31 citations · 58 across the 8 of their papers we have counts for
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cs.LG2023
PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks
Shiwei Ding, Lan Zhang, Miao Pan +1
Collaborative inference has been a promising solution to enable resource-constrained edge devices to perform inference using state-of-the-art deep neural networks (DNNs). In collab…
cs.LG2023★ 31 cited
AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous Edge Devices
Peichun Li, Guoliang Cheng, Xumin Huang +4
In this work, we investigate the challenging problem of on-demand federated learning (FL) over heterogeneous edge devices with diverse resource constraints. We propose a cost-adjus…