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Paper Citation Record · LEDGER

Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture

As of 20 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2412.00687.

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

pith.paper-citation-record.v1
2412.00687 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:10:33.313712Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

32 of 32 outbound references displayed

  • verified exact1
  • verified fuzzy13
  • unresolved16
  • parse uncertain0
  • malformed identifier1
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External citation measurements

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Outbound references

Observation f3177226-aeda-4046-b569-c9922d161b5e · outbound

This paper cites Brendan McMahan, Ilya Mironov, Kunal Talwar, and Li Zhang.

Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture Brendan McMahan, Ilya Mironov, Kunal Talwar, and Li Zhang

Reference 1

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Observation 8ea9c0e2-b587-421d-b68b-5f8aae02e5cd · outbound

This paper cites Federated learning and differential privacy for medical image analysis.

Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture Federated learning and differential privacy for medical image analysis

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 816fa8eb-9619-4f3f-a862-39b0646ce8ea · outbound

This paper cites Differentially private learning with adaptive clipping.

Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture Differentially private learning with adaptive clipping

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 935a2591-c7eb-4c0f-956a-063f3cfd3335 · outbound

This paper cites Secure single-server aggregation with (poly) logarithmic overhead.

Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture Secure single-server aggregation with (poly) logarithmic overhead

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 9fa4cc5b-c37b-4cc4-9020-c88e032086f3 · outbound

This paper cites Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning.

Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning

Reference 5

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Observation 457efde3-9cd4-41d6-bb1d-4a57b730bb2d · outbound

This paper cites (amplified) banded matrix factorization: A unified approach to private training.

Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture (amplified) banded matrix factorization: A unified approach to private training

Reference 6

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Observation 9406b03d-c93f-4720-823d-478ecfa7a0d6 · outbound

This paper cites Differential privacy: A survey of results.

Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture Differential privacy: A survey of results

Reference 7

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Observation 83f13fdb-d69a-4aba-b558-811128705161 · outbound

This paper cites Deep models under the gan: information leakage from collaborative deep learning.

Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture Deep models under the gan: information leakage from collaborative deep learning

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation fcda1b48-a309-4b4c-9d07-01eb6d0f2c94 · outbound

This paper cites Practical and private (deep) learning without sampling or shuffling.

Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture Practical and private (deep) learning without sampling or shuffling

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 7c389761-0c10-4722-b333-a0bc58704867 · outbound

This paper cites End-to-end privacy preserving deep learning on multi-institutional medical imaging.

Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture End-to-end privacy preserving deep learning on multi-institutional medical imaging

Reference 10

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Observation f786a38b-4008-4e60-9060-fa95ac8e085e · outbound

This paper cites Supernet Training for Federated Image Classification under System Heterogeneity.

Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture Supernet Training for Federated Image Classification under System Heterogeneity

Reference 11

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ed212189-b893-4a9f-8222-8c134bf844c5 · outbound

This paper cites Fully decentralized federated learning.

Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture Fully decentralized federated learning

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation de967aef-3c32-430c-ab00-eb9709a4dbe1 · outbound

This paper cites Federated optimization in heterogeneous networks, 2018.

Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture Federated optimization in heterogeneous networks, 2018

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b9a910ac-db07-43b8-8413-e203c7f3a633 · outbound

This paper cites Jorge Cardoso, and Andrew Feng.

Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture Jorge Cardoso, and Andrew Feng

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation cb4174ea-3e5e-459d-98b4-b7bd5e0a30e5 · outbound

This paper cites Federated learning in mobile edge networks: A comprehensive survey.

Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture Federated learning in mobile edge networks: A comprehensive survey

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation e1d53ab2-b794-4baa-b6c1-0f657c21652b · outbound

This paper cites Federated learning for computational pathology on gigapixel whole slide images.

Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture Federated learning for computational pathology on gigapixel whole slide images

Reference 16

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Source-reported events for the cited work

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Observation 6b5ca4b2-dcb0-4041-a3a3-72d08a46a430 · outbound

This paper cites Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning.

Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning

Reference 17

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Observation 1702688f-6c1b-4dc8-81dd-af6d05e508f4 · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data.

Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture Communication-efficient learning of deep networks from decentralized data

Reference 18

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Observation 6b76641e-f8a8-4575-81ef-111e8f407323 · outbound

This paper cites A General Approach to Adding Differential Privacy to Iterative Training Procedures.

Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture A General Approach to Adding Differential Privacy to Iterative Training Procedures

Reference 19

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Observation 88a44f7c-0d0d-419f-84e6-9433eaf5b8bc · outbound

This paper cites Secureml: A system for scalable privacy-preserving machine learning.

Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture Secureml: A system for scalable privacy-preserving machine learning

Reference 20

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Observation 248d53ab-d8a9-4649-869e-cf8cc117201d · outbound

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

Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture Comprehensive privacy analysis of deep learning: Passive and active white-box inference attacks against centralized and federated learning

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 8cbed519-eb5d-465b-881a-f27028236eb6 · outbound

This paper cites Scalable Private Learning with PATE.

Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture Scalable Private Learning with PATE

Reference 22

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Observation 50d7a02a-ac2c-471f-9f76-b7662fa3a173 · outbound

This paper cites Federated Distillation for Medical Image Classification: Towards Trustworthy Computer-Aided Diagnosis.

Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture Federated Distillation for Medical Image Classification: Towards Trustworthy Computer-Aided Diagnosis

Reference 23

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Observation c4a84988-41b8-47ad-914e-c1018bb437e8 · outbound

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

Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data

Reference 24

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Observation 2e8884c2-cc5f-4707-afe8-821646ab2f07 · outbound

This paper cites MedLeak: Multimodal Medical Data Leakage in Secure Federated Learning with Crafted Models.

Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture MedLeak: Multimodal Medical Data Leakage in Secure Federated Learning with Crafted Models

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 175dc3cd-42de-403c-b209-aab9c841b2e1 · outbound

This paper cites Fed-BioMed: A General Open-Source Frontend Framework for Federated Learning in Healthcare.

Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture Fed-BioMed: A General Open-Source Frontend Framework for Federated Learning in Healthcare

Reference 26

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Observation 8d624acb-14ca-4b38-a2a3-dc774d0b55c4 · outbound

This paper cites Towards personalized federated learning.

Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture Towards personalized federated learning

Reference 27

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 4f62972b-e46c-4a9c-b9ce-a33184d6c09f · outbound

This paper cites Rubin, Lei Xing, and Yuyin Zhou.

Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture Rubin, Lei Xing, and Yuyin Zhou

Reference 28

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Observation 247c782f-c684-4011-967c-d1753714b209 · outbound

This paper cites Protocols for secure computations.

Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture Protocols for secure computations

Reference 29

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Source-reported events for the cited work

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Observation 00f3118d-879d-4313-af6e-dbaa7b228d11 · outbound

This paper cites Large scale private learning via low-rank reparametrization.

Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture Large scale private learning via low-rank reparametrization

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9a598372-48c2-4807-a109-8c4c4c88e2ca · outbound

This paper cites Personalized Federated Learning with First Order Model Optimization.

Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture Personalized Federated Learning with First Order Model Optimization

Reference 31

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Observation fedc5985-7b82-4846-a8ee-72dfa9b8c588 · outbound

This paper cites Fedsup: A communication-efficient federated learning fatigue driving behaviors supervision approach.

Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture Fedsup: A communication-efficient federated learning fatigue driving behaviors supervision approach

Reference 32

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Pith citing papers

No inbound Pith citation observations are available.