1k citations · 2.3k across the 48 of their papers we have counts for
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Towards a Systematic Survey for Carbon Neutral Data Centers
Zhiwei Cao, Xin Zhou, Han Hu +2
Data centers are carbon-intensive enterprises due to their massive energy consumption, and it is estimated that data center industry will account for 8\% of global carbon emissions…
ModelCI-e: Enabling Continual Learning in Deep Learning Serving Systems
Yizheng Huang, Huaizheng Zhang, Yonggang Wen +2
MLOps is about taking experimental ML models to production, i.e., serving the models to actual users. Unfortunately, existing ML serving systems do not adequately handle the dynami…
Towards Unsupervised Domain Adaptation for Deep Face Recognition under Privacy Constraints via Federated Learning
Weiming Zhuang, Xin Gan, Yonggang Wen +3
Unsupervised domain adaptation has been widely adopted to generalize models for unlabeled data in a target domain, given labeled data in a source domain, whose data distributions d…
ModelPS: An Interactive and Collaborative Platform for Editing Pre-trained Models at Scale
Yuanming Li, Huaizheng Zhang, Shanshan Jiang +3
AI engineering has emerged as a crucial discipline to democratize deep neural network (DNN) models among software developers with a diverse background. In particular, altering thes…
EasyFL: A Low-code Federated Learning Platform For Dummies
Weiming Zhuang, Xin Gan, Yonggang Wen +1
Academia and industry have developed several platforms to support the popular privacy-preserving distributed learning method -- Federated Learning (FL). However, these platforms ar…
A Serverless Cloud-Fog Platform for DNN-Based Video Analytics with Incremental Learning
Huaizheng Zhang, Meng Shen, Yizheng Huang +4
DNN-based video analytics have empowered many new applications (e.g., automated retail). Meanwhile, the proliferation of fog devices provides developers with more design options to…
On the Practicality of Differential Privacy in Federated Learning by Tuning Iteration Times
Yao Fu, Yipeng Zhou, Di Wu +3
In spite that Federated Learning (FL) is well known for its privacy protection when training machine learning models among distributed clients collaboratively, recent studies have…