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Xinwei Zhang 0001
Person information
- affiliation: University of Southern California, Los Angeles, CA, USA
- affiliation (PhD 2023): University of Minnesota, Department of Electrical and Computer Engineering, Minneapolis, MN, USA
Other persons with the same name
- Xinwei Zhang (aka: Xin-Wei Zhang) — disambiguation page
- Xinwei Zhang 0002
— Hong Kong Polytechnic University, Department of Electrical and Electronic Engineering, Hong Kong (and 1 more)
- Xinwei Zhang 0003
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2020 – today
- 2024
- [j6]Xinwei Zhang, Mingyi Hong, Jie Chen:
GLASU: A Communication-Efficient Algorithm for Federated Learning with Vertically Distributed Graph Data. Trans. Mach. Learn. Res. 2024 (2024) - [j5]Xinwei Zhang, Wotao Yin, Mingyi Hong, Tianyi Chen:
Hybrid Federated Learning for Feature & Sample Heterogeneity: Algorithms and Implementation. Trans. Mach. Learn. Res. 2024 (2024) - [c9]Xinwei Zhang, Zhiqi Bu, Steven Wu, Mingyi Hong:
Differentially Private SGD Without Clipping Bias: An Error-Feedback Approach. ICLR 2024 - [c8]Yunsheng Tian, Ane Zuniga, Xinwei Zhang, Johannes P. Dürholt, Payel Das, Jie Chen, Wojciech Matusik, Mina Konakovic Lukovic:
Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints. ICML 2024 - [c7]Xinwei Zhang, Bingqing Song, Mehrdad Honarkhah, Jie Dingl, Mingyi Hong:
Building Large Models from Small Distributed Models: A Layer Matching Approach. SAM 2024: 1-5 - [i13]Yunsheng Tian, Ane Zuniga, Xinwei Zhang, Johannes P. Dürholt, Payel Das, Jie Chen, Wojciech Matusik, Mina Konakovic-Lukovic:
Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints. CoRR abs/2402.07692 (2024) - [i12]Zhiqi Bu, Xinwei Zhang, Mingyi Hong, Sheng Zha, George Karypis:
Pre-training Differentially Private Models with Limited Public Data. CoRR abs/2402.18752 (2024) - [i11]Xinwei Zhang, Zhiqi Bu, Mingyi Hong, Meisam Razaviyayn:
DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reduction. CoRR abs/2408.13460 (2024) - [i10]Xinwei Zhang, Zhiqi Bu, Borja Balle, Mingyi Hong, Meisam Razaviyayn, Vahab Mirrokni:
DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reduction. CoRR abs/2410.03883 (2024) - 2023
- [j4]Xinwei Zhang, Mingyi Hong, Nicola Elia:
Understanding a Class of Decentralized and Federated Optimization Algorithms: A Multirate Feedback Control Perspective. SIAM J. Optim. 33(2): 652-683 (2023) - [c6]Bingqing Song, Prashant Khanduri, Xinwei Zhang, Jinfeng Yi, Mingyi Hong:
FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks. ICML 2023: 32304-32330 - [i9]Xinwei Zhang, Mingyi Hong, Jie Chen:
GLASU: A Communication-Efficient Algorithm for Federated Learning with Vertically Distributed Graph Data. CoRR abs/2303.09531 (2023) - [i8]Xinwei Zhang, Zhiqi Bu, Zhiwei Steven Wu, Mingyi Hong:
Differentially Private SGD Without Clipping Bias: An Error-Feedback Approach. CoRR abs/2311.14632 (2023) - 2022
- [j3]Yang Liu
FedBCD: A Communication-Efficient Collaborative Learning Framework for Distributed Features. IEEE Trans. Signal Process. 70: 4277-4290 (2022) - [c5]Xinwei Zhang, Xiangyi Chen, Mingyi Hong, Steven Wu, Jinfeng Yi:
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy. ICML 2022: 26048-26067 - [c4]Xinwei Zhang, Mingyi Hong, Sairaj V. Dhople, Nicola Elia:
A Stochastic Multi-Rate Control Framework For Modeling Distributed Optimization Algorithms. ICML 2022: 26206-26222 - [i7]Xinwei Zhang, Mingyi Hong, Nicola Elia:
Understanding A Class of Decentralized and Federated Optimization Algorithms: A Multi-Rate Feedback Control Perspective. CoRR abs/2204.12663 (2022) - 2021
- [j2]Xinwei Zhang, Mingyi Hong
FedPD: A Federated Learning Framework With Adaptivity to Non-IID Data. IEEE Trans. Signal Process. 69: 6055-6070 (2021) - [i6]Xinwei Zhang, Xiangyi Chen, Mingyi Hong, Zhiwei Steven Wu, Jinfeng Yi:
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy. CoRR abs/2106.13673 (2021) - 2020
- [j1]Tsung-Hui Chang
Distributed Learning in the Nonconvex World: From batch data to streaming and beyond. IEEE Signal Process. Mag. 37(3): 26-38 (2020) - [c3]Xinwei Zhang, Victor Purba, Mingyi Hong, Sairaj V. Dhople:
A Sum-of-Squares Optimization Method for Learning and Controlling Photovoltaic Systems. ACC 2020: 2376-2381 - [i5]Tsung-Hui Chang, Mingyi Hong, Hoi-To Wai, Xinwei Zhang, Songtao Lu:
Distributed Learning in the Non-Convex World: From Batch to Streaming Data, and Beyond. CoRR abs/2001.04786 (2020) - [i4]Xinwei Zhang, Mingyi Hong, Sairaj V. Dhople, Wotao Yin, Yang Liu:
FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data. CoRR abs/2005.11418 (2020) - [i3]Ce Ju, Ruihui Zhao, Jichao Sun, Xiguang Wei, Bo Zhao, Yang Liu, Hongshan Li, Tianjian Chen, Xinwei Zhang, Dashan Gao, Ben Tan, Han Yu, Yuan Jin:
Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention. CoRR abs/2006.10517 (2020) - [i2]Xinwei Zhang, Wotao Yin, Mingyi Hong, Tianyi Chen:
Hybrid Federated Learning: Algorithms and Implementation. CoRR abs/2012.12420 (2020)
2010 – 2019
- 2019
- [c2]Xinwei Zhang, John Sartori, Mingyi Hong, Sairaj V. Dhople:
DImplementing First-order Optimization Methods: Algorithmic Considerations and Bespoke Microcontrollers. ACSSC 2019: 296-300 - [c1]Songtao Lu, Xinwei Zhang, Haoran Sun
GNSD: a Gradient-Tracking Based Nonconvex Stochastic Algorithm for Decentralized Optimization. DSW 2019: 315-321 - [i1]Yang Liu, Yan Kang, Xinwei Zhang, Liping Li, Yong Cheng, Tianjian Chen, Mingyi Hong, Qiang Yang:
A Communication Efficient Vertical Federated Learning Framework. CoRR abs/1912.11187 (2019)
Coauthor Index
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last updated on 2024-11-13 23:50 CET by the dblp team
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