Kahou Tam

Orcid: 0000-0001-5816-6837

According to our database1, Kahou Tam authored at least 10 papers between 2023 and 2024.

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

Timeline

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Links

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Bibliography

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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