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 | 352 | 2019 |
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 | 336 | 2018 |
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 | 246 | 2017 |
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 | 198 | 2020 |
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 | 192* | 2019 |
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 | 174 | 2020 |
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 | 171 | 2021 |
Bandit convex optimization for scalable and dynamic IoT management T Chen, GB Giannakis IEEE Internet of Things Journal 6 (1), 1276-1286, 2018 | 151 | 2018 |
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 | 136 | 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, 25294-25307, 2021 | 130* | 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 | 121* | 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 | 99* | 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 | 97 | 2019 |
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 | 87 | 2021 |
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 | 75 | 2019 |
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 | 75 | 2015 |
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 | 70 | 2022 |
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 | 68 | 2016 |
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 | 65 | 2021 |
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 | 65 | 2016 |