Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning | Paper Citation Record

Observation b7739c2b-e2f5-4a97-962d-f090c86caaa0 · outbound

This paper cites A communication-efficient federated learning scheme for IoT-based traffic forecasting,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning A communication-efficient federated learning scheme for IoT-based traffic forecasting,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.635309Z

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Observation d544de63-5b24-4cc5-9959-152d55049c82 · outbound

This paper cites HCP: Heterogeneous computing platform for federated learning based collaborative content caching towards 6G networks,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning HCP: Heterogeneous computing platform for federated learning based collaborative content caching towards 6G networks,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.619851Z

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Observation 07a5c663-27be-447c-b975-67d25f15d70d · outbound

This paper cites Unsupervised deep learning for iot time series,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Unsupervised deep learning for iot time series,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.605048Z

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Observation 152d4f57-a8e0-4b96-8082-669fed03773e · outbound

This paper cites AI-empowered network root cause analysis for 6G,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning AI-empowered network root cause analysis for 6G,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.589883Z

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Observation 1cef0638-41d3-419a-b2e8-2f556c17f11e · outbound

This paper cites TimeAutoML: Autonomous representation learning for multivariate irregularly sampled time series,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning TimeAutoML: Autonomous representation learning for multivariate irregularly sampled time series,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.575352Z

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Observation 74b9af91-1cea-46bd-8173-59da1eb907d7 · outbound

This paper cites Anomaly detection in event-triggered traffic time series via similarity learning,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Anomaly detection in event-triggered traffic time series via similarity learning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.560099Z

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Observation 8bd27489-9f91-448a-9395-537fbf610537 · outbound

This paper cites Active learning for wireless iot intrusion detection,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Active learning for wireless iot intrusion detection,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.544804Z

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Observation c62e9b4c-bc4e-48b2-ab84-162054580f18 · outbound

This paper cites Pc2a: Predicting collective contextual anomalies via lstm with deep generative model,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Pc2a: Predicting collective contextual anomalies via lstm with deep generative model,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.530253Z

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Observation 397b3269-6a46-4672-a4e8-98f8d2da4b9b · outbound

This paper cites LNTP: An end-to-end online prediction model for network traffic,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning LNTP: An end-to-end online prediction model for network traffic,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.516317Z

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Observation b2995f0c-90ca-47d2-975c-179287ac14d7 · outbound

This paper cites Toward QoS prediction based on temporal transformers for IoT applications,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Toward QoS prediction based on temporal transformers for IoT applications,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.501650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f9f1e97f-b8b3-4382-a9cd-ed0f6813b1c2 · outbound

This paper cites Cellular traffic prediction via deep state space models with attention mechanism,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Cellular traffic prediction via deep state space models with attention mechanism,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.487236Z

Source-reported events for the cited work

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Observation 6185228c-4e97-427c-bf1d-29f06114332f · outbound

This paper cites Optimiza- tion design for federated learning in heterogeneous 6G networks,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Optimiza- tion design for federated learning in heterogeneous 6G networks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.470281Z

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Observation 8451a66d-9976-4984-94b2-59e1d628ac78 · outbound

This paper cites Inverting gradients - how easy is it to break privacy in federated learning?.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Inverting gradients - how easy is it to break privacy in federated learning?

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.455854Z

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Observation 27ba58d4-94c5-4a25-9983-6e0d137ee3c3 · outbound

This paper cites Differential privacy in deep learning: An overview,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Differential privacy in deep learning: An overview,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.441206Z

Source-reported events for the cited work

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Observation 8c1a4117-749d-44d4-ae8a-e716fb596f9c · outbound

This paper cites A robust game- theoretical federated learning framework with joint differential privacy,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning A robust game- theoretical federated learning framework with joint differential privacy,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.424586Z

Source-reported events for the cited work

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Observation c68a6a84-92b6-41bd-9f8a-9133b5725d59 · outbound

This paper cites Distributionally robust federated learning for differentially private data,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Distributionally robust federated learning for differentially private data,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.408935Z

Source-reported events for the cited work

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Observation e8c97193-5997-4be8-a1cf-b3f551ee7c5e · outbound

This paper cites Distributed robust optimization (DRO) part I: Framework and example,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Distributed robust optimization (DRO) part I: Framework and example,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.394026Z

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Observation b284a7d5-6ada-4d31-bcd6-6de2915aa226 · outbound

This paper cites Distributed robust optimization for communication networks,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Distributed robust optimization for communication networks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.378521Z

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Observation 6e95c836-2c88-4b05-8fa7-733b474a7857 · outbound

