DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT | Paper Citation Record

Observation f4bd4cad-9de5-481e-8981-3a67df044316 · outbound

This paper cites A joint energy and latency framework for transfer learning over 5g industrial edge networks.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT A joint energy and latency framework for transfer learning over 5g industrial edge networks

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.589505Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3a761e27-6268-4c4b-aeab-575047504d82 · outbound

This paper cites Reconfigurable intelligent surface assisted mobile edge computing with heterogeneous learning tasks.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT Reconfigurable intelligent surface assisted mobile edge computing with heterogeneous learning tasks

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.586704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e9af6bd5-6f44-47b7-9d8e-b1370718c0a2 · outbound

This paper cites A federated learning-based industrial health prognostics for heterogeneous edge devices using matched feature extraction.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT A federated learning-based industrial health prognostics for heterogeneous edge devices using matched feature extraction

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.592238Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c240245e-df83-4572-8251-3debda62ed73 · outbound

This paper cites Device-edge cooperative fine-tuning of foundation models as a 6g service.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT Device-edge cooperative fine-tuning of foundation models as a 6g service

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.602822Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a4349d2e-03d6-4e97-b63c-d9d29f93e1c1 · outbound

This paper cites Digital twin-driven madrl approaches for communication-computing- control co-optimization.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT Digital twin-driven madrl approaches for communication-computing- control co-optimization

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.597698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c4ce9e5b-116c-4c29-89d6-911a838a994b · outbound

This paper cites Security and privacy for reconfigurable intelligent surface in 6g: A review of prospective applications and challenges.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT Security and privacy for reconfigurable intelligent surface in 6g: A review of prospective applications and challenges

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.583790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a274200a-cf74-4e1b-ac17-2bca6b19591a · outbound

This paper cites Decentralized federated learning with asynchronous parameter sharing for large-scale iot networks.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT Decentralized federated learning with asynchronous parameter sharing for large-scale iot networks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.600255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6641f6f9-b842-415e-b402-0cb19f2eacb9 · outbound

This paper cites Deploying federated learning in large-scale cellular networks: Spatial convergence analysis.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT Deploying federated learning in large-scale cellular networks: Spatial convergence analysis

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.594873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation be79d839-c355-4e28-99b6-2182ea411a67 · outbound

This paper cites Slmfed: A stage- based and layerwise mechanism for incremental federated learning to assist dynamic and ubiquitous iot.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT Slmfed: A stage- based and layerwise mechanism for incremental federated learning to assist dynamic and ubiquitous iot

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.605326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 15f8ce1e-1056-454e-921c-5827cd5c7f51 · outbound

This paper cites Efficient parallel split learning over resource-constrained wireless edge networks.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT Efficient parallel split learning over resource-constrained wireless edge networks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.483743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2949b7bc-d185-4e70-be9f-cfc55204c3a3 · outbound

This paper cites User- level privacy-preserving federated learning: Analysis and performance optimization.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT User- level privacy-preserving federated learning: Analysis and performance optimization

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.548698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 57e2b807-f509-42a2-9d22-a79d9bb50b9c · outbound

This paper cites Differentially private asynchronous federated learning for mobile edge computing in urban informatics.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT Differentially private asynchronous federated learning for mobile edge computing in urban informatics

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.581107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 08f60b7e-b8d1-4dad-bf7d-cde8fd8533c0 · outbound

This paper cites Pbfl: A privacy-preserving blockchain-based federated learning frame- work with homomorphic encryption and single masking.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT Pbfl: A privacy-preserving blockchain-based federated learning frame- work with homomorphic encryption and single masking

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.476062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 54f1e64e-8903-4948-81e3-0b4d5206c412 · outbound

This paper cites Securesl: A privacy-preserving vertical cooperative learning scheme for web 3.0.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT Securesl: A privacy-preserving vertical cooperative learning scheme for web 3.0

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.478447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation dd657c15-321c-444e-b809-b51709b6a479 · outbound

This paper cites Communication-efficient privacy-preserving neural network inference via arithmetic secret sharing.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT Communication-efficient privacy-preserving neural network inference via arithmetic secret sharing

