Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction | Paper Citation Record

Observation 829c5e5e-6802-4f27-96c7-07b17146979f · outbound

This paper cites Edge-native intelligence for 6g communications driven by federated learning: A survey of trends and challenges,.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Edge-native intelligence for 6g communications driven by federated learning: A survey of trends and challenges,

Reference 1

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This paper cites 6G White Paper on Edge Intelligence.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction 6G White Paper on Edge Intelligence

Reference 2

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This paper cites The roadmap to 6G: AI empowered wireless networks,.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction The roadmap to 6G: AI empowered wireless networks,

Reference 3

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This paper cites What should 6G be?.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction What should 6G be?

Reference 4

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Observation 6eea6e45-bc5f-44e7-ac05-5649f679be44 · outbound

This paper cites Federated learning for wireless communications: Motivation, opportunities, and challenges,.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Federated learning for wireless communications: Motivation, opportunities, and challenges,

Reference 5

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Observation 139b5829-3b3e-4fb7-9697-047af10686e4 · outbound

This paper cites Joint ran slicing and computation offloading for autonomous vehicular networks: A learning-assisted hierarchical approach,.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Joint ran slicing and computation offloading for autonomous vehicular networks: A learning-assisted hierarchical approach,

Reference 6

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Observation 4b8cfea4-9ecc-4c81-b96f-9a801914b6b0 · outbound

This paper cites Low-cost federated broad learning for privacy- preserved knowledge sharing in the ris-aided internet of vehicles,.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Low-cost federated broad learning for privacy- preserved knowledge sharing in the ris-aided internet of vehicles,

Reference 7

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This paper cites Detfed: Dynamic resource scheduling for deterministic federated learning over time-sensitive networks,.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Detfed: Dynamic resource scheduling for deterministic federated learning over time-sensitive networks,

Reference 8

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Observation b5b1e2f2-ccbf-42a9-8c76-f0ec1253e25b · outbound

This paper cites Transformer-Based Wireless Traffic Prediction and Network Optimization in O-RAN.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Transformer-Based Wireless Traffic Prediction and Network Optimization in O-RAN

Reference 9

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Observation 745a8d06-25b9-47e0-ac44-641ee5120c36 · outbound

This paper cites Core network traffic prediction based on vertical federated learning and split learning,.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Core network traffic prediction based on vertical federated learning and split learning,

Reference 10

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Observation 3aa27000-a407-48c2-b204-c1541203d899 · outbound

This paper cites Wireless traffic prediction with scalable gaussian process: Framework, algorithms, and verification,.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Wireless traffic prediction with scalable gaussian process: Framework, algorithms, and verification,

Reference 11

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Observation 7766d522-17f0-43a1-a93b-e1fc03a0684a · outbound

This paper cites Efficient wireless traffic prediction at the edge: A federated meta-learning approach,.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Efficient wireless traffic prediction at the edge: A federated meta-learning approach,

Reference 12

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Observation 913cb117-154d-4c6c-aff5-ef04fa8e4d26 · outbound

This paper cites Big data driven mobile traffic understanding and forecasting: A time series approach,.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Big data driven mobile traffic understanding and forecasting: A time series approach,

Reference 13

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Observation 0069e65f-79fa-4605-a4df-cf995651e8a6 · outbound

This paper cites Citywide cellular traffic prediction based on densely connected convolutional neural networks,.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Citywide cellular traffic prediction based on densely connected convolutional neural networks,

Reference 14

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Observation 5cf9d626-c76f-44b1-8ae2-714295c58422 · outbound

This paper cites Deeptp: An end-to-end neural network for mobile cellular traffic prediction,.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Deeptp: An end-to-end neural network for mobile cellular traffic prediction,

Reference 15

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Observation 5a3e7782-114d-460f-96d6-389ec2dd81c4 · outbound

This paper cites Deep transfer learning for intelligent cellular traffic prediction based on cross-domain big data,.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Deep transfer learning for intelligent cellular traffic prediction based on cross-domain big data,

Reference 16

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Observation 6e9540b7-80a7-42f0-a9d0-97b6cf0483e8 · outbound

This paper cites Spatial-temporal attention-convolution network for citywide cellular traffic prediction,.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Spatial-temporal attention-convolution network for citywide cellular traffic prediction,

Reference 17

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Observation c65f32b9-c244-42c2-b0a2-35e9f992abaf · outbound

This paper cites Spatio-temporal analysis and prediction of cellular traffic in metropolis,.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Spatio-temporal analysis and prediction of cellular traffic in metropolis,

Reference 18

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Observation cc086ab2-73f7-4a57-a842-b883a802cc57 · outbound

This paper cites Spatiotemporal modeling and prediction in cellular networks: A big data enabled deep learning approach,.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Spatiotemporal modeling and prediction in cellular networks: A big data enabled deep learning approach,

Reference 19

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Observation af32ade8-52ac-4c25-b53d-a0019fdc0730 · outbound

This paper cites Spatio-temporal wireless traffic prediction with recurrent neural network,.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Spatio-temporal wireless traffic prediction with recurrent neural network,

Reference 20

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Observation 917ddf08-daf2-4401-9943-3aa40b231c4d · outbound

This paper cites The learning and prediction of application-level traffic data in cellular networks,.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction The learning and prediction of application-level traffic data in cellular networks,