This paper cites Machine learning with adversaries: Byzantine tolerant gradient descent,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Machine learning with adversaries: Byzantine tolerant gradient descent,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.362573Z

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Observation d60921c0-626c-4513-814e-bbfcbcf3a2f5 · outbound

This paper cites Byzantine-robust distributed learning: Towards optimal statistical rates,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Byzantine-robust distributed learning: Towards optimal statistical rates,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.337743Z

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Observation e135a387-b254-4888-96cf-6d99cbc78135 · outbound

This paper cites Certifiably Byzantine-robust federated conformal prediction,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Certifiably Byzantine-robust federated conformal prediction,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.322985Z

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Observation 72fff356-148c-463a-8f1c-50d6608b1fdc · outbound

This paper cites RSA: byzantine- robust stochastic aggregation methods for distributed learning from heterogeneous datasets,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning RSA: byzantine- robust stochastic aggregation methods for distributed learning from heterogeneous datasets,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.308592Z

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Observation ef3fd120-5e64-4bfe-b877-51c303db8e47 · outbound

This paper cites Bridging differential privacy and Byzantine- robustness via model aggregation,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Bridging differential privacy and Byzantine- robustness via model aggregation,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.293594Z

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Observation 74b5a2b1-5abd-412f-a551-eb3a800fb3db · outbound

This paper cites Differentially private byzantine-robust federated learning,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Differentially private byzantine-robust federated learning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.276750Z

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Observation 9d96349c-8d30-4a81-b9ac-96eaa84c3f29 · outbound

This paper cites MetaSTNet: Multimodal meta-learning for cellular traffic conformal prediction,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning MetaSTNet: Multimodal meta-learning for cellular traffic conformal prediction,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.261407Z

Source-reported events for the cited work

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Observation 8adf6c02-78fa-4445-9e91-8e853d20a38a · outbound

This paper cites TimeMixer: Decomposable multiscale mixing for time series forecasting,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning TimeMixer: Decomposable multiscale mixing for time series forecasting,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.245915Z

Source-reported events for the cited work

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Observation 4cb996d8-f922-48ed-bcb0-519e234c81e8 · outbound

This paper cites FedGRU: Privacy- preserving traffic flow prediction via federated learning,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning FedGRU: Privacy- preserving traffic flow prediction via federated learning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.230786Z

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Observation a99960d9-f893-4d0e-8a09-c65518d67cc3 · outbound

This paper cites Privacy-preserving traffic flow prediction: A federated learning approach,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Privacy-preserving traffic flow prediction: A federated learning approach,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.214525Z

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Observation c36baa79-5a59-4db3-91a3-3b9b99f07318 · outbound

This paper cites Fed-NTP: A federated learning algo- rithm for network traffic prediction in V ANET,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Fed-NTP: A federated learning algo- rithm for network traffic prediction in V ANET,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.196902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1ffcb9cf-100f-4fe3-934b-e7f51c05d31c · outbound

This paper cites Centralized and federated learning for predictive VNF autoscaling in multi-domain 5G networks and beyond,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Centralized and federated learning for predictive VNF autoscaling in multi-domain 5G networks and beyond,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.179481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e36985a4-7e30-4f2e-9a4c-480d3375b2c1 · outbound

This paper cites FASTGNN: A topological information protected federated learning approach for traffic speed forecasting,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning FASTGNN: A topological information protected federated learning approach for traffic speed forecasting,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.162846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4a95e419-cd99-48b5-8588-5590f2d73b42 · outbound

This paper cites Short-term traffic flow prediction based on graph convolutional networks and federated learning,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Short-term traffic flow prediction based on graph convolutional networks and federated learning,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.146584Z

Source-reported events for the cited work

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Observation 0ad7fc4b-c922-4597-a404-6f8d37e07795 · outbound

This paper cites Privacy-preserving cross-area traffic forecasting in ITS: A transferable spatial-temporal graph neural network approach,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Privacy-preserving cross-area traffic forecasting in ITS: A transferable spatial-temporal graph neural network approach,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.129612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cb4e3ed9-663d-4629-adc3-495736d87d06 · outbound

This paper cites Federated optimization in heterogeneous networks,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Federated optimization in heterogeneous networks,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T14:22:50.126206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be3f32a4-55d7-46f8-9f28-f693a9d06bff · outbound

This paper cites Learning private neural language modeling with attentive aggregation,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Learning private neural language modeling with attentive aggregation,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.103483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7c8c15d7-268b-465e-8de7-612e5f9e4ecd · outbound

