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 | 133 | 2021 |
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 | 56 | 2018 |
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 | 25 | 2017 |
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 | 14* | 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 | 7 | 2018 |
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 | 6 | 2021 |
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 | 4 | 2022 |
Improving the Robustness and Accuracy of Deep Learning Deployment on Edge Devices E Cidon Stanford University, 2021 | | 2021 |