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Yao Fu
Yao Fu
Ph.D. student, The University of Edinburgh
Verified email at ed.ac.uk - Homepage
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Year
Ekko: A {Large-Scale} deep learning recommender system with {Low-Latency} model update
C Sima, Y Fu, MK Sit, L Guo, X Gong, F Lin, J Wu, Y Li, H Rong, PL Aublin, ...
16th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2022
222022
On the practicality of differential privacy in federated learning by tuning iteration times
Y Fu, Y Zhou, D Wu, S Yu, Y Wen, C Li
arXiv preprint arXiv:2101.04163, 2021
92021
Optimizing the numbers of queries and replies in convex federated learning with differential privacy
Y Zhou, X Liu, Y Fu, D Wu, JH Wang, S Yu
IEEE Transactions on Dependable and Secure Computing, 2023
82023
The role of communication time in the convergence of federated edge learning
Y Zhou, Y Fu, Z Luo, M Hu, D Wu, QZ Sheng, S Yu
IEEE Transactions on Vehicular Technology 71 (3), 3241-3254, 2022
82022
Torchopt: An efficient library for differentiable optimization
J Ren, X Feng, B Liu, X Pan, Y Fu, L Mai, Y Yang
Journal of Machine Learning Research 24 (367), 1-14, 2023
72023
MoE-Infinity: Activation-Aware Expert Offloading for Efficient MoE Serving
L Xue, Y Fu, Z Lu, L Mai, M Marina
arXiv preprint arXiv:2401.14361, 2024
22024
Privacy-preserving edge video analytics
M Hu, Y Fu, D Wu
Fog/Edge Computing For Security, Privacy, and Applications, 171-190, 2021
22021
Robust size estimation of online social networks via subgraph sampling
Y Jiang, Y Fu, Y Zhou, D Wu
IEEE Transactions on Network Science and Engineering 7 (4), 2702-2713, 2020
22020
ServerlessLLM: Locality-Enhanced Serverless Inference for Large Language Models
Y Fu, L Xue, Y Huang, AO Brabete, D Ustiugov, Y Patel, L Mai
arXiv preprint arXiv:2401.14351, 2024
2024
Optimizing the Numbers of Queries and Replies in Federated Learning with Differential Privacy
Y Zhou, X Liu, Y Fu, D Wu, C Li, S Yu
arXiv preprint arXiv:2107.01895, 2021
2021
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