Towards Cost-Efficient Federated Multi-agent RL with Learnable Aggregation

Paper

Zhang, Y., Wang, S., Chen, Z., Xu, X., Funiak, S. and Liu, J.. 2024. "Towards Cost-Efficient Federated Multi-agent RL with Learnable Aggregation." Advances in Knowledge Discovery and Data Mining. PAKDD 2024. https://doi.org/10.1007/978-981-97-2253-2_14

Paper/Presentation Title	Towards Cost-Efficient Federated Multi-agent RL with Learnable Aggregation
Presentation Type	Paper
Authors	Zhang, Y., Wang, S., Chen, Z., Xu, X., Funiak, S. and Liu, J.
Year	2024
Digital Object Identifier (DOI)	https://doi.org/10.1007/978-981-97-2253-2_14
Conference/Event	Advances in Knowledge Discovery and Data Mining. PAKDD 2024
Event Details	Advances in Knowledge Discovery and Data Mining. PAKDD 2024
ANZSRC Field of Research 2020	4602. Artificial intelligence

Permalink -

https://research.usq.edu.au/item/zyx49/towards-cost-efficient-federated-multi-agent-rl-with-learnable-aggregation

0
total views
0
total downloads
0
views this month
0
downloads this month

Export as

Related outputs

DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection

Lim, JS., Chen, Z., Chen, Z., Baktashmotlagh, M., Yu, X., Huang, Z. and Luo, Y.. "DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection." Proceedings of the 38th International Conference on Neural Information Processing Systems (NeurIPS) 2024. https://doi.org/10.5555/3737916.3738697

Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration Error

Wang, Z., Luo, Y., Chen, Z., Wang, S. and Huang, Z.. "Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration Error." Proceedings of the 31st ACM International Conference on Multimedia 2023. https://doi.org/10.1145/3581783.3611808

Pixel Exclusion: Uncertainty-aware Boundary Discovery for Active Cross-Domain Semantic Segmentation

You, F., Li, J., Chen, Z. and Zhu, L.. "Pixel Exclusion: Uncertainty-aware Boundary Discovery for Active Cross-Domain Semantic Segmentation." Proceedings of the 30th ACM International Conference on Multimedia 2022. https://doi.org/10.1145/3503161.3548079

Distinguishing Unseen from Seen for Generalized Zero-shot Learning

Su, H., Chen, Z., Chen, Z., Zhu, L. and Lu, K.. "Distinguishing Unseen from Seen for Generalized Zero-shot Learning." IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022. https://doi.org/10.1109/CVPR52688.2022.00773

Semantics Disentangling for Generalized Zero-Shot Learning

Chen, Z., Luo, Y., Qiu, R., Wang, S., Huang, Z. and Zhang, Z.. "Semantics Disentangling for Generalized Zero-Shot Learning." IEEE/CVF International Conference on Computer Vision (ICCV) 2021. https://doi.org/10.1109/ICCV48922.2021.00859

Rethinking Generative Zero-Shot Learning: An Ensemble Learning Perspective for Recognising Visual Patches

Chen, Z., Wang, S., Li, J. and Huang, Z.. "Rethinking Generative Zero-Shot Learning: An Ensemble Learning Perspective for Recognising Visual Patches." ACM International Conference on Multimedia. https://doi.org/10.1145/3394171.341381

Canzsl: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language

Chen, Z., Li, J., Luo, Y., Huang, Z. and Yang, Yang. "Canzsl: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language." IEEE/CVF Winter Conference on Applications of Computer Vision. https://doi.org/10.1109/WACV45572.2020.9093610

Cycle-Consistent Diverse Image Synthesis from Natural Language

Chen, Z. and Luo, Y.. "Cycle-Consistent Diverse Image Synthesis from Natural Language." IEEE International Conference on Multimedia and Expo. https://doi.org/10.1109/ICMEW.2019.00085

Dynamic Target Distribution Estimation for Source-Free Open-Set Domain Adaptation

Zhiqi Yu, Zhichao Liao, Jingjing Li, Chen, Z. and Lei Zhu. "Dynamic Target Distribution Estimation for Source-Free Open-Set Domain Adaptation." AAAI Conference on Artificial Intelligence. https://doi.org/10.1609/aaai.v39i21.34380

