עקוב אחר
Tianyi Chen
Tianyi Chen
Assistant Professor, Department of ECSE, Rensselaer Polytechnic Institute
כתובת אימייל מאומתת בדומיין rpi.edu - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
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
4372019
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
3802018
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
2402020
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
227*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
2162021
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
2042020
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
168*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
1652022
Bandit convex optimization for scalable and dynamic IoT management‏
T Chen, GB Giannakis‏
IEEE Internet of Things Journal 6 (1), 1276-1286, 2018‏
1622018
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
144*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
1092019
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
1052021
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
102*2016
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
952022
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
742021
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
712016
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
672016
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מאמרים 1–20