Paper Citation Record · LEDGER

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things

As of 20 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 2 inbound Pith citation observations for arXiv:2501.01693.

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

pith.paper-citation-record.v1
2501.01693 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:26:28.721600Z

measured 50 of 50 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:10:18.374757Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:42:58.654669Z

Reference resolution

48 of 48 outbound references displayed

verified exact2
verified fuzzy36
unresolved10
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c6c3b23a-52b1-4109-9cab-12297bc64572 · outbound

This paper cites The industrial internet of things (iiot): An analysis framework,.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things The industrial internet of things (iiot): An analysis framework,

Reference 1

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Observation b38a6217-c0ca-44fa-9fbc-81835e9e5786 · outbound

This paper cites Industry 4.0: A survey on technologies, applications and open research issues,.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Industry 4.0: A survey on technologies, applications and open research issues,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:29.346601Z

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Observation 49245dda-d114-4530-aa1a-2f8d16bddbaa · outbound

This paper cites Towards fully au- tonomous driving: Systems and algorithms,.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Towards fully au- tonomous driving: Systems and algorithms,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:29.335259Z

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Observation 6d705360-b8b8-404a-8619-bd1293ae053e · outbound

This paper cites Context-sensitive access in indus- trial internet of things (iiot) healthcare applications,.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Context-sensitive access in indus- trial internet of things (iiot) healthcare applications,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:29.323624Z

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Observation becd1f45-fa06-45c8-9ec2-75c25161cd5c · outbound

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

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Federated learning in mobile edge networks: A comprehensive survey,

Reference 5

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Observation 7f5a9454-6278-426f-a6d5-41912e635976 · outbound

This paper cites Vertical federated learning: Concepts, advances, and challenges,.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Vertical federated learning: Concepts, advances, and challenges,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:29.297840Z

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Observation 287df500-aabb-41e0-b46b-12dd2fc98087 · outbound

This paper cites Vertical Federated Learning: Challenges, Methodologies and Experiments.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Vertical Federated Learning: Challenges, Methodologies and Experiments

Reference 7

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Observation 57899aaf-6a41-4acb-a691-e4680f69a0aa · outbound

This paper cites Noise removal in the presence of significant anomalies for industrial iot sensor data in manufacturing,.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Noise removal in the presence of significant anomalies for industrial iot sensor data in manufacturing,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:29.287340Z

Source-reported events for the cited work

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Observation 3c51c4ec-50f3-47c7-b778-51da7599b6d2 · outbound

This paper cites Online optimization of wireless powered mobile-edge computing for heterogeneous industrial internet of things,.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Online optimization of wireless powered mobile-edge computing for heterogeneous industrial internet of things,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:29.276387Z

Source-reported events for the cited work

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Observation 7e36d461-3fff-4312-9893-f5dbbd8f4177 · outbound

This paper cites In- dustrial internet of things: Challenges, opportunities, and directions,.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things In- dustrial internet of things: Challenges, opportunities, and directions,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:29.263161Z

Source-reported events for the cited work

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Observation 87529cd8-08ff-4424-89f9-c14a8cd2f563 · outbound

This paper cites Federated learning for industrial internet of things in future industries,.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Federated learning for industrial internet of things in future industries,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:29.249541Z

Source-reported events for the cited work

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Observation 9244c7d6-c80b-42aa-bb07-665cdeb5fa04 · outbound

This paper cites Fusion of feder- ated learning and industrial internet of things: A survey,.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Fusion of feder- ated learning and industrial internet of things: A survey,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:29.235156Z

Source-reported events for the cited work

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Observation afb6247d-5209-4d4c-8719-9653afe77655 · outbound

This paper cites Federated transfer learning based cross-domain prediction for smart manufac- turing,.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Federated transfer learning based cross-domain prediction for smart manufac- turing,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:29.220364Z

Source-reported events for the cited work

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Observation 6a477e4d-4230-41ee-a0e4-0618d711c803 · outbound

This paper cites An efficient and reliable asynchronous federated learning scheme for smart public transportation,.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things An efficient and reliable asynchronous federated learning scheme for smart public transportation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:29.207416Z

Source-reported events for the cited work

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Observation 02f1cd09-4f6e-48db-8b08-e94b6ff584a1 · outbound

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

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Secure and efficient federated learning for smart grid with edge- cloud collaboration,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:29.195124Z

Source-reported events for the cited work

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Observation 9e4c501f-bd41-423b-88a4-9db83bc5a86e · outbound

This paper cites Toward accurate anomaly detection in industrial internet of things using hierarchical federated learning,.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Toward accurate anomaly detection in industrial internet of things using hierarchical federated learning,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:29.177093Z

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.

