Παρακολούθηση
Tianyi Chen
Tianyi Chen
Assistant Professor, Department of ECSE, Rensselaer Polytechnic Institute
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα rpi.edu - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
RSA: Byzantine-robust stochastic aggregation methods for distributed learning from heterogeneous datasets
L Li, W Xu, T Chen, GB Giannakis, Q Ling
AAAI Conference on Artificial Intelligence 33 (01), 1544-1551, 2019
4292019
LAG: Lazily aggregated gradient for communication-efficient distributed learning
T Chen, G Giannakis, T Sun, W Yin
Advances in neural information processing systems 31, 2018
3792018
An online convex optimization approach to proactive network resource allocation
T Chen, Q Ling, GB Giannakis
IEEE Transactions on Signal Processing 65 (24), 6350-6364, 2017
2682017
Federated variance-reduced stochastic gradient descent with robustness to byzantine attacks
Z Wu, Q Ling, T Chen, GB Giannakis
IEEE Transactions on Signal Processing 68, 4583-4596, 2020
2372020
Communication-efficient distributed learning via lazily aggregated quantized gradients
J Sun, T Chen, G Giannakis, Z Yang
Advances in Neural Information Processing Systems 32, 2019
226*2019
Cafe: Catastrophic data leakage in vertical federated learning
X Jin, PY Chen, CY Hsu, CM Yu, T Chen
Advances in Neural Information Processing Systems 34, 2021
2132021
Vafl: a method of vertical asynchronous federated learning
T Chen, X Jin, Y Sun, W Yin
ICML Workshop on Federated Learning for User Privacy and Data Confidentiality, 2020
2022020
Closing the gap: Tighter analysis of alternating stochastic gradient methods for bilevel problems
T Chen, Y Sun, W Yin
Advances in Neural Information Processing Systems 34, 25294-25307, 2021
163*2021
A single-timescale method for stochastic bilevel optimization
T Chen, Y Sun, Q Xiao, W Yin
International Conference on Artificial Intelligence and Statistics, 2466-2488, 2022
1602022
Bandit convex optimization for scalable and dynamic IoT management
T Chen, GB Giannakis
IEEE Internet of Things Journal 6 (1), 1276-1286, 2018
1602018
Communication-efficient policy gradient methods for distributed reinforcement learning
T Chen, K Zhang, GB Giannakis, T Başar
IEEE Transactions on Control of Network Systems 9 (2), 917-929, 2021
141*2021
Learning and management for Internet of Things: Accounting for adaptivity and scalability
T Chen, S Barbarossa, X Wang, GB Giannakis, ZL Zhang
Proceedings of the IEEE 107 (4), 778-796, 2019
1082019
Robust workload and energy management for sustainable data centers
T Chen, Y Zhang, X Wang, GB Giannakis
IEEE Journal on Selected Areas in Communications 34 (3), 651-664, 2016
103*2016
Solving stochastic compositional optimization is nearly as easy as solving stochastic optimization
T Chen, Y Sun, W Yin
IEEE Transactions on Signal Processing 69, 4937-4948, 2021
1022021
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning
M Abbas, Q Xiao, L Chen, PY Chen, T Chen
Proceedings of International Conference on Machine Learning, 2022
962022
Random feature-based online multi-kernel learning in environments with unknown dynamics
Y Shen, T Chen, GB Giannakis
The Journal of Machine Learning Research 20 (1), 773-808, 2019
842019
Cooling-aware energy and workload management in data centers via stochastic optimization
T Chen, X Wang, GB Giannakis
IEEE Journal of Selected Topics in Signal Processing 10 (2), 402-415, 2015
802015
Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning
S Lu, K Zhang, T Chen, T Basar, L Horesh
Proceedings of the AAAI Conference on Artificial Intelligence, 2021
732021
Dynamic energy management for smart-grid-powered coordinated multipoint systems
X Wang, Y Zhang, T Chen, GB Giannakis
IEEE Journal on Selected Areas in Communications 34 (5), 1348-1359, 2016
702016
DGLB: Distributed stochastic geographical load balancing over cloud networks
T Chen, AG Marques, GB Giannakis
IEEE Transactions on Parallel and Distributed Systems 28 (7), 1866-1880, 2016
692016
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