595 citations · 3.6k across the 131 of their papers we have counts for
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cs.LG2022★ 66 cited
Joint Privacy Enhancement and Quantization in Federated Learning
Natalie Lang, Elad Sofer, Tomer Shaked +1
Federated learning (FL) is an emerging paradigm for training machine learning models using possibly private data available at edge devices. The distributed operation of FL gives ri…
cs.LG2022★ 6 cited
Decentralized Low-Latency Collaborative Inference via Ensembles on the Edge
May Malka, Erez Farhan, Hai Morgenstern +1
The success of deep neural networks (DNNs) is heavily dependent on computational resources. While DNNs are often employed on cloud servers, there is a growing need to operate DNNs…