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Eyal Cidon
Eyal Cidon
ML Systems Researcher and Engineer
Verifierad e-postadress på alumni.stanford.edu
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Network offloading policies for cloud robotics: a learning-based approach
S Chinchali, A Sharma, J Harrison, A Elhafsi, D Kang, E Pergament, ...
Autonomous Robots 45 (7), 997-1012, 2021
1132021
Neural networks meet physical networks: Distributed inference between edge devices and the cloud
SP Chinchali, E Cidon, E Pergament, T Chu, S Katti
Proceedings of the 17th ACM Workshop on Hot Topics in Networks, 50-56, 2018
522018
Appswitch: Application-layer load balancing within a software switch
E Cidon, S Choi, S Katti, N McKeown
Proceedings of the First Asia-Pacific Workshop on Networking, 64-70, 2017
232017
Sampling Training Data for Continual Learning Between Robots and the Cloud
S Chinchali, E Pergament, M Nakanoya, E Cidon, E Zhang, D Bharadia, ...
arXiv preprint arXiv:2012.06739, 2020
10*2020
Trevor: Automatic configuration and scaling of stream processing pipelines
M Bansal, E Cidon, A Balasingam, A Gudipati, C Kozyrakis, S Katti
arXiv preprint arXiv:1812.09442, 2018
72018
Characterizing and taming model instability across edge devices
E Cidon, E Pergament, Z Asgar, A Cidon, S Katti
Proceedings of Machine Learning and Systems 3, 624-636, 2021
52021
A tale of two models: Constructing evasive attacks on edge models
W Hao, A Awatramani, J Hu, C Mao, PC Chen, E Cidon, A Cidon, J Yang
Proceedings of Machine Learning and Systems 4, 414-429, 2022
42022
Improving the Robustness and Accuracy of Deep Learning Deployment on Edge Devices
E Cidon
Stanford University, 2021
2021
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Artiklar 1–8