Paper Citation Record · LEDGER

Topology-Aware Differential Privacy in Federated Learning

As of 19 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2506.19260.

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

pith.paper-citation-record.v1
2506.19260 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:46:03.322726Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

verified exact1
verified fuzzy28
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c6e9e1d2-5e43-4915-bff6-a1c80bba3647 · outbound

This paper cites Federated learning in medicine: fa- cilitating multi-institutional collaborations without sharing patient data,.

Topology-Aware Differential Privacy in Federated Learning Federated learning in medicine: fa- cilitating multi-institutional collaborations without sharing patient data,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:46:04.137822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 214b9677-7757-4488-abd2-9001ad8b0ed5 · outbound

This paper cites Federated learning for predicting clinical outcomes in patients with covid-19,.

Topology-Aware Differential Privacy in Federated Learning Federated learning for predicting clinical outcomes in patients with covid-19,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:46:04.112046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b509dd45-127f-4336-83e4-3932b254a209 · outbound

This paper cites Melloddy: cross-pharma federated learning at unprecedented scale unlocks benefits in qsar without com- promising proprietary information,.

Topology-Aware Differential Privacy in Federated Learning Melloddy: cross-pharma federated learning at unprecedented scale unlocks benefits in qsar without com- promising proprietary information,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T18:46:03.096110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6397de9c-0466-4325-806e-a8147e12d15b · outbound

This paper cites Towards federated learning at scale: System design,.

Topology-Aware Differential Privacy in Federated Learning Towards federated learning at scale: System design,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:46:04.078305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 35769a28-bb86-4bbd-990a-15fa34f2f4eb · outbound

This paper cites Deep leakage from gradients,.

Topology-Aware Differential Privacy in Federated Learning Deep leakage from gradients,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T18:46:03.117466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6f5b223-dd45-4aa4-9fc8-0f767750e8cf · outbound

This paper cites Inverting gradients-how easy is it to break privacy in federated learning?.

Topology-Aware Differential Privacy in Federated Learning Inverting gradients-how easy is it to break privacy in federated learning?

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:46:04.048521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d32ca9f6-f8e0-4438-839d-ab685149a6d9 · outbound

This paper cites Membership inference attacks against machine learning models,.

Topology-Aware Differential Privacy in Federated Learning Membership inference attacks against machine learning models,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:46:04.030048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f2205fa3-7c18-4644-b29a-34515807ab31 · outbound

This paper cites Exploiting unintended feature leakage in collaborative learning,.

Topology-Aware Differential Privacy in Federated Learning Exploiting unintended feature leakage in collaborative learning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:46:04.011958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 661bee37-236e-40a7-a88b-22266541fcd4 · outbound

This paper cites Deep learning with differential privacy,.

Topology-Aware Differential Privacy in Federated Learning Deep learning with differential privacy,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:46:03.995920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1475ced9-2d98-4c71-9fe1-e7378dee752d · outbound

This paper cites Learning differentially private recurrent language models,.

Topology-Aware Differential Privacy in Federated Learning Learning differentially private recurrent language models,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:46:03.974371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 77098a4d-dea5-46ea-9a41-9e0710740147 · outbound

This paper cites R ´enyi differential privacy,.

Topology-Aware Differential Privacy in Federated Learning R ´enyi differential privacy,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T18:46:03.151859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49544af2-bc18-43d9-8d40-26ea014f79bd · outbound

This paper cites Client-edge-cloud hierarchical federated learn- ing,.

Topology-Aware Differential Privacy in Federated Learning Client-edge-cloud hierarchical federated learn- ing,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:46:03.942398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 20f726e7-6735-435f-80ff-79c07187eda5 · outbound

This paper cites Hierarchical federated learning across heterogeneous cellular networks,.

Topology-Aware Differential Privacy in Federated Learning Hierarchical federated learning across heterogeneous cellular networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:46:03.922669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9c1256c9-357a-4652-8e32-7bc26911199e · outbound

This paper cites BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning.

Topology-Aware Differential Privacy in Federated Learning BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T18:46:03.168949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b995e698-fd55-4c75-95f3-8c8dc5cee60d · outbound

This paper cites Decentralized learning works: An empirical comparison of gossip learning and federated learning,.

Topology-Aware Differential Privacy in Federated Learning Decentralized learning works: An empirical comparison of gossip learning and federated learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:46:03.901200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation febbf905-c96d-4fc1-8f34-33ddebd87a72 · outbound

This paper cites Implicit model specialization through dag-based decentralized federated learning,.

Topology-Aware Differential Privacy in Federated Learning Implicit model specialization through dag-based decentralized federated learning,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:46:03.870634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5049cd43-2b75-4de9-a208-66017ef7d5c1 · outbound

This paper cites A Field Guide to Federated Optimization.

Topology-Aware Differential Privacy in Federated Learning A Field Guide to Federated Optimization

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T18:46:03.187256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9cdc880-9de2-4f89-869f-ae7f2900f1b3 · outbound

This paper cites Flamby: Datasets and bench- marks for cross-silo federated learning in realistic healthcare settings,.

Topology-Aware Differential Privacy in Federated Learning Flamby: Datasets and bench- marks for cross-silo federated learning in realistic healthcare settings,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:46:03.847906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1910a93e-af9d-49ae-a916-271a5713aedb · outbound

This paper cites Learning multiple layers of features from tiny images,.

Topology-Aware Differential Privacy in Federated Learning Learning multiple layers of features from tiny images,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T18:46:03.198379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c2b4421-646b-4a62-b9a1-e685250f09c9 · outbound

This paper cites iDLG: Improved Deep Leakage from Gradients.

