Paper Citation Record · LEDGER

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning

As of 17 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2505.01788.

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

pith.paper-citation-record.v1
2505.01788 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:12:57.916249Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

46 of 46 outbound references displayed

verified exact0
verified fuzzy27
unresolved19
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 60875d21-996f-4daa-9510-0aaf43f52524 · outbound

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

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Communication-efficient learning of deep networks from decentralized data,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:59.070817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 840fdf81-737a-4f6a-b2a0-64bc00a42cbd · outbound

This paper cites Deep learning with differential privacy,.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Deep learning with differential privacy,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T04:12:57.702487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 738f71b3-b498-42a0-a665-356d7bfc32f4 · outbound

This paper cites Practical Secure Aggregation for Federated Learning on User-Held Data.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Practical Secure Aggregation for Federated Learning on User-Held Data

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T04:12:57.708285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fff6638-c927-4f40-b6b7-b344dbef3b9d · outbound

This paper cites Federated machine learning: Concept and applications,.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Federated machine learning: Concept and applications,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T04:12:57.713814Z

Source-reported events for the cited work

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Observation e627ba53-1983-45a3-b4c8-95cb8f5cd37e · outbound

This paper cites Differential privacy,.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Differential privacy,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:59.035220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b790ec4a-0fc3-4bac-a776-43a436609432 · outbound

This paper cites an unresolved cited work.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:12:59.018375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 33e3ea7a-758f-4fba-b85e-3a1e3fda2635 · outbound

This paper cites Secure multi -party computation,.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Secure multi -party computation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:59.002118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e97ed6cf-d55f-49d1-ba09-d2b55352ac45 · outbound

This paper cites an unresolved cited work.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:12:58.987374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 64c14a4a-859b-4d74-8ec3-c9148dcfb25b · outbound

This paper cites Sectee: A software-based approach to secure enclave architecture using tee,.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Sectee: A software-based approach to secure enclave architecture using tee,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:58.973186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ab5e42dc-2d98-4c76-ad21-a46b10fc4705 · outbound

This paper cites Privacy -preserving deep learning,.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Privacy -preserving deep learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:58.958069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation febc1740-e4d6-4f27-956c-c368c5205977 · outbound

This paper cites Scalable and privacy -preserving data sharing based on blockchain,.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Scalable and privacy -preserving data sharing based on blockchain,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:58.942797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3af994ec-4bd6-418c-9445-ac012941674c · outbound

This paper cites Slicing: A new approach for privacy preserving data publishing,.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Slicing: A new approach for privacy preserving data publishing,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:58.927334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 56227bfa-efad-4160-831f-ac4850bb8a40 · outbound

This paper cites Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T04:12:57.757143Z

Source-reported events for the cited work

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Observation ab4671e1-9141-4d44-81ca-300b0733e163 · outbound

This paper cites Intel sgx explained,.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Intel sgx explained,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:58.911028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 254b6854-48e9-4176-a3d0-5360bae3575c · outbound

This paper cites Insecure until proven updated: analyzing amd sev’s remote attestation,.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Insecure until proven updated: analyzing amd sev’s remote attestation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:58.896108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d9088c5f-a8b8-45c2-a7af-031afb585b0b · outbound

This paper cites Research on arm trustzone,.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Research on arm trustzone,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:58.879891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 370f9c28-5dff-4932-9ea8-5b2eea3e49d8 · outbound

This paper cites Scaffold: Stochastic controlled averaging for federated learn - ing,.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Scaffold: Stochastic controlled averaging for federated learn - ing,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:58.862879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ed679a9d-42db-4695-8e80-ac9c7d6e9b4d · outbound

This paper cites Federated optimization in heterogeneous networks,.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Federated optimization in heterogeneous networks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:58.847292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 841f5fe2-98b5-42f3-99a1-918e04facc20 · outbound

This paper cites Federated Learning Based on Dynamic Regularization.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Federated Learning Based on Dynamic Regularization

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T04:12:57.784667Z

Source-reported events for the cited work

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Observation 38ec5dae-5187-4177-ab6a-e583ab1417c6 · outbound

This paper cites Model-contrastive federated learning,.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Model-contrastive federated learning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:58.831280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 281d6d9c-27dd-4d42-9c42-d41c29c7294d · outbound

This paper cites Federated multi-task learning,.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Federated multi-task learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:58.803891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7322c3ce-6e71-4a2b-9e6e-35647280a5d2 · outbound

This paper cites FedBN: Federated Learning on Non-IID Features via Local Batch Normalization.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning FedBN: Federated Learning on Non-IID Features via Local Batch Normalization

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T04:12:57.799289Z

Source-reported events for the cited work

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Observation dfb0ebd8-705b-4e3a-94e1-87c72049c5e3 · outbound

This paper cites Personalized federated learning with theoretical guarantees: A model -agnostic meta -learning approach,.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Personalized federated learning with theoretical guarantees: A model -agnostic meta -learning approach,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:58.614181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f40fbee0-5630-4c3c-82e5-4195e880d0e2 · outbound