Observation e1c86a5b-5374-4fbf-8982-b336c9ad7a36 · outbound

This paper cites Towards ever- evolution network threats: a hierarchical federated class-incremental learning approach for network intrusion detection in iiot,.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Towards ever- evolution network threats: a hierarchical federated class-incremental learning approach for network intrusion detection in iiot,

Reference 17

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Source-reported events for the cited work

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Observation 756edeb9-2481-411f-a0e3-eccceddce473 · outbound

This paper cites Federated learning for distributed iiot intrusion detection using transfer approaches,.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Federated learning for distributed iiot intrusion detection using transfer approaches,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:29.141175Z

Source-reported events for the cited work

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Observation 95ed5643-06f5-41e2-a434-bfd808f4bbcc · outbound

This paper cites On the local cache update rules in streaming federated learning,.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things On the local cache update rules in streaming federated learning,

Reference 19

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Observation 8b7405f3-c328-40b3-bc0d-ad1f033fc9b8 · outbound

This paper cites Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption

Reference 20

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Observation 82ca029e-e436-4b9e-b46b-3518d91036b5 · outbound

This paper cites From federated learning to federated neural architecture search: a survey,.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things From federated learning to federated neural architecture search: a survey,

Reference 21

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Observation 5aac53da-0cf0-4071-ab65-3e626c1579df · outbound

This paper cites Vertical federated learning-based feature selection with non-overlapping sample utilization,.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Vertical federated learning-based feature selection with non-overlapping sample utilization,

Reference 22

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Observation 5f382e02-4190-4578-9eaa-4581b721c121 · outbound

This paper cites Fedcvt: semi-supervised vertical federated learning with cross-view training,.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Fedcvt: semi-supervised vertical federated learning with cross-view training,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:29.089975Z

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Observation d7488857-376f-4537-9ab5-bb197811d09a · outbound

This paper cites Fair and efficient contribution valuation for vertical federated learning.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Fair and efficient contribution valuation for vertical federated learning

Reference 24

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Observation 8d198db6-acc6-437b-977a-78d21452e070 · outbound

This paper cites Label Leakage and Protection from Forward Embedding in Vertical Federated Learning.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Label Leakage and Protection from Forward Embedding in Vertical Federated Learning

Reference 25

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Observation f1bca495-7a67-4b63-8c55-580369ca125e · outbound

This paper cites Defending against Reconstruction Attack in Vertical Federated Learning.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Defending against Reconstruction Attack in Vertical Federated Learning

Reference 26

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Observation eb5cb097-70a9-418a-9683-92a3437391dd · outbound

This paper cites Flexible vertical federated learning with heterogeneous parties,.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Flexible vertical federated learning with heterogeneous parties,

Reference 27

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Observation aad357b6-eb57-4712-bc33-ae8e5e27fb2a · outbound

This paper cites Adaptive vertical federated learning on unbalanced fea- tures,.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Adaptive vertical federated learning on unbalanced fea- tures,

Reference 28

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Observation 1c5b0c5d-1858-4498-9a05-a07f2542629d · outbound

This paper cites Compressed-vfl: Communication-efficient learning with vertically partitioned data,.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Compressed-vfl: Communication-efficient learning with vertically partitioned data,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:29.055561Z

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Observation a5e3bdac-d33f-461a-9348-9b731add8d5f · outbound

This paper cites Computation and Communication Efficient Lightweighting Vertical Federated Learning for Smart Building IoT.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Computation and Communication Efficient Lightweighting Vertical Federated Learning for Smart Building IoT

Reference 30

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Observation b302db2d-4440-41ec-80a3-9a1c6eb69eea · outbound

This paper cites Exploiting data sparsity in secure cross-platform social recommendation,.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Exploiting data sparsity in secure cross-platform social recommendation,

Reference 31

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Observation 945c70f0-ed7c-470f-8219-468d25ab2a91 · outbound

This paper cites A homomorphic-encryption-based vertical federated learning scheme for rick management,.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things A homomorphic-encryption-based vertical federated learning scheme for rick management,

Reference 32

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Observation 4ba07e04-d230-4f7e-b9c3-231e980fa11d · outbound

