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Fan Lai
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2020 – today
- 2024
- [j6]Naichen Shi, Fan Lai, Raed Al Kontar, Mosharaf Chowdhury:
Fed-ensemble: Ensemble Models in Federated Learning for Improved Generalization and Uncertainty Quantification. IEEE Trans Autom. Sci. Eng. 21(3): 2792-2803 (2024) - [c20]Yuxuan Zhu, Jiachen Liu, Mosharaf Chowdhury, Fan Lai:
FedTrans: Efficient Federated Learning via Multi-Model Transformation. MLSys 2024 - [i16]Qinyi Luo, Penghan Wang, Wei Zhang, Fan Lai, Jiachen Mao, Xiaohan Wei, Jun Song, Wei-Yu Tsai, Shuai Yang, Yuxi Hu, Xuehai Qian:
Fine-Grained Embedding Dimension Optimization During Training for Recommender Systems. CoRR abs/2401.04408 (2024) - [i15]Haizhong Zheng, Xiaoyan Bai, Beidi Chen, Fan Lai, Atul Prakash:
Learn To be Efficient: Build Structured Sparsity in Large Language Models. CoRR abs/2402.06126 (2024) - [i14]Yuxuan Zhu, Jiachen Liu, Mosharaf Chowdhury, Fan Lai:
FedTrans: Efficient Federated Learning via Multi-Model Transformation. CoRR abs/2404.13515 (2024) - [i13]Jiachen Liu, Zhiyu Wu, Jae-Won Chung, Fan Lai, Myungjin Lee, Mosharaf Chowdhury:
Andes: Defining and Enhancing Quality-of-Experience in LLM-Based Text Streaming Services. CoRR abs/2404.16283 (2024) - [i12]Yibo Huang, Zhenning Yang, Jiarong Xing, Yi Dai, Yiming Qiu, Dingming Wu, Fan Lai, Ang Chen:
Disaggregating Embedding Recommendation Systems with FlexEMR. CoRR abs/2410.12794 (2024) - 2023
- [j5]Fan Lai, Cheng-Xiang Wang, Jie Huang, Rui Feng, Xiqi Gao, Fu-Chun Zheng:
A Novel 3D Non-Stationary Massive MIMO Channel Model for Shortwave Communication Systems. IEEE Trans. Commun. 71(9): 5473-5486 (2023) - [j4]Yi Zheng, Cheng-Xiang Wang, Runruo Yang, Long Yu, Fan Lai, Jie Huang, Rui Feng, Chao Wang, Chao Li, Zhimeng Zhong:
Ultra-Massive MIMO Channel Measurements at 5.3 GHz and a General 6G Channel Model. IEEE Trans. Veh. Technol. 72(1): 20-34 (2023) - [j3]Fan Lai, Cheng-Xiang Wang, Jie Huang, Xiqi Gao, Fu-Chun Zheng:
A Novel Beam Domain Channel Model for B5G Massive MIMO Wireless Communication Systems. IEEE Trans. Veh. Technol. 72(4): 4143-4156 (2023) - [j2]Ji Bian, Cheng-Xiang Wang, Rui Feng, Yu Liu, Wenqi Zhou, Fan Lai, Xiqi Gao:
A Novel 3D Beam Domain Channel Model for Massive MIMO Communication Systems. IEEE Trans. Wirel. Commun. 22(3): 1618-1632 (2023) - [c19]Jiachen Liu, Fan Lai, Yinwei Dai, Aditya Akella, Harsha V. Madhyastha, Mosharaf Chowdhury:
Auxo: Efficient Federated Learning via Scalable Client Clustering. SoCC 2023: 125-141 - [c18]Sanjay Sri Vallabh Singapuram, Chuheng Hu, Fan Lai, Chengsong Zhang, Mosharaf Chowdhury:
Flamingo: A User-Centric System for Fast and Energy-Efficient DNN Training on Smartphones. DistributedML@CoNEXT 2023: 1-10 - [c17]Yiding Wang, Decang Sun, Kai Chen, Fan Lai, Mosharaf Chowdhury:
Egeria: Efficient DNN Training with Knowledge-Guided Layer Freezing. EuroSys 2023: 851-866 - [c16]Rui Chen, Fan Lai, Yanmei Li, Xuan Wang:
Genetic Programming-Enabled Prediction for Students Academic Performance in Blended Learning. ICETC 2023: 297-303 - [c15]Haizhong Zheng, Rui Liu, Fan Lai, Atul Prakash:
Coverage-centric Coreset Selection for High Pruning Rates. ICLR 2023 - [c14]Fan Lai, Yinwei Dai, Harsha V. Madhyastha, Mosharaf Chowdhury:
ModelKeeper: Accelerating DNN Training via Automated Training Warmup. NSDI 2023: 769-785 - [c13]Fan Lai, Wei Zhang, Rui Liu, William Tsai, Xiaohan Wei, Yuxi Hu, Sabin Devkota, Jianyu Huang, Jongsoo Park, Xing Liu, Zeliang Chen, Ellie Wen, Paul Rivera, Jie You, Chun-cheng Jason Chen, Mosharaf Chowdhury:
AdaEmbed: Adaptive Embedding for Large-Scale Recommendation Models. OSDI 2023: 817-831 - [i11]Jiachen Liu, Fan Lai, Ding Ding, Yiwen Zhang, Mosharaf Chowdhury:
Venn: Resource Management Across Federated Learning Jobs. CoRR abs/2312.08298 (2023) - 2022
- [c12]Rui Feng, Cheng-Xiang Wang, Jie Huang, Yi Zheng, Fan Lai, Wenqi Zhou:
Mutual Coupling Analysis of 6G Ultra-Massive MIMO Channel Measurements and Models. ICC 2022: 956-961 - [c11]Xuan Wang, Yanmei Li, Fan Lai, Xiangliang Li:
Predicting Students Performance in SPOC-Based Blended Learning. ICCSE (2) 2022: 565-574 - [c10]Fan Lai, Yinwei Dai, Sanjay Sri Vallabh Singapuram, Jiachen Liu, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury:
FedScale: Benchmarking Model and System Performance of Federated Learning at Scale. ICML 2022: 11814-11827 - [i10]Yiding Wang, Decang Sun, Kai Chen, Fan Lai, Mosharaf Chowdhury:
Efficient DNN Training with Knowledge-Guided Layer Freezing. CoRR abs/2201.06227 (2022) - [i9]Sanjay Sri Vallabh Singapuram, Fan Lai, Chuheng Hu, Mosharaf Chowdhury:
Swan: A Neural Engine for Efficient DNN Training on Smartphone SoCs. CoRR abs/2206.04687 (2022) - [i8]Haizhong Zheng, Rui Liu, Fan Lai, Atul Prakash:
Coverage-centric Coreset Selection for High Pruning Rates. CoRR abs/2210.15809 (2022) - [i7]Jiachen Liu, Fan Lai, Yinwei Dai, Aditya Akella, Harsha V. Madhyastha, Mosharaf Chowdhury:
Auxo: Heterogeneity-Mitigating Federated Learning via Scalable Client Clustering. CoRR abs/2210.16656 (2022) - 2021
- [c9]Fan Lai, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury:
Oort: Efficient Federated Learning via Guided Participant Selection. OSDI 2021: 19-35 - [c8]Fan Lai, Yinwei Dai, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury:
FedScale: Benchmarking Model and System Performance of Federated Learning. ResilientFL 2021: 1-3 - [i6]Fan Lai, Yinwei Dai, Xiangfeng Zhu, Mosharaf Chowdhury:
FedScale: Benchmarking Model and System Performance of Federated Learning. CoRR abs/2105.11367 (2021) - [i5]Naichen Shi, Fan Lai, Raed Al Kontar, Mosharaf Chowdhury:
Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning. CoRR abs/2107.10663 (2021) - 2020
- [c7]Fan Lai, Jie You, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury:
Sol: Fast Distributed Computation Over Slow Networks. NSDI 2020: 273-288 - [c6]Fan Lai, Cheng-Xiang Wang, Jie Huang, Xiqi Gao, Fu-Chun Zheng:
A Novel Massive MIMO Beam Domain Channel Model. WCNC 2020: 1-6 - [i4]Fan Lai, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury:
Oort: Informed Participant Selection for Scalable Federated Learning. CoRR abs/2010.06081 (2020)
2010 – 2019
- 2018
- [c5]Fan Lai, Mosharaf Chowdhury, Harsha V. Madhyastha:
To Relay or Not to Relay for Inter-Cloud Transfers? HotCloud 2018 - [c4]Fan Lai, Carlos F. López, Xiqi Gao, Cheng-Xiang Wang, Fuchun Zheng:
Analysis of Performances for Three Massive MIMO Channel Models. WCSP 2018: 1-6 - 2017
- [j1]Ying Cui, Muriel Médard, Edmund M. Yeh, Douglas J. Leith, Fan Lai, Ken R. Duffy:
A Linear Network Code Construction for General Integer Connections Based on the Constraint Satisfaction Problem. IEEE/ACM Trans. Netw. 25(6): 3441-3454 (2017) - 2016
- [c3]Fan Lai, Feng Qiu, Wenjie Bian, Ying Cui, Edmund M. Yeh:
Scaled VIP Algorithms for Joint Dynamic Forwarding and Caching in Named Data Networks. ICN 2016: 160-165 - [c2]Ying Cui, Fan Lai, Stephen V. Hanly, Philip Whiting:
Optimal Caching and User Association in Cache-Enabled Heterogeneous Wireless Networks. GLOBECOM 2016: 1-6 - [c1]Ying Cui, Fan Lai, Edmund M. Yeh, Ran Liu:
Enhanced VIP Algorithms for Forwarding, Caching, and Congestion Control in Named Data Networks. GLOBECOM 2016: 1-7 - [i3]Ying Cui, Fan Lai, Stephen V. Hanly, Philip A. Whiting:
Optimal Caching and User Association in Cache-enabled Heterogeneous Wireless Networks. CoRR abs/1604.05828 (2016) - [i2]Ying Cui, Fan Lai, Edmund M. Yeh, Ran Liu:
Enhanced VIP Algorithms for Forwarding, Caching, and Congestion Control in Named Data Networks. CoRR abs/1607.03270 (2016) - [i1]Fan Lai, Feng Qiu, Wenjie Bian, Ying Cui, Edmund M. Yeh:
Scaled VIP Algorithms for Joint Dynamic Forwarding and Caching in Named Data Networks. CoRR abs/1608.04198 (2016)
Coauthor Index
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last updated on 2024-11-28 20:29 CET by the dblp team
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