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.473095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 30575c49-1f51-4d2f-a371-3f6158b81e98 · outbound

This paper cites Nspfl: A novel secure and privacy-preserving federated learning with data integrity auditing.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT Nspfl: A novel secure and privacy-preserving federated learning with data integrity auditing

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.470672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a8873113-43d7-4fd7-88de-deab52f6433e · outbound

This paper cites Distributed learning in wireless networks: Recent progress and future challenges.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT Distributed learning in wireless networks: Recent progress and future challenges

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.467894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0bdddca9-7ac8-4f0d-b666-9cf5a7496cb3 · outbound

This paper cites Distributed and secure federated learning for wireless computing power networks.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT Distributed and secure federated learning for wireless computing power networks

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.465509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation daad07b7-c73d-4137-ab47-59fe257b1238 · outbound

This paper cites Trustworthy federated learning against malicious attacks in web 3.0.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT Trustworthy federated learning against malicious attacks in web 3.0

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.491147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4b8541de-a099-4e3d-8aa8-06b737818420 · outbound

This paper cites Ma- chine learning with adversaries: Byzantine tolerant gradient descent.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT Ma- chine learning with adversaries: Byzantine tolerant gradient descent

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.578493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e83e7d6c-d282-4402-b951-282df4fb972c · outbound

This paper cites FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T04:02:01.667461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e3c01c64-42e5-4c8b-aee5-a6adc5543c15 · outbound

This paper cites Manipulating the byzantine: Opti- mizing model poisoning attacks and defenses for federated learning.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT Manipulating the byzantine: Opti- mizing model poisoning attacks and defenses for federated learning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.575890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 03461d06-5a27-4384-82bf-4cef3dc22012 · outbound

This paper cites A scheme for robust federated learning with privacy-preserving based on krum agr.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT A scheme for robust federated learning with privacy-preserving based on krum agr

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.570299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation dacd439d-b804-4773-b449-e899a870bf5e · outbound

This paper cites Biscotti: A blockchain system for private and secure federated learning.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT Biscotti: A blockchain system for private and secure federated learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.564857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6d4f6beb-fdc1-49b7-8118-ca35b114d315 · outbound

This paper cites Rflpa: A robust federated learning framework against poisoning attacks with secure aggregation.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT Rflpa: A robust federated learning framework against poisoning attacks with secure aggregation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.562268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b44732e4-5eda-43c9-86a0-597847128ba8 · outbound

This paper cites Shieldfl: Mitigating model poisoning attacks in privacy-preserving federated learning.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT Shieldfl: Mitigating model poisoning attacks in privacy-preserving federated learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.559081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fafa60ef-e262-4b5d-bf06-a4cbfde384de · outbound

This paper cites Flod: Oblivious defender for private byzantine-robust federated learning with dishonest- majority.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT Flod: Oblivious defender for private byzantine-robust federated learning with dishonest- majority

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.556414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b9df9ff4-b9d0-4c4e-a20f-e967207f1bd9 · outbound

This paper cites Dpfla: defending private federated learning against poisoning attacks.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT Dpfla: defending private federated learning against poisoning attacks

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.553818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5f1d7f4f-1dad-4e36-b013-f73ca83d51c7 · outbound

This paper cites Privacy-preserving federated learning for industrial edge computing via hybrid differential privacy and adaptive compression.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT Privacy-preserving federated learning for industrial edge computing via hybrid differential privacy and adaptive compression

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.551183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e27a9527-1459-472c-a713-b9eee44c6789 · outbound

This paper cites Fl2dp: Privacy-preserving federated learning via differential privacy for artificial iot.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT Fl2dp: Privacy-preserving federated learning via differential privacy for artificial iot

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.545717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7732484e-1cb4-4128-9366-4ba85b7093ed · outbound

This paper cites Towards adaptive privacy protection for interpretable federated learning.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT Towards adaptive privacy protection for interpretable federated learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.526490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ee6a7c51-158d-4efe-8e85-f8ef3c67d9f9 · outbound