This paper cites Dual attention- based federated learning for wireless traffic prediction,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Dual attention- based federated learning for wireless traffic prediction,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.088801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 272d5a83-7d71-4e5f-8f52-5dcd9edc8ed1 · outbound

This paper cites Differential privacy for deep and federated learning: A survey,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Differential privacy for deep and federated learning: A survey,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.073813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ec16a918-2572-4177-ac49-3389ce0d5d29 · outbound

This paper cites Privacy in Deep Learning: A Survey.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Privacy in Deep Learning: A Survey

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T14:22:50.146066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d06e7fa-b958-4e7c-b8fb-e3c0b3588ed8 · outbound

This paper cites Privacy- preserving approach PBCN in social network with differential privacy,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Privacy- preserving approach PBCN in social network with differential privacy,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.057891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 86db1ef7-d72c-485a-9af1-6d8eee3cdd9f · outbound

This paper cites FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T14:22:50.154466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af45b8d1-08ce-4021-9d91-dcd91b6f4a98 · outbound

This paper cites Performance-enhanced federated learning with differential privacy for Internet of things,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Performance-enhanced federated learning with differential privacy for Internet of things,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.043171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fbf7410c-f4f1-4d5a-9a0b-33bd1ee44672 · outbound

This paper cites Federated learning with differential privacy: Algorithms and performance analysis,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Federated learning with differential privacy: Algorithms and performance analysis,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.027962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fb3a9450-8624-47ab-ae82-9718b76e2669 · outbound

This paper cites Personalized federated learning with differential privacy,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Personalized federated learning with differential privacy,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:51.011915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 510c0384-57ee-4451-b3a0-e67e59d872ba · outbound

This paper cites Towards efficient and privacy-preserving federated deep learning,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Towards efficient and privacy-preserving federated deep learning,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:50.996256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 73517ffe-09cf-4edd-9937-dea89c9774b5 · outbound

This paper cites On differential privacy for federated learning in wireless systems with multiple base stations,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning On differential privacy for federated learning in wireless systems with multiple base stations,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:50.981276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 07911358-9adb-494a-8847-8995aefa299e · outbound

This paper cites GRNN: Generative regression neural network—a data leakage attack for federated learning,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning GRNN: Generative regression neural network—a data leakage attack for federated learning,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:50.966496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3881c8c1-5c1f-47f8-a97a-2f178e338766 · outbound

This paper cites Byzantine machine learning: A primer,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Byzantine machine learning: A primer,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:50.951941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e8694dd1-5ac1-4c03-a185-b84b1617b85b · outbound

This paper cites Byzantine fault tolerance in distributed machine learning : a survey,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Byzantine fault tolerance in distributed machine learning : a survey,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:50.936175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 08c6b61c-c82b-40fb-bb6c-a376c2e1dfba · outbound

This paper cites An experimental study of Byzantine-robust aggregation schemes in federated learning,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning An experimental study of Byzantine-robust aggregation schemes in federated learning,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T14:22:50.198828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a8f3417-33f1-44fa-b776-5ea39a14b8c9 · outbound

This paper cites DRACO: byzantine-resilient distributed training via redundant gradients,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning DRACO: byzantine-resilient distributed training via redundant gradients,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:50.919719Z

Source-reported events for the cited work

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Observation 4bd16110-e009-4753-8657-8f2ee6c6975c · outbound

This paper cites DETOX: A redundancy-based framework for faster and more robust gradient aggregation,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning DETOX: A redundancy-based framework for faster and more robust gradient aggregation,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:50.905289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4f44420e-94c8-4fea-93c7-3e1d7ac7ec60 · outbound

This paper cites FLTrust: Byzantine-robust federated learning via trust bootstrapping,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning FLTrust: Byzantine-robust federated learning via trust bootstrapping,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:50.889892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 39d84078-cacc-4b3f-9643-79d8bb16c5c4 · outbound

This paper cites Distributed statistical machine learning in adversarial settings: Byzantine gradient descent,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Distributed statistical machine learning in adversarial settings: Byzantine gradient descent,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:50.875373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 88145af5-7e61-4039-bb84-2cf7cff3bb85 · outbound

This paper cites Byzantine-robust aggregation in federated learning empowered industrial IoT,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Byzantine-robust aggregation in federated learning empowered industrial IoT,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:50.860451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 70d55bb2-3e3a-4c6b-bfda-2208319a59df · outbound

This paper cites Learning from history for Byzantine robust optimization,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Learning from history for Byzantine robust optimization,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:50.845070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 041f6923-9de1-49db-aac1-db6c99a6f1da · outbound

