Chaoyue Niu

Orcid: 0000-0001-7626-0317

According to our database¹, Chaoyue Niu authored at least 29 papers between 2015 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2023

An embarrassingly simple approach for visual navigation of forest environments.

[BibT_eX]

[DOI]

Frontiers Robotics AI, March, 2023

DC-CCL: Device-Cloud Collaborative Controlled Learning for Large Vision Models.

[BibT_eX]

[DOI]

CoRR, 2023

Device-Unimodal Cloud-Multimodal Collaboration for Livestreaming Content Understanding.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

KVSAgg: Secure Aggregation of Distributed Key-Value Sets.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Online Pricing With Reserve Price Constraint for Personal Data Markets.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Toward Verifiable and Privacy Preserving Machine Learning Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2022

Pricing GAN-based data generators under Rényi differential privacy.

[BibT_eX]

[DOI]

Inf. Sci., 2022

From Server-Based to Client-Based Machine Learning: A Comprehensive Survey.

[BibT_eX]

[DOI]

ACM Comput. Surv., 2022

One-Time Model Adaptation to Heterogeneous Clients: An Intra-Client and Inter-Image Attention Design.

[BibT_eX]

[DOI]

CoRR, 2022

On-Device Model Fine-Tuning with Label Correction in Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2022

On-Device Learning with Cloud-Coordinated Data Augmentation for Extreme Model Personalization in Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2022

Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 16th USENIX Symposium on Operating Systems Design and Implementation, 2022

Federated Submodel Optimization for Hot and Cold Data Features.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On-Device Learning for Model Personalization with Large-Scale Cloud-Coordinated Domain Adaption.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

ERATO: Trading Noisy Aggregate Statistics over Private Correlated Data.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2021

Federated Submodel Averaging.

[BibT_eX]

[DOI]

CoRR, 2021

Toward Understanding the Influence of Individual Clients in Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Toward Understanding the Influence of Individual Clients in Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Distributed Optimization over Block-Cyclic Data.

[BibT_eX]

[DOI]

CoRR, 2020

Distributed Non-Convex Optimization with Sublinear Speedup under Intermittent Client Availability.

[BibT_eX]

[DOI]

CoRR, 2020

Billion-scale federated learning on mobile clients: a submodel design with tunable privacy.

[BibT_eX]

[DOI]

Proceedings of the MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking, 2020

Low-viewpoint forest depth dataset for sparse rover swarms.

[BibT_eX]

[DOI]

Chaoyue Niu

Danesh Tarapore

Klaus-Peter Zauner

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

Achieving Data Truthfulness and Privacy Preservation in Data Markets.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2019

Secure Federated Submodel Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Making Big Money from Small Sensors: Trading Time-Series Data under Pufferfish Privacy.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

2018

Unlocking the Value of Privacy: Trading Aggregate Statistics over Private Correlated Data.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

ERA: Towards privacy preservation and verifiability for online ad exchanges.

[BibT_eX]

[DOI]

J. Netw. Comput. Appl., 2017

Trading Data in Good Faith: Integrating Truthfulness and Privacy Preservation in Data Markets.

[BibT_eX]

[DOI]

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2015

An Efficient, Privacy-Preserving, and Verifiable Online Auction Mechanism for Ad Exchanges.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Global Communications Conference, 2015

Chaoyue Niu

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