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