We stand with Ukraine

We stand with Ukraine

Gang Yan

Orcid: 0000-0002-7734-1589

Affiliations:

Jilin University, Changchun, China
University of California Merced, CA, USA (2024 - 2025)
Binghamton University, NY, USA (PhD 2023)

According to our database¹, Gang Yan authored at least 13 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

Online presence:

on orcid.org
on dl.acm.org

On csauthors.net:

Bibliography

2024

Enhancing Model Poisoning Attacks to Byzantine-Robust Federated Learning via Critical Learning Periods.

[BibT_eX]

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Proceedings of the 27th International Symposium on Research in Attacks, 2024

Straggler-Resilient Decentralized Learning via Adaptive Asynchronous Updates.

[BibT_eX]

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Proceedings of the Twenty-fifth International Symposium on Theory, 2024

FedRoLA: Robust Federated Learning Against Model Poisoning via Layer-based Aggregation.

[BibT_eX]

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Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations.

[BibT_eX]

[DOI]

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Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Reinforcement Learning for Dynamic Dimensioning of Cloud Caches: A Restless Bandit Approach.

[BibT_eX]

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IEEE/ACM Trans. Netw., October, 2023

CriticalFL: A Critical Learning Periods Augmented Client Selection Framework for Efficient Federated Learning.

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Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness.

[BibT_eX]

[DOI]

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Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Towards Latency Awareness for Content Delivery Network Caching.

[BibT_eX]

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Proceedings of the 2022 USENIX Annual Technical Conference, 2022

Seizing Critical Learning Periods in Federated Learning.

[BibT_eX]

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Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Critical Learning Periods in Federated Learning.

[BibT_eX]

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CoRR, 2021

Straggler-Resilient Distributed Machine Learning with Dynamic Backup Workers.

[BibT_eX]

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CoRR, 2021

Learning from optimal caching for content delivery.

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Proceedings of the CoNEXT '21: The 17th International Conference on emerging Networking EXperiments and Technologies, Virtual Event, Munich, Germany, December 7, 2021

2020

RL-Bélády: A Unified Learning Framework for Content Caching.

[BibT_eX]

[DOI]

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Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

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