Client-wise Modality Selection for Balanced Multi-modal Federated Learning

no code implementations • 31 Dec 2023 • Yunfeng Fan, Wenchao Xu, Haozhao Wang, Penghui Ruan, Song Guo

Selecting proper clients to participate in the iterative federated learning (FL) rounds is critical to effectively harness a broad range of distributed datasets.

Federated Learning Selection bias

MGAS: Multi-Granularity Architecture Search for Trade-Off Between Model Effectiveness and Efficiency

no code implementations • 23 Oct 2023 • Xiaoyun Liu, Divya Saxena, Jiannong Cao, Yuqing Zhao, Penghui Ruan

However, existing DAS methods fail to trade off between model performance and model size.

Neural Architecture Search