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Paper Citation Record · LEDGER

How Much Privacy Does Federated Learning with Secure Aggregation Guarantee?

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2208.02304.

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

pith.paper-citation-record.v1
2208.02304 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:13:03.139836Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T18:06:33.783450Z

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 ef95aa01-0cdf-4b75-a1bd-eab8f24e1b89 · inbound

BlindFL: Segmented Federated Learning with Fully Homomorphic Encryption cites this paper.

BlindFL: Segmented Federated Learning with Fully Homomorphic Encryption How Much Privacy Does Federated Learning with Secure Aggregation Guarantee?

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T18:06:33.790808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:06:32.227173Z digest=sha256:852f918676ee50b15f787e3e82ba7250393da6a9b0a584240c1a52c3714642a5

Observation 9868d32a-2f64-4d47-9138-2d9f5200cb0b · inbound

DSFL: A Dual-Server Byzantine-Resilient Federated Learning Framework via Group-Based Secure Aggregation cites this paper.

DSFL: A Dual-Server Byzantine-Resilient Federated Learning Framework via Group-Based Secure Aggregation How Much Privacy Does Federated Learning with Secure Aggregation Guarantee?

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T16:13:03.139836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:13:03.139836Z digest=sha256:50ddc5f46f03b5b5030d471fe48a9906fbc5c2d07ea8d6e20a2068b4d9436896