This paper cites VAFL: a Method of Vertical Asynchronous Federated Learning.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things VAFL: a Method of Vertical Asynchronous Federated Learning

Reference 33

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Observation ac47fb33-27df-4cde-8be8-e3a05e5b26e5 · outbound

This paper cites Online deep learning: learning deep neural networks on the fly,.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Online deep learning: learning deep neural networks on the fly,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:29.023710Z

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Observation 2e62e4cc-4c5a-496d-b297-6e723f007175 · outbound

This paper cites Communication-efficient randomized algo- rithm for multi-kernel online federated learning,.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Communication-efficient randomized algo- rithm for multi-kernel online federated learning,

Reference 35

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Observation f0052071-5d3b-4202-a343-3e07a8f8f8cb · outbound

This paper cites Tighter regret analysis and opti- mization of online federated learning,.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Tighter regret analysis and opti- mization of online federated learning,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:28.995097Z

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Observation 71af24b0-539c-4800-9ef5-571ebecbce70 · outbound

This paper cites Online federated learning,.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Online federated learning,

Reference 37

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Observation daa63d1d-ef2d-404b-808e-277d172d0689 · outbound

This paper cites Online vertical federated learning for cooper- ative spectrum sensing,.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Online vertical federated learning for cooper- ative spectrum sensing,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:28.972118Z

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Observation b2737383-4d4f-4744-8c7a-b127f183ae56 · outbound

This paper cites Industrial wireless communications over the millimeter wave spectrum: opportunities and challenges,.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Industrial wireless communications over the millimeter wave spectrum: opportunities and challenges,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:28.959135Z

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Observation efc17c24-4b1f-4532-804b-294431c53ee7 · outbound

This paper cites Online gradient descent learning algorithms,.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Online gradient descent learning algorithms,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:28.947973Z

Source-reported events for the cited work

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Observation 0dbd934e-a2a3-4c79-b4b5-a0631bf31016 · outbound

This paper cites Zurawski, Industrial communication technology handbook.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Zurawski, Industrial communication technology handbook

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:28.934334Z

Source-reported events for the cited work

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Observation 64700436-9aef-43f2-92f3-29c3b124c1a8 · outbound

This paper cites Noise2noise: learning image restoration without clean data,.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Noise2noise: learning image restoration without clean data,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:28.921936Z

Source-reported events for the cited work

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Observation 2db04dfa-8458-46e2-b553-cd2f35334958 · outbound

This paper cites Noise2void-learning denoising from single noisy images,.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Noise2void-learning denoising from single noisy images,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:28.909376Z

Source-reported events for the cited work

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Observation 545e0006-bcf3-4b8d-a916-2f4245680eb3 · outbound

This paper cites Fedqogd: Federated quantized online gradient descent with distributed time-series data,.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Fedqogd: Federated quantized online gradient descent with distributed time-series data,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:28.896015Z

Source-reported events for the cited work

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Observation b722d1a8-b4a1-4724-8eda-3ed8027ea254 · outbound

This paper cites Deep reinforcement learning: A brief survey,.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Deep reinforcement learning: A brief survey,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:28.884292Z

Source-reported events for the cited work

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Observation 50b0b77c-7820-4953-a6b9-5ee7988162ec · outbound

This paper cites Actor-critic algorithms,.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Actor-critic algorithms,

Reference 46

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Observation b51daee4-bb1e-4fd3-9dc5-2e0d7da8c273 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Proximal Policy Optimization Algorithms

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:28.718505Z

Source-reported events for the cited work

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Observation 59ba749a-1280-4040-ac9c-d24de4054071 · outbound

This paper cites Damage propaga- tion modeling for aircraft engine run-to-failure simulation,.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things Damage propaga- tion modeling for aircraft engine run-to-failure simulation,

Reference 48

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Pith citing papers

Observation d08215eb-ff78-41f6-af5b-a4d06d730e6c · inbound

Multimodal Online Federated Learning with Modality Missing in Internet of Things cites this paper.

Multimodal Online Federated Learning with Modality Missing in Internet of Things Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things

Reference 4

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Observation 132a166a-c73e-4365-b290-cd8aa1c04e39 · inbound

MTF-Grasp: A Multi-tier Federated Learning Approach for Robotic Grasping cites this paper.

MTF-Grasp: A Multi-tier Federated Learning Approach for Robotic Grasping Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:42:58.726106Z

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