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

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT Practical secure aggregation for privacy-preserving machine learning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.523597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 19a58ac6-5d35-4ecf-a99e-c3ab296c32fe · outbound

This paper cites Blockchain-based efficiently privacy-preserving federated learning framework using shamir secret sharing.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT Blockchain-based efficiently privacy-preserving federated learning framework using shamir secret sharing

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.521160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 49b52089-cb46-47f1-a500-fb3ca57868f0 · outbound

This paper cites Ho- momorphic encryption-enabled federated learning for privacy-preserving intrusion detection in resource-constrained iov networks.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT Ho- momorphic encryption-enabled federated learning for privacy-preserving intrusion detection in resource-constrained iov networks

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.518684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 66bf26c5-ac74-432c-9007-571101b212db · outbound

This paper cites P 3: Privacy-preserving prediction of real-time energy demands in ev charging networks.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT P 3: Privacy-preserving prediction of real-time energy demands in ev charging networks

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.516359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3e6bcd1e-934d-46eb-9421-889d0a767546 · outbound

This paper cites Privacy- preserving byzantine-robust federated learning via blockchain systems.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT Privacy- preserving byzantine-robust federated learning via blockchain systems

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.513795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 428bc780-3005-4592-9979-77551ed9e20c · outbound

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

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT Communication-efficient learning of deep networks from decentralized data

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.511496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c8cf0091-b0bf-4dca-a970-cda3da6f2a5a · outbound

This paper cites The limitations of federated learning in sybil settings.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT The limitations of federated learning in sybil settings

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.508910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 98bc0d52-752d-4cb1-aa22-899b2ef110e1 · outbound

This paper cites Local model poisoning attacks to {Byzantine-Robust} federated learning.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT Local model poisoning attacks to {Byzantine-Robust} federated learning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.506596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 14d67c91-2814-4a9c-88c7-267c54da6097 · outbound

This paper cites Securing smart grids through an incentive mechanism for blockchain-based data sharing.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT Securing smart grids through an incentive mechanism for blockchain-based data sharing

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.504036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2b67e7ad-199e-4d7f-88a3-849869903259 · outbound

This paper cites Blockchain for the internet of vehicles towards intelligent transportation systems: A survey.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT Blockchain for the internet of vehicles towards intelligent transportation systems: A survey

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.501674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a49c76d0-234f-4ee6-9974-ed9226a06e2d · outbound

This paper cites Svd approach to data unfolding.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT Svd approach to data unfolding

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.498702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1042e549-559b-46ea-8f75-b865855873b7 · outbound

This paper cites K-means based constellation optimization for index modulated reconfigurable intelligent surfaces.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT K-means based constellation optimization for index modulated reconfigurable intelligent surfaces

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.572951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ff2bbd8f-c6f2-4747-b4ae-7cee44874b03 · outbound

This paper cites Multi-attribute auction-based resource allocation for twins migration in vehicular metaverses: A gpt-based drl approach.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT Multi-attribute auction-based resource allocation for twins migration in vehicular metaverses: A gpt-based drl approach

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.496381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5501832e-e804-4366-bee7-033d14ddd44c · outbound

This paper cites How to simulate it–a tutorial on the simulation proof technique.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT How to simulate it–a tutorial on the simulation proof technique

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.493415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d52693da-f3e7-4b79-bdb4-6fa3ca4e4289 · outbound

This paper cites Gradient-based learning applied to document recognition.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT Gradient-based learning applied to document recognition

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.488446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2311e3e5-bfef-4fc4-803c-95400a78e64d · outbound

This paper cites A data poisoning resistible and privacy protection federated-learning mechanism for ubiquitous iot.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT A data poisoning resistible and privacy protection federated-learning mechanism for ubiquitous iot

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.481229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a4242c56-173f-43e3-873b-18601da71283 · outbound

This paper cites How to backdoor federated learning.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT How to backdoor federated learning

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T04:02:02.486149Z

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Observation 59cd8e75-1f35-474b-8f9b-13599571eb1b · outbound

This paper cites Poisoning Attacks against Support Vector Machines.

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT Poisoning Attacks against Support Vector Machines

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-05-19T04:02:01.671209Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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