Kahou Tam

Orcid: 0000-0001-5816-6837

According to our database1, Kahou Tam authored at least 11 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2023
2024
2025
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Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Federated Noisy Client Learning.
IEEE Trans. Neural Networks Learn. Syst., January, 2025

2024
Breaking the Memory Wall for Heterogeneous Federated Learning via Model Splitting.
IEEE Trans. Parallel Distributed Syst., December, 2024

When, Where, and What? A Novel Benchmark for Accident Anticipation and Localization with Large Language Models.
CoRR, 2024

Towards Federated Domain Unlearning: Verification Methodologies and Challenges.
CoRR, 2024

Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving.
CoRR, 2024

FedHybrid: Breaking the Memory Wall of Federated Learning via Hybrid Tensor Management.
Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024

CRASH: Crash Recognition and Anticipation System Harnessing with Context-Aware and Temporal Focus Attentions.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

When, Where, and What? A Benchmark for Accident Anticipation and Localization with Large Language Models.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

CDSTraj: Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
Breaking On-device Training Memory Wall: A Systematic Survey.
CoRR, 2023

FedCoop: Cooperative Federated Learning for Noisy Labels.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023


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