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Yiyue Chen
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2020 – today
- 2024
- [c5]Yiyue Chen, Haris Vikalo, Chianing Wang:
Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity. AAAI 2024: 11443-11452 - [i5]Yiyue Chen, Abolfazl Hashemi, Haris Vikalo:
Accelerated Distributed Stochastic Non-Convex Optimization over Time-Varying Directed Networks. CoRR abs/2410.08508 (2024) - 2023
- [c4]Yiyue Chen, Abolfazl Hashemi, Haris Vikalo:
Accelerated Distributed Stochastic Non-Convex Optimization over Time-Varying Directed Networks. ICASSP 2023: 1-5 - [i4]Yiyue Chen, Haris Vikalo, Chianing Johnny Wang:
Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity. CoRR abs/2312.13380 (2023) - 2022
- [j1]Yiyue Chen, Abolfazl Hashemi, Haris Vikalo:
Communication-Efficient Variance-Reduced Decentralized Stochastic Optimization Over Time-Varying Directed Graphs. IEEE Trans. Autom. Control. 67(12): 6583-6594 (2022) - 2021
- [c3]Yiyue Chen, Abolfazl Hashemi, Haris Vikalo:
Decentralized Optimization on Time-Varying Directed Graphs Under Communication Constraints. ICASSP 2021: 3670-3674 - [c2]Yiyue Chen, Chianing Johnny Wang, BaekGyu Kim:
Federated Learning with Infrastructure Resource Limitations in Vehicular Object Detection. SEC 2021: 366-370 - [i3]Yiyue Chen, Abolfazl Hashemi, Haris Vikalo:
Communication-Efficient Variance-Reduced Decentralized Stochastic Optimization over Time-Varying Directed Graphs. CoRR abs/2101.09583 (2021) - 2020
- [i2]Yiyue Chen, Abolfazl Hashemi, Haris Vikalo:
Communication-Efficient Algorithms for Decentralized Optimization Over Directed Graphs. CoRR abs/2005.13189 (2020)
2010 – 2019
- 2019
- [i1]Yun Chen, Yiyue Chen, Zhengzhong Tu:
Fitness Done Right: a Real-time Intelligent Personal Trainer for Exercise Correction. CoRR abs/1911.07935 (2019) - 2017
- [c1]Dongshu Xu, Jiamei Lan, Xiaoyu Chai, Yiyue Chen, Xiao Wang, Jiaqi Li, Longxiang Jiang, Chao Liang:
WHU-NERCMS at TRECVID2017: Instance Search Task. TRECVID 2017
Coauthor Index
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last updated on 2024-11-19 21:48 CET by the dblp team
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