Követés
Jiaojiao Zhang
Cím
Hivatkozott rá
Hivatkozott rá
Év
A Newton tracking algorithm with exact linear convergence for decentralized consensus optimization
J Zhang, Q Ling, AMC So
IEEE Transactions on Signal and Information Processing over Networks 7, 346-358, 2021
272021
Efficient reconstruction of density matrices for high dimensional quantum state tomography
J Zhang, K Li, S Cong, H Wang
Signal Processing 139, 136-142, 2017
192017
An efficient and fast quantum state estimator with sparse disturbance
J Zhang, S Cong, Q Ling, K Li
IEEE transactions on cybernetics 49 (7), 2546-2555, 2018
162018
A penalty alternating direction method of multipliers for convex composite optimization over decentralized networks
J Zhang, H Liu, AMC So, Q Ling
IEEE Transactions on Signal Processing 69, 4282-4295, 2021
142021
Quantum state filter with disturbance and noise
J Zhang, S Cong, Q Ling, K Li, H Rabitz
IEEE Transactions on Automatic Control 65 (7), 2856-2866, 2019
112019
Variance-reduced stochastic quasi-newton methods for decentralized learning
J Zhang, H Liu, AMC So, Q Ling
IEEE Transactions on Signal Processing 71, 311-326, 2023
82023
A communication-efficient decentralized newton's method with provably faster convergence
H Liu, J Zhang, AMC So, Q Ling
IEEE Transactions on Signal and Information Processing over Networks, 2023
72023
Byzantine-robust and communication-efficient personalized federated learning
X He, J Zhang, Q Ling
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
22023
Variance-reduced stochastic quasi-Newton methods for decentralized learning—Part II: Damped limited-memory DFP and BFGS methods
J Zhang, H Liu, AMC So, Q Ling
arXiv preprint arXiv:2201.07733, 2022
22022
Variance-reduced stochastic quasi-Newton methods for decentralized learning—Part I: General framework
J Zhang, H Liu, AMC So, Q Ling
arXiv preprint arXiv:2201.07699, 2022
22022
Dynamic privacy allocation for locally differentially private federated learning with composite objectives
J Zhang, D Fay, M Johansson
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
12024
Composite federated learning with heterogeneous data
J Zhang, J Hu, M Johansson
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
12024
Achieving consensus over compact submanifolds
J Hu, J Zhang, K Deng
arXiv preprint arXiv:2306.04769, 2023
12023
Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data
J Zhang, J Hu, AMC So, M Johansson
arXiv preprint arXiv:2406.08465, 2024
2024
Differentially Private Online Federated Learning with Correlated Noise
J Zhang, L Zhu, M Johansson
arXiv preprint arXiv:2403.16542, 2024
2024
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