Paper Citation Record · LEDGER

Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data

As of 18 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2507.14999.

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

pith.paper-citation-record.v1
2507.14999 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:48:02.564145Z

measured 35 of 35 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

35 of 35 outbound references displayed

verified exact5
verified fuzzy26
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 41fcb5bc-6bce-4604-a653-66a484c68076 · outbound

This paper cites Detection of false data injection attacks in smart grid: A secure federated deep learning approach,.

Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data Detection of false data injection attacks in smart grid: A secure federated deep learning approach,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:03.271433Z

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 4bfa6271-baeb-452d-8325-c14819b225f6 · outbound

This paper cites Federated Learning for Smart Grid: A Survey on Applications and Potential Vulnerabilities.

Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data Federated Learning for Smart Grid: A Survey on Applications and Potential Vulnerabilities

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:48:02.744638Z

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 a0d9cbbd-fcb7-4a4a-bdfa-b8051c00018b · outbound

This paper cites Anomaly detection based on lstm and autoencoders using federated learning in smart electric grid,.

Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data Anomaly detection based on lstm and autoencoders using federated learning in smart electric grid,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:03.256082Z

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 a4ff38ec-d576-48d1-b0a8-14cebf11d22e · outbound

This paper cites Byzantine-resilient distributed p2p energy trading via spatial-temporal anomaly detection,.

Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data Byzantine-resilient distributed p2p energy trading via spatial-temporal anomaly detection,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:03.241030Z

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 39f13d04-b24c-41fe-9635-2b0eb00e9a4a · outbound

This paper cites A comprehensive survey of false data injection in smart grid,.

Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data A comprehensive survey of false data injection in smart grid,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:03.225411Z

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 ac2aefa1-f0d4-4c81-8ef1-122e94e362d2 · outbound

This paper cites A federated learning approach to anomaly detection in smart buildings,.

Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data A federated learning approach to anomaly detection in smart buildings,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:03.208670Z

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 0d4144b5-ebbd-49b6-9f27-2427f39b90fb · outbound

This paper cites Privacy- preserving peer-to-peer energy trading via hybrid secure computations,.

Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data Privacy- preserving peer-to-peer energy trading via hybrid secure computations,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:03.183168Z

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 313e2e9d-67cb-4b73-8fbe-14f328b376b6 · outbound

This paper cites Regulation (eu) 2016/679 of the european parliament and of the council,.

Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data Regulation (eu) 2016/679 of the european parliament and of the council,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:03.160094Z

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 9ccec5e7-ff74-4c59-8a59-0283d9dc9033 · outbound

This paper cites Edge intelligence for smart grid: A survey on application potentials,.

Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data Edge intelligence for smart grid: A survey on application potentials,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:03.144058Z

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 4142d743-dacd-40bf-be77-796ab7ccf98d · outbound

This paper cites Federated learning for enhanced cyber- security and trustworthiness in 5g and 6g networks: A comprehensive survey,.

Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data Federated learning for enhanced cyber- security and trustworthiness in 5g and 6g networks: A comprehensive survey,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T15:48:02.456366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3eaff68f-4fe0-4754-a9a6-42872190afc2 · outbound

This paper cites Utilizing federated learning and shap for predictive analysis in smart grid security,.

Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data Utilizing federated learning and shap for predictive analysis in smart grid security,

Reference 11

Resolution: verified exact; doi, observed 2026-08-06T15:48:02.610217Z

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 311ecfe2-5119-4f24-ae43-e5bae8a49307 · outbound

This paper cites Secure and efficient federated learning for smart grid with edge-cloud collaboration,.

Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data Secure and efficient federated learning for smart grid with edge-cloud collaboration,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:03.117133Z

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 e16b6874-5d82-42d1-a567-b07ff4ee013c · outbound

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

Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data Federated machine learning: Concept and applications,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T15:48:02.469128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afb45120-c55a-4640-9aee-faab32a0c1d5 · outbound

This paper cites Personal information protection in china: legal evolution and challenges,.

Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data Personal information protection in china: legal evolution and challenges,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:03.087214Z

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 82f70213-1ea8-42f1-a4d4-662113b919e4 · outbound

This paper cites Advancements in securing federated learning with ids: a comprehensive review of neural networks and feature engineering techniques for malicious client detection,.

Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data Advancements in securing federated learning with ids: a comprehensive review of neural networks and feature engineering techniques for malicious client detection,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:03.068764Z

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 cbd7690d-70fb-4057-851c-ef84e2dd9ab3 · outbound

This paper cites Feddetect: A novel privacy-preserving federated learning framework for energy theft detection in smart grid,.

Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data Feddetect: A novel privacy-preserving federated learning framework for energy theft detection in smart grid,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:03.051410Z

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 8778c3f3-9cbb-44b1-8744-be99852beb69 · outbound

This paper cites A federated learning framework for detecting false data injection attacks in solar farms,.

Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data A federated learning framework for detecting false data injection attacks in solar farms,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:03.021096Z

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 c3e3a025-82bb-4cd9-b8c4-d9f2ce176af2 · outbound

This paper cites Novel evasion attacks against adversarial training defense for smart grid federated learning,.

Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data Novel evasion attacks against adversarial training defense for smart grid federated learning,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:02.996165Z

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 0f02f5e5-bd6c-4a83-911e-1a41297ad755 · outbound

This paper cites Investigation of the robustness of xai-based federated learning against adversarial attacks for smart grid false data detection,.

Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data Investigation of the robustness of xai-based federated learning against adversarial attacks for smart grid false data detection,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:02.978181Z

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 ee58098b-3435-4c84-ab1a-4e2fe5cbe79d · outbound

This paper cites Incentive edge-based federated learning for false data injection attack detection on power grid state estimation: A novel mechanism design approach,.

Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data Incentive edge-based federated learning for false data injection attack detection on power grid state estimation: A novel mechanism design approach,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:02.959748Z

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 7f11164f-98a3-4493-8e34-9776b55eff12 · outbound

This paper cites Detection of false data injection attacks in distribution networks: A vertical federated learning approach,.

Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data Detection of false data injection attacks in distribution networks: A vertical federated learning approach,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:02.938728Z

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 bae69c8c-bbdf-4d0a-bd23-cd91fe143ce9 · outbound

This paper cites An efficient privacy- enhancing cross-silo federated learning and applications for false data injection attack detection in smart grids,.

Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data An efficient privacy- enhancing cross-silo federated learning and applications for false data injection attack detection in smart grids,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:02.919496Z

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 6430e2b6-655c-46e3-ac08-7630f12e7d5d · outbound

This paper cites Federated learning-based distributed localization of false data injection attacks on smart grids,.

Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data Federated learning-based distributed localization of false data injection attacks on smart grids,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:02.899828Z

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 e6e1a7cf-2ef0-427d-9e09-340de6782706 · outbound

This paper cites Federated Learning for Cyber Physical Systems: A Comprehensive Survey.

Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data Federated Learning for Cyber Physical Systems: A Comprehensive Survey

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T15:48:02.520448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ece12d6f-9bb7-45d7-974b-e6bb49d9d8f9 · outbound

This paper cites Sustainable and lightweight defense framework for resource constraint federated learning assisted smart grids against adversarial attacks,.

Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data Sustainable and lightweight defense framework for resource constraint federated learning assisted smart grids against adversarial attacks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:02.884333Z

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 4930ffad-490d-411e-b73f-b8eeda5d242a · outbound

This paper cites Deep learning for cybersecurity in smart grids: Review and perspectives,.

Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data Deep learning for cybersecurity in smart grids: Review and perspectives,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:02.864674Z

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 0ecee432-3050-4b3e-9005-acfe3b16ad55 · outbound

This paper cites FedWOA: A Federated Learning Model that uses the Whale Optimization Algorithm for Renewable Energy Prediction.

Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data FedWOA: A Federated Learning Model that uses the Whale Optimization Algorithm for Renewable Energy Prediction

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:48:02.687970Z

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 d697f514-24c6-4663-b01d-d46be12a2587 · outbound

This paper cites Federated learning for privacy-preserving smart grid data analysis,.

Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data Federated learning for privacy-preserving smart grid data analysis,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:02.847898Z

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 79672591-a6e4-4899-9eeb-c469158edfec · outbound

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

Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data Communication-efficient learning of deep networks from decentralized data,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:02.826797Z

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 c3270be4-1c76-4ec8-94cc-876ff7c2e679 · outbound

This paper cites Matpower-a matlab power system simulation package: User.

Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data Matpower-a matlab power system simulation package: User

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:02.807148Z

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 248a2c2b-833d-4674-b0e0-e1299394d957 · outbound

This paper cites Rec-AD: An Efficient Computation Framework for FDIA Detection Based on Tensor Train Decomposition and Deep Learning Recommendation Model.

Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data Rec-AD: An Efficient Computation Framework for FDIA Detection Based on Tensor Train Decomposition and Deep Learning Recommendation Model

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:48:02.660562Z

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 369d6032-fd7f-44e2-87be-49425c9fd2d7 · outbound

This paper cites Federated optimization in heterogeneous networks,.

Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data Federated optimization in heterogeneous networks,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:02.789859Z

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 4c5be833-2bb7-49ce-a0d7-d7f78a27e2e9 · outbound

This paper cites Tackling the objective inconsistency problem in heterogeneous federated optimiza- tion,.

Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data Tackling the objective inconsistency problem in heterogeneous federated optimiza- tion,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T15:48:02.564145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ff43a3c-2b71-41ae-83fc-fdd93be5936a · outbound

This paper cites Available: https://proceedings.mlsys.org/paper files/ paper/2020/file/1f5fe83998a09396ebe6477d9475ba0c-Paper.pdf.

Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data Available: https://proceedings.mlsys.org/paper files/ paper/2020/file/1f5fe83998a09396ebe6477d9475ba0c-Paper.pdf

Reference 450

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:02.772723Z

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 f265d5b5-7e80-488f-8597-3527e0691ac4 · outbound

This paper cites Available: https://dl.acm.org/doi/10.1145/3467981.

Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data Available: https://dl.acm.org/doi/10.1145/3467981

Reference 2021

Resolution: verified exact; doi, observed 2026-08-06T15:48:02.629310Z

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.