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Tianyi Chen
Tianyi Chen
Bestätigte E-Mail-Adresse bei rpi.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
LAG: Lazily aggregated gradient for communication-efficient distributed learning
T Chen, G Giannakis, T Sun, W Yin
Advances in Neural Information Processing Systems, 5055-5065, 2018
3162018
RSA: Byzantine-robust stochastic aggregation methods for distributed learning from heterogeneous datasets
L Li, W Xu, T Chen, GB Giannakis, Q Ling
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1544-1551, 2019
2932019
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
2302017
Communication-efficient distributed learning via lazily aggregated quantized gradients
J Sun, T Chen, G Giannakis, Z Yang
Advances in Neural Information Processing Systems, 3370-3380, 2019
174*2019
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
1722020
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
1442020
Bandit convex optimization for scalable and dynamic IoT management
T Chen, GB Giannakis
IEEE Internet of Things Journal 6 (1), 1276-1286, 2018
1402018
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, 994-1006, 2021
1282021
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
126*2022
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, 2021
109*2021
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
95*2021
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
94*2016
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
902019
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
762021
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
712015
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
682019
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
662016
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
612016
Real-time energy management in microgrids with reduced battery capacity requirements
B Li, T Chen, X Wang, GB Giannakis
IEEE Transactions on Smart Grid 10 (2), 1928-1938, 2017
582017
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
532021
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