This paper cites Personalized federated learning with moreau envelopes,.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Personalized federated learning with moreau envelopes,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T04:12:57.810218Z

Source-reported events for the cited work

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Observation 40711d17-88f4-4be0-9a07-3da016c46ada · outbound

This paper cites Ditto: Fair and robust federated learning through personalization,.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Ditto: Fair and robust federated learning through personalization,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:58.509480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c6f65ae6-4ed9-43b1-a0fd-3a6e7f5ab8fb · outbound

This paper cites Adaptive Personalized Federated Learning.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Adaptive Personalized Federated Learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T04:12:57.820944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cba9e0b3-7ce3-4d28-b213-a76b135601a7 · outbound

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

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Personalized Federated Learning with First Order Model Optimization

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T04:12:57.826296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97f8f968-aef1-4aa2-a3ba-cc6f11c5e4da · outbound

This paper cites Per- sonalized cross-silo federated learning on non -iid data,.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Per- sonalized cross-silo federated learning on non -iid data,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:58.494020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7bace8f7-3128-4373-9052-eb055c35cc7f · outbound

This paper cites Fedphp: Federated personalization with inherited private models,.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Fedphp: Federated personalization with inherited private models,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:58.477345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bd85308d-586d-4aa0-9b4d-e76154730caa · outbound

This paper cites Adapt to adaptation: Learning personalization for cross-silo federated learning,.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Adapt to adaptation: Learning personalization for cross-silo federated learning,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:58.460570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fd83b154-1a59-4295-9fd3-caaa302a448e · outbound

This paper cites Fedala: Adaptive local aggregation for personalized federated learning,.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Fedala: Adaptive local aggregation for personalized federated learning,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:58.366499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ac5a4989-1504-4889-9c01-4c5012c38046 · outbound

This paper cites Federated Learning with Personalization Layers.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Federated Learning with Personalization Layers

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T04:12:57.850243Z

Source-reported events for the cited work

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Observation 1512decc-f684-4d69-8604-502d52955491 · outbound

This paper cites Think Locally, Act Globally: Federated Learning with Local and Global Representations.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T04:12:57.856012Z

Source-reported events for the cited work

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Observation 8bbe34ac-d95a-4bab-9bf7-c940f456986a · outbound

This paper cites Exploiting shared representations for personalized federated learning,.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Exploiting shared representations for personalized federated learning,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:58.272422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 872aed93-f175-42cf-8403-8b91e743482b · outbound

This paper cites On Bridging Generic and Personalized Federated Learning for Image Classification.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning On Bridging Generic and Personalized Federated Learning for Image Classification

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T04:12:57.865336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 786a7446-7f30-423f-bd82-c676f9ceaeee · outbound

This paper cites FedBABU: Towards Enhanced Representation for Federated Image Classification.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning FedBABU: Towards Enhanced Representation for Federated Image Classification

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T04:12:57.870060Z

Source-reported events for the cited work

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Observation 84d1f611-318d-4a80-9096-6daac2927df1 · outbound

This paper cites Federated learning for face recognition with gradient correction,.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Federated learning for face recognition with gradient correction,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:58.254403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e461e98a-d086-40c4-bf08-201e9c5cb49c · outbound

This paper cites 16 federated knowledge distillation,.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning 16 federated knowledge distillation,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:58.237319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6d9f0767-2501-40d5-80bd-fc33038c4e7d · outbound

This paper cites Federated Mutual Learning.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Federated Mutual Learning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T04:12:57.883322Z

Source-reported events for the cited work

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Observation 7cb8e172-cd75-4d97-8845-7e3445cba7c3 · outbound

This paper cites Communication-efficient federated learning via knowledge distillation,.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Communication-efficient federated learning via knowledge distillation,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:58.221542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 43c2ae9b-0a3d-4366-bb21-003aa2652e8e · outbound

This paper cites Fedproto: Federated prototype learning across heterogeneous clients,.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Fedproto: Federated prototype learning across heterogeneous clients,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:58.205624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 27712fe8-eeee-44fb-a8ca-d0dac6152f26 · outbound

This paper cites Federated learning from pre-trained models: A contrastive learning approach,.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Federated learning from pre-trained models: A contrastive learning approach,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:58.187848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ce5e5a18-5f5d-40eb-be8d-182422ea642e · outbound

This paper cites Personalized Federated Learning with Feature Alignment and Classifier Collaboration.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Personalized Federated Learning with Feature Alignment and Classifier Collaboration

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T04:12:57.901690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe14a08f-b72b-4e91-81f0-d62f0d44ca80 · outbound

This paper cites Tune: A Research Platform for Distributed Model Selection and Training.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Tune: A Research Platform for Distributed Model Selection and Training

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-16T04:12:57.907222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d365a07-c962-4afe-8101-87aef2bc9beb · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Adam: A Method for Stochastic Optimization

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-16T04:12:57.911843Z

Source-reported events for the cited work

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Observation 244f108e-24a3-435a-9ad8-353a71b5ced3 · outbound

This paper cites A comparison of optimization algorithms for deep learning,.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning A comparison of optimization algorithms for deep learning,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:58.171169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.