Reference 21

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This paper cites The prediction analysis of cellular radio access network traffic: From entropy theory to networking practice,.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction The prediction analysis of cellular radio access network traffic: From entropy theory to networking practice,

Reference 22

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This paper cites Time-wise attention aided convolutional neural network for data-driven cellular traffic prediction,.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Time-wise attention aided convolutional neural network for data-driven cellular traffic prediction,

Reference 23

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Observation e2326a4d-30e8-494c-9b7a-a777dfb8b7fa · outbound

This paper cites Federated Learning: Challenges, Methods, and Future Directions.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Federated Learning: Challenges, Methods, and Future Directions

Reference 24

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Observation a06c4725-0f18-40d4-81e4-c0201c7f3df9 · outbound

This paper cites Federated learning over wireless networks: Optimization model design and analysis,.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Federated learning over wireless networks: Optimization model design and analysis,

Reference 25

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Observation 565e3bdc-3962-4208-ad2b-b09bfe6af8ee · outbound

This paper cites Federated learning with compression: Unified analysis and sharp guarantees,.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Federated learning with compression: Unified analysis and sharp guarantees,

Reference 26

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Observation 65a8c915-d0b0-4179-b2e2-a62c819c5064 · outbound

This paper cites Federated Learning with Non-IID Data.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Federated Learning with Non-IID Data

Reference 27

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This paper cites Federated optimization in heterogeneous networks,.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Federated optimization in heterogeneous networks,

Reference 28

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This paper cites Sparsified SGD with Memory.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Sparsified SGD with Memory

Reference 29

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This paper cites Federated learning cellular traffic prediction based on multi-time scale information,.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Federated learning cellular traffic prediction based on multi-time scale information,

Reference 31

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Observation c53a655d-f7d4-4c41-9ac0-236c36ad64cb · outbound

This paper cites Communication-efficient wireless traffic prediction with federated learning,.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Communication-efficient wireless traffic prediction with federated learning,

Reference 32

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Observation 6e2d2a25-5c63-4558-81bd-3f913054e47b · outbound

This paper cites Wireless traffic prediction based on a gradient similarity federated aggregation algorithm,.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Wireless traffic prediction based on a gradient similarity federated aggregation algorithm,

Reference 33

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Observation 03d3c6f0-2037-46a4-8a21-aa73d6109528 · outbound

This paper cites Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 34

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Observation bd2c5d8a-062d-49da-8793-a0bd777edec1 · outbound

This paper cites Distributed stochastic optimization with gradient tracking over strongly- connected networks,.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Distributed stochastic optimization with gradient tracking over strongly- connected networks,

Reference 35

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This paper cites Gnsd: a gradient-tracking based nonconvex stochastic algorithm for decentralized optimization,.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Gnsd: a gradient-tracking based nonconvex stochastic algorithm for decentralized optimization,

Reference 36

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This paper cites EF21: A new, simpler, theoretically better, and practically faster error feedback,.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction EF21: A new, simpler, theoretically better, and practically faster error feedback,

Reference 37

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Observation ec762a83-2f0f-40ea-9cfc-1f209f6c3356 · outbound

This paper cites Traffic predictability based on ARIMA-GARCH model,.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Traffic predictability based on ARIMA-GARCH model,

Reference 38

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Observation fe4299d7-bca7-40df-8865-76d9b8232e1c · outbound

This paper cites Wireless traffic modeling and prediction using seasonal arima models,.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Wireless traffic modeling and prediction using seasonal arima models,

Reference 39

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Observation 10ebb3ec-1e8d-4974-8acf-791ee6b01bea · outbound

This paper cites Network traffic prediction based on deep belief network in wireless mesh backbone networks,.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Network traffic prediction based on deep belief network in wireless mesh backbone networks,

Reference 40

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Observation 451bc0b7-8372-4a4e-9c6e-529118bad636 · outbound

This paper cites Long-term mobile traffic forecasting using deep spatio-temporal neural networks,.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Long-term mobile traffic forecasting using deep spatio-temporal neural networks,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:35.431802Z

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Observation df202026-97a1-4166-a11f-b6ced8db8971 · outbound

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

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Privacy-preserving traffic flow prediction: A federated learning approach,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:35.582156Z

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Observation 0cfe39c2-5cdb-4925-b84f-f4e77c3c4a93 · outbound

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

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Dual attention-based federated learning for wireless traffic prediction,

Reference 43

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Observation 511505fc-a391-4116-8d87-6fc463a5dbd3 · outbound

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

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Communication-efficient learning of deep networks from decentralized data,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:35.407175Z

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Observation 50a6af14-1665-4504-994b-844bdbddc375 · outbound

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

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Learning private neural language modeling with attentive aggregation,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:35.392746Z

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Observation 1d472e0f-1f84-435b-96b6-907f5aa9f06e · outbound

This paper cites A multi-source dataset of urban life in the ity of Milan and the Province of Trentino,.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction A multi-source dataset of urban life in the ity of Milan and the Province of Trentino,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:35.378299Z

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Observation 536632da-4b85-4d5c-9ea6-20e89b8fd63f · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library,.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Pytorch: An imperative style, high-performance deep learning library,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:35.363708Z

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Observation 444ef69e-6b99-4f27-91a4-643ecd61373f · outbound

This paper cites His current research interests include the modeling, design, and performance analysis of wireless communication systems.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction His current research interests include the modeling, design, and performance analysis of wireless communication systems

Reference 1998

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:35.349200Z

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