Jiang Zhang
Cited by
Cited by
A deep reinforcement learning based offloading game in edge computing
Y Zhan, S Guo, P Li, J Zhang
IEEE Transactions on Computers 69 (6), 883-893, 2020
Free market of multi-leader multi-follower mobile crowdsensing: An incentive mechanism design by deep reinforcement learning
Y Zhan, CH Liu, Y Zhao, J Zhang, J Tang
IEEE Transactions on Mobile Computing 19 (10), 2316-2329, 2019
An incentive mechanism design for efficient edge learning by deep reinforcement learning approach
Y Zhan, J Zhang
IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 2489-2498, 2020
A novel learning-based global path planning algorithm for planetary rovers
J Zhang, Y Xia, G Shen
Neurocomputing 361, 69-76, 2019
An incentive mechanism design for mobile crowdsensing with demand uncertainties
Y Zhan, Y Xia, J Zhang, T Li, Y Wang
Information Sciences 528, 1-16, 2020
Crowdtraining: Architecture and incentive mechanism for deep learning training in the internet of things
Y Zhan, J Zhang, P Li, Y Xia
IEEE Network 33 (5), 89-95, 2019
{SANRAZOR}: Reducing Redundant Sanitizer Checks in {C/C++} Programs
J Zhang, S Wang, M Rigger, P He, Z Su
15th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2021
Crowdsensing game with demand uncertainties: a deep reinforcement learning approach
Y Zhan, Y Xia, J Zhang, T Li, Y Wang
arXiv preprint arXiv:1901.00733, 2018
Location leakage in federated signal maps
E Bakopoulou, J Zhang, J Ley, K Psounis, A Markopoulou
arXiv preprint arXiv:2112.03452, 2021
HARPO: Learning to Subvert Online Behavioral Advertising
J Zhang, K Psounis, M Haroon, Z Shafiq
Network and Distributed System Security (NDSS) Symposium 2022, 2021
Privacy-Utility Trades in Crowdsourced Signal Map Obfuscation
J Zhang, L Clark, M Clark, K Psounis, P Kairouz
Computer Networks 215, 2022
How Much Privacy Does Federated Learning with Secure Aggregation Guarantee?
AR Elkordy, J Zhang, YH Ezzeldin, K Psounis, S Avestimehr
23rd Privacy Enhancing Technologies Symposium (PETS 2023), 2022
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