an unresolved cited work.

Federated Transfer Learning with Differential Privacy Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-05-24T03:38:51.535882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 563ec6b3-ec1a-4a74-a32d-6f80e4d02da0 · outbound

This paper cites an unresolved cited work.

Federated Transfer Learning with Differential Privacy Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-05-24T03:38:51.528680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 56ac26f0-f40d-4da1-9828-a14945d682cb · outbound

This paper cites an unresolved cited work.

Federated Transfer Learning with Differential Privacy Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-05-24T03:38:51.532332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b6a3630b-469c-4faf-af59-5c020486b649 · outbound

This paper cites 1 2 + Cγ s s′ log(d/η) n/T + c # ∥βt − β∗∥2 Σ + C′ s′ log(d/η) n/T . (70) Similarly, Lt n(βt+1) − Lt n(β∗) ≥.

Federated Transfer Learning with Differential Privacy 1 2 + Cγ s s′ log(d/η) n/T + c # ∥βt − β∗∥2 Σ + C′ s′ log(d/η) n/T . (70) Similarly, Lt n(βt+1) − Lt n(β∗) ≥

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T03:38:51.542577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 74def253-3d4d-434a-87f6-b7c6c5b10496 · outbound

This paper cites 1 2 + Cγ s s′ log(d/η) N/T + c # ∥βt − β(0)∥2 Σ + s′ log(d/η) N/T + h2. (86) Similarly, Lt N(βt+1) − Lt N(β(0)) ≥.

Federated Transfer Learning with Differential Privacy 1 2 + Cγ s s′ log(d/η) N/T + c # ∥βt − β(0)∥2 Σ + s′ log(d/η) N/T + h2. (86) Similarly, Lt N(βt+1) − Lt N(β(0)) ≥

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T03:38:51.546169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation 23ec635c-d11e-4848-9f9a-9663ea0f3bc9 · inbound

A Van Trees Lower Bound for Fully Interactive Differentially Private Federated Learning cites this paper.

A Van Trees Lower Bound for Fully Interactive Differentially Private Federated Learning Federated Transfer Learning with Differential Privacy

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-05-20T07:18:06.903018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ec0e1b6a-a685-49b7-8bd5-a0bd92e40496 · inbound

A Van Trees Lower Bound for Fully Interactive Differentially Private Federated Learning cites this paper.

A Van Trees Lower Bound for Fully Interactive Differentially Private Federated Learning Federated Transfer Learning with Differential Privacy

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-12T16:29:28.243675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bff83eda-c4d4-4634-8432-2634c9e5036c · inbound

Harnessing Source Heterogeneity for Cluster-Structured Transfer Learning cites this paper.

Harnessing Source Heterogeneity for Cluster-Structured Transfer Learning Federated Transfer Learning with Differential Privacy

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-07-02T11:26:54.186814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d9541c88-7e65-42db-bdd1-ed9a3b8c7062 · inbound

Contaminated Multi-task Learning with Heterogeneity: Fundamental Limits and Optimal Algorithms cites this paper.

Contaminated Multi-task Learning with Heterogeneity: Fundamental Limits and Optimal Algorithms Federated Transfer Learning with Differential Privacy

Reference 272

Resolution: unresolved; no resolver link, observed 2026-07-12T07:46:03.995262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.