Continual Text-to-Video Retrieval with Frame Fusion and Task-Aware Routing

Zhao, Z., Chen, Z., Huang, Z., Sadiq, S. and Chen, T.. 2025. "Continual Text-to-Video Retrieval with Frame Fusion and Task-Aware Routing." SIGIR '25: Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval. https://doi.org/10.1145/3726302.3729936

Snap and diagnose: An advanced multimodal retrieval system for identifying plant diseases in the wild

Wei, T., Chen, Z. and Yu, X.. 2024. "Snap and diagnose: An advanced multimodal retrieval system for identifying plant diseases in the wild." Proceedings of the 6th ACM International Conference on Multimedia in Asia. https://doi.org/10.1145/3696409.3700293

Benchmarking In-the-wild Multimodal Disease Recognition and A Versatile Baseline

Wei, T., Chen, Z., Huang, Z. and Yu, X.. 2024. "Benchmarking In-the-wild Multimodal Disease Recognition and A Versatile Baseline." Proceedings of the 32nd ACM International Conference on Multimedia 2024. https://doi.org/10.1145/3664647.3680599

Secondary analysis of newly diagnosed type 2 diabetes subgroups and treatment responses in the MARCH cohort

Wang, W., Li, X., Chen, F., Wei, R., Chen, Z., Li, J., Qiao, J., Pan, Q., Yang, W. and Guo, L.. 2023. "Secondary analysis of newly diagnosed type 2 diabetes subgroups and treatment responses in the MARCH cohort." Diabetes & Metabolic Syndrome: Clinical Research & Reviews. https://doi.org/10.1016/j.dsx.2023.102936

Optimizing taxi route planning based on taxi trajectory data analysis

Yang. X., Chen, Z. and Luo, Y.. 2023. "Optimizing taxi route planning based on taxi trajectory data analysis." Australasian Database Conference 2023. https://doi.org/10.1007/978-3-031-47843-7_4

Zero-Shot Learning by Harnessing Adversarial Samples

Chen, Z., Zhang, P., Li, J., Wang, S. and Huang, Z.. 2023. "Zero-Shot Learning by Harnessing Adversarial Samples." Proceedings of the 31st ACM International Conference on Multimedia 2023. https://doi.org/10.1145/3581783.3611823

FluMA: An Intelligent Platform for Influenza Monitoring and Analysis

Chen, X., Chen, Z., Wang, Z., Qiu, R. and Luo, Y.. 2022. "FluMA: An Intelligent Platform for Influenza Monitoring and Analysis." Australasian Database Conference 2022. https://doi.org/10.1007/978-3-031-15512-3_12

GSMFlow: Generation Shifts Mitigating Flow for Generalized Zero-Shot Learning

Chen, Z., Luo, Y., Wang, S., Li, J. and Huang, Z.. 2022. "GSMFlow: Generation Shifts Mitigating Flow for Generalized Zero-Shot Learning." IEEE Transactions on Multimedia. https://doi.org/10.1109/TMM.2022.3190678

Application of Novel Subgroups of Chinese Inpatients with Diabetes Based on Machine Learning Paradigm

Wang, W., Chen, Z., Wang, S., Chen, F., Deng, M., Pan, Q. and Guo, L.. 2022. "Application of Novel Subgroups of Chinese Inpatients with Diabetes Based on Machine Learning Paradigm." Diabetes & Metabolic Syndrome: Clinical Research & Reviews. https://doi.org/10.1016/j.dsx.2022.102556

Domain Adaptive Semantic Segmentation Without Source Data

You, F., Li, J., Zhu, L., Chen, Z. and Huang, Z.. 2021. "Domain Adaptive Semantic Segmentation Without Source Data." Proceedings of the 29th ACM International Conference on Multimedia 2021. https://doi.org/10.1145/3474085.347548

Application of New International Classification of Adult‐Onset Diabetes in Chinese Inpatients with Diabetes Mellitus

Wang, W., Pei, X., Zhang, L., Chen, Z., Lin, D., Duan, X., Fan, J., Pan, Q. and Guo, L.. 2021. "Application of New International Classification of Adult‐Onset Diabetes in Chinese Inpatients with Diabetes Mellitus." Diabetes - Metabolism: Research and Reviews. https://doi.org/10.1002/dmrr.3427