Follow
Haibo Yang
Title
Cited by
Cited by
Year
Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning
H Yang, M Fang, J Liu
Proceedings of ICLR, 2021
3052021
Anarchic Federated Learning
H Yang, X Zhang, P Khanduri, J Liu
International Conference on Machine Learning, 2022
802022
Stem: A stochastic two-sided momentum algorithm achieving near-optimal sample and communication complexities for federated learning
P Khanduri, P Sharma, H Yang, M Hong, J Liu, K Rajawat, P Varshney
Advances in Neural Information Processing Systems 34, 6050-6061, 2021
772021
Byzantine-resilient stochastic gradient descent for distributed learning: A lipschitz-inspired coordinate-wise median approach
H Yang, X Zhang, M Fang, J Liu
2019 IEEE 58th Conference on Decision and Control (CDC), 5832-5837, 2019
542019
Over-the-Air Federated Learning with Joint Adaptive Computation and Power Control
H Yang, P Qiu, J Liu, A Yener
IEEE ISIT 2022, 2022
262022
CFedAvg: Achieving Efficient Communication and Fast Convergence in Non-IID Federated Learning
H Yang, J Liu, ES Bentley
IEEE/IFIP WiOpt 2021, 2021
242021
Net-fleet: Achieving linear convergence speedup for fully decentralized federated learning with heterogeneous data
X Zhang, M Fang, Z Liu, H Yang, J Liu, Z Zhu
Proc. ACM MobiHoc 2022, 2022
162022
CHARLES: Channel-Quality-Adaptive Over-the-Air Federated Learning over Wireless Networks
J Mao, H Yang, P Qiu, J Liu, A Yener
IEEE SPAWC 2022, 2022
162022
Federated Multi-Objective Learning
H Yang, Z Liu, J Liu, C Dong, M Momma
NeurIPS 2023, 2023
152023
Sagda: Achieving O (ϵ− 2) communication complexity in federated min-max learning
H Yang, Z Liu, X Zhang, J Liu
NeurIPS 2022, 2022
14*2022
Taming Fat-Tailed ("Heavier-Tailed'' with Potentially Infinite Variance) Noise in Federated Learning
H Yang, P Qiu, J Liu
NeurIPS 2022, 2022
112022
Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach
P Khanduri, H Yang, M Hong, J Liu, H Wai, S Liu
Proc. ICLR, 2022
62022
Do We Really Need to Design New Byzantine-robust Aggregation Rules?
M Fang, S Nabavirazavi, Z Liu, W Sun, SS Iyengar, H Yang
NDSS 2025, 2025
32025
Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning
T Zhou, FNU Hairi, H Yang, J Liu, T Tong, F Yang, M Momma, Y Gao
ICML 2024, 2024
32024
PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization
M Xu, P Ju, J Liu, H Yang
AAAI 2025, 2024
22024
Adversarial Attacks to Multi-Modal Models
Z Dou, X Hu, H Yang, Z Liu, M Fang
arXiv preprint arXiv:2409.06793, 2024
22024
Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization
Z Li, B Ying, Z Liu, H Yang
ICLR 2025, 2024
22024
On the Efficacy of Server-Aided Federated Learning against Partial Client Participation
H Yang, P Qiu, P Khanduri, J Liu
22022
Can We Theoretically Quantify the Impacts of Local Updates on the Generalization Performance of Federated Learning?
P Ju, H Yang, J Liu, Y Liang, N Shroff
Proceedings of the Twenty-fifth International Symposium on Theory …, 2024
12024
Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation
H Yang, P Qiu, P Khanduri, M Fang, J Liu
ICML 2024, 2024
12024
The system can't perform the operation now. Try again later.
Articles 1–20