This paper cites Distributed distributionally robust optimization with non-convex objectives,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Distributed distributionally robust optimization with non-convex objectives,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:50.830640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ccc06cb3-b767-4221-bfb0-141fc500e778 · outbound

This paper cites Gradient-based Bi-level Optimization for Deep Learning: A Survey.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Gradient-based Bi-level Optimization for Deep Learning: A Survey

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T14:22:50.238544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12da4457-5050-47c0-a995-ae828936f2e1 · outbound

This paper cites Fair resource allocation in federated learning,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Fair resource allocation in federated learning,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:50.815366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0e2a2919-b3e7-4acd-a1f1-0e331612281d · outbound

This paper cites Asynchronous distributed bilevel optimization,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Asynchronous distributed bilevel optimization,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:50.799162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f088d6b8-b358-43e5-b11f-8b7eab7868be · outbound

This paper cites Agnostic federated learning,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Agnostic federated learning,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:50.784172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 74fbef67-88bc-4c01-ab80-e7b7468d1ba1 · outbound

This paper cites Distributionally robust federated averaging,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Distributionally robust federated averaging,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:50.768667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 714c2c79-7023-41b4-b180-0a6bbe35959c · outbound

This paper cites Data-driven distributionally robust op- timization using the Wasserstein metric: Performance guarantees and tractable reformulations,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Data-driven distributionally robust op- timization using the Wasserstein metric: Performance guarantees and tractable reformulations,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:50.751453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7b937606-a4d0-42f5-bc5c-ce5377b490a5 · outbound

This paper cites On the rate of convergence in Wasserstein distance of the empirical measure,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning On the rate of convergence in Wasserstein distance of the empirical measure,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:50.734298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f719ec10-59b9-4316-bfa5-fba8e68c2fec · outbound

This paper cites Distributionally-robust machine learning using locally differentially-private data,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Distributionally-robust machine learning using locally differentially-private data,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:50.716764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5d1ee27d-e996-43ce-958d-d6e925151ecd · outbound

This paper cites Bilevel optimization: Convergence analysis and enhanced design,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Bilevel optimization: Convergence analysis and enhanced design,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:50.702250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c834a373-dd32-4014-92b1-cffdf6311dd0 · outbound

This paper cites Convergence of meta-learning with task-specific adaptation over partial parameters,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Convergence of meta-learning with task-specific adaptation over partial parameters,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:50.687662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 772c2e1e-bec7-42f8-9f2d-76eba2287518 · outbound

This paper cites The suplementary content,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning The suplementary content,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:50.672825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bd423b32-9c51-4ef0-96f0-ab1d24e4416b · outbound

This paper cites Telecommunications - SMS, Call, Internet - MI,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Telecommunications - SMS, Call, Internet - MI,

Reference 68

Resolution: malformed identifier; no resolver link, observed 2026-08-07T14:22:50.292591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71142aa4-98a8-4929-86bc-9da16880f6a7 · outbound

This paper cites Social Pulse - Milano,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Social Pulse - Milano,

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T14:22:50.297672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef54c9f6-79ca-4cbf-bac4-3c5579502d46 · outbound

This paper cites MilanoToday,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning MilanoToday,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:50.656696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9cc65245-c8b1-4dce-8753-82006379a28b · outbound

This paper cites Telecommunications - SMS, Call, Internet - TN,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Telecommunications - SMS, Call, Internet - TN,

Reference 71

Resolution: malformed identifier; no resolver link, observed 2026-08-07T14:22:50.307635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbbbeee8-2a40-4e62-be4e-73e1fe33d01a · outbound

This paper cites Social Pulse - Trentino,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Social Pulse - Trentino,

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T14:22:50.312715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c793023c-3688-4b07-8dca-f4287073560e · outbound

This paper cites TrentoToday,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning TrentoToday,

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T14:22:50.317726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc367ffb-b5e5-4308-92c5-0575f8f91ce1 · outbound

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

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning User- level privacy-preserving federated learning: Analysis and performance optimization,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:50.630954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6b2fe8ff-e489-47be-9634-e5d39c233671 · outbound

This paper cites Available: https://proceedings.neurips.cc/paper/2017/ hash/f4b9ec30ad9f68f89b29639786cb62ef-Abstract.html.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Available: https://proceedings.neurips.cc/paper/2017/ hash/f4b9ec30ad9f68f89b29639786cb62ef-Abstract.html

Reference 129

Resolution: unresolved; no resolver link, observed 2026-08-07T14:22:49.944467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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