Topology-Aware Differential Privacy in Federated Learning iDLG: Improved Deep Leakage from Gradients

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T18:46:03.203888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c344bb0e-e774-4e76-94c8-99bc02af07b1 · outbound

This paper cites See through gradients: Image batch recovery via gradinversion,.

Topology-Aware Differential Privacy in Federated Learning See through gradients: Image batch recovery via gradinversion,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:46:03.814297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0cb3b80e-77a5-4713-83ec-b5eb14ec1348 · outbound

This paper cites Robbing the fed: Directly obtaining private data in federated learning with modified models,.

Topology-Aware Differential Privacy in Federated Learning Robbing the fed: Directly obtaining private data in federated learning with modified models,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:46:03.794508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 71ab0a74-fe0f-4aba-aed0-e01ac63f0f07 · outbound

This paper cites Comprehensive privacy analysis of deep learning: Passive and active white-box inference attacks against centralized and federated learning,.

Topology-Aware Differential Privacy in Federated Learning Comprehensive privacy analysis of deep learning: Passive and active white-box inference attacks against centralized and federated learning,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T18:46:03.219481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdb81bb8-e66d-471d-b46b-9dfdf41862cd · outbound

This paper cites Federated learning with differential privacy: Al- gorithms and performance analysis,.

Topology-Aware Differential Privacy in Federated Learning Federated learning with differential privacy: Al- gorithms and performance analysis,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:46:03.759533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 98272873-29eb-48f2-b970-9d50a5765cd1 · outbound

This paper cites Subsampled r ´enyi differential privacy and analytical moments accountant,.

Topology-Aware Differential Privacy in Federated Learning Subsampled r ´enyi differential privacy and analytical moments accountant,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:46:03.740746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b702328b-59e9-4c6b-a4b8-74e563f9b08a · outbound

This paper cites Differential privacy as a mutual information constraint,.

Topology-Aware Differential Privacy in Federated Learning Differential privacy as a mutual information constraint,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:46:03.717037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1b755d60-8623-4323-bef3-3f0f5255241a · outbound

This paper cites Three variants of differential privacy: Lossless conversion and applications,.

Topology-Aware Differential Privacy in Federated Learning Three variants of differential privacy: Lossless conversion and applications,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:46:03.699131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 490c08dd-aada-4b54-ba8e-b906b0c54a03 · outbound

This paper cites Practical secure aggregation for privacy- preserving machine learning,.

Topology-Aware Differential Privacy in Federated Learning Practical secure aggregation for privacy- preserving machine learning,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:46:03.680645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b6d75a2b-3b3d-41c6-8a22-2c74bb577381 · outbound

This paper cites Conservative or liberal? person- alized differential privacy,.

Topology-Aware Differential Privacy in Federated Learning Conservative or liberal? person- alized differential privacy,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:46:03.659385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 69ef6312-cb6c-49f1-8f57-c9b043ee71cc · outbound

This paper cites LEAF: A Benchmark for Federated Settings.

Topology-Aware Differential Privacy in Federated Learning LEAF: A Benchmark for Federated Settings

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T18:46:03.263487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c02b633-3dfa-4797-8dfa-d3cb6010e831 · outbound

This paper cites Federated learning with hierarchical clustering of local updates to improve training on non-iid data,.

Topology-Aware Differential Privacy in Federated Learning Federated learning with hierarchical clustering of local updates to improve training on non-iid data,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:46:03.631066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7a08e8d3-79f7-4446-aaf2-c9c2d7eb1e56 · outbound

This paper cites Privacy amplification by decentralization,.

Topology-Aware Differential Privacy in Federated Learning Privacy amplification by decentralization,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:46:03.612111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 782bf29f-d217-473e-bcb5-0465702ca543 · outbound

This paper cites From Models to Network Topologies: A Topology Inference Attack in Decentralized Federated Learning.

Topology-Aware Differential Privacy in Federated Learning From Models to Network Topologies: A Topology Inference Attack in Decentralized Federated Learning

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-15T18:46:03.403413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0ad84b41-de76-4ab3-8cc7-7ef180763067 · outbound

This paper cites Source inference attacks in federated learning,.

Topology-Aware Differential Privacy in Federated Learning Source inference attacks in federated learning,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:46:03.595025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 67d0e64a-07b0-4777-89fd-21b2bc3badc2 · outbound

This paper cites Opacus: User-friendly differential privacy library in pytorch,.

Topology-Aware Differential Privacy in Federated Learning Opacus: User-friendly differential privacy library in pytorch,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:46:03.576466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2df327ec-6e29-4688-a612-87ef6cbdd293 · outbound

This paper cites Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification.

Topology-Aware Differential Privacy in Federated Learning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T18:46:03.300609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28b1d981-9ec2-4aa3-a4dd-e037021a46a4 · outbound

This paper cites On random graphs,.

Topology-Aware Differential Privacy in Federated Learning On random graphs,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:46:03.556123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 21cf91e8-bb18-47bf-989f-1a653efd795e · outbound

This paper cites Emergence of scaling in random net- works,.

Topology-Aware Differential Privacy in Federated Learning Emergence of scaling in random net- works,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T18:46:03.312044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fdba94a-da8f-47c5-aad1-37a49ed3964f · outbound

This paper cites Evidential trust-aware model personalization in decentralized federated learning for wearable iot,.

Topology-Aware Differential Privacy in Federated Learning Evidential trust-aware model personalization in decentralized federated learning for wearable iot,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:46:03.528202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 434cbe3a-704a-4fa5-9041-e7ac72b6b1f6 · outbound

This paper cites Equivalence tests: A practical primer for t tests, correlations, and meta-analyses,.

Topology-Aware Differential Privacy in Federated Learning Equivalence tests: A practical primer for t tests, correlations, and meta-analyses,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:46:03.511359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.