| 9:00am – 9:30am |
Introduction and Welcome Speech |
| 9:30am – 10:30am |
Keynote Speech: Co-enhancing of Large and Small Models in Heterogeneous Federated Learning Yang Liu, Tsinghua University, Beijing, China |
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| 10:30am – 11:00am |
Break |
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| 11:00am – 12:30pm |
Oral Session 1. Session Chairs: Prof. Shadi Albarqouni and PhD Marzia Canzaniello |
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| 11:00am – 11:20pm |
Exploring Gradient Subspaces: Addressing and Overcoming LoRA’s Limitations in Federated Fine-Tuning of Large Language Models |
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Authors: Navyansh Mahla, Kshitij Sharad Jadhav and Ganesh Ramakrishnan. ArXiv: https://arxiv.org/abs/2410.23111. |
| 11:20am – 11:40pm |
Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning |
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Authors: Dipanwita Thakur, Antonella Guzzo, Giancarlo Fortino and Sajal K. Das. ArXiv: https://doi.org/10.48550/arXiv.2412.11660. |
| 11:40am – 12:00pm |
SplitFedZip: Learned Compression for Data Transfer Reduction in Split-Federated Learning |
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Authors: Chamani Shiranthika Jayakody Kankanamalage, Hadi Hadizadeh, Parvaneh Saeedi and Ivan Bajic. ArXiv: https://arxiv.org/abs/2412.17150. |
| 12:00am – 12:20pm |
The Impact of Cut Layer Selection in Split Federated Learning |
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Authors: Justin Dachille, Chao Huang and Xin Liu. ArXiv: https://arxiv.org/abs/2412.15536. |
| 12:20am – 12:40pm |
FedGA: Federated Learning with Gradient Alignment for Error Asymmetry Mitigation |
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Authors: Chenguang Xiao, Zheming Zuo and Shuo Wang. ArXiv: https://arxiv.org/abs/2412.16582. |
| 12:40pm – 2:00pm |
Lunch (on your own; no sponsored lunch provided) |
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| 2:00pm – 3:30pm |
Oral Session 2: Session Chair: PhD Daniela Annunziata and PhD Marzia Canzaniello |
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| 2:00pm – 3:00pm |
Keynote Speech: From Theory to Practice: Addressing Challenges of Real-World Federated Learning Holger Roth, NVIDIA, USA |
| 3:00pm – 3:20pm |
FLAMe: Federated Learning with Attention Mechanism using Spatio-Temporal Keypoint Transformers for Pedestrian Fall Detection in Smart Cities |
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Authors: Byeonghun Kim and Byeongjoon Noh. ArXiv: https://arxiv.org/abs/2412.14768. |
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| 3:20pm – 4:00pm |
Break |
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| 4:00pm – 4:20pm |
Federated Learning for Coronary Artery Plaque Detection in Atherosclerosis Using IVUS Imaging: A Multi-Hospital Collaboration |
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Authors: Chiu-Han Hsiao, Kai Chen, Tsung-Yu Peng and Wei-Chieh Huang. ArXiv: https://arxiv.org/abs/2412.15307. |
| 4:20pm – 4:40pm |
Differentiated Aggregation to Improve Generalization in Federated Learning |
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Authors: Peyman Gholami and Hulya Seferoglu. ArXiv: https://arxiv.org/abs/2404.11754. |
| 4:40pm – 5:00pm |
FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks |
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Authors: Siddharth Ambekar, Yuhang Yao, Ryan Li and Carlee Joe-Wong. ArXiv: http://arxiv.org/abs/2412.16144. |
| 5:00pm – 5:15pm |
Concluding Remarks and Closing Session |
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