Fan Lai

Orcid: 0009-0005-0472-107X

According to our database1, Fan Lai authored at least 33 papers between 2016 and 2024.

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Bibliography

2024
Learn To be Efficient: Build Structured Sparsity in Large Language Models.
CoRR, 2024

Fine-Grained Embedding Dimension Optimization During Training for Recommender Systems.
CoRR, 2024

2023
A Novel 3D Non-Stationary Massive MIMO Channel Model for Shortwave Communication Systems.
IEEE Trans. Commun., September, 2023

A Novel Beam Domain Channel Model for B5G Massive MIMO Wireless Communication Systems.
IEEE Trans. Veh. Technol., April, 2023

A Novel 3D Beam Domain Channel Model for Massive MIMO Communication Systems.
IEEE Trans. Wirel. Commun., March, 2023

Ultra-Massive MIMO Channel Measurements at 5.3 GHz and a General 6G Channel Model.
IEEE Trans. Veh. Technol., 2023

Venn: Resource Management Across Federated Learning Jobs.
CoRR, 2023

AdaEmbed: Adaptive Embedding for Large-Scale Recommendation Models.
Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 2023

ModelKeeper: Accelerating DNN Training via Automated Training Warmup.
Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023

Coverage-centric Coreset Selection for High Pruning Rates.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Genetic Programming-Enabled Prediction for Students Academic Performance in Blended Learning.
Proceedings of the 15th International Conference on Education Technology and Computers, 2023

Egeria: Efficient DNN Training with Knowledge-Guided Layer Freezing.
Proceedings of the Eighteenth European Conference on Computer Systems, 2023

Flamingo: A User-Centric System for Fast and Energy-Efficient DNN Training on Smartphones.
Proceedings of the 4th International Workshop on Distributed Machine Learning, 2023

Auxo: Efficient Federated Learning via Scalable Client Clustering.
Proceedings of the 2023 ACM Symposium on Cloud Computing, SoCC 2023, 2023

2022
Auxo: Heterogeneity-Mitigating Federated Learning via Scalable Client Clustering.
CoRR, 2022

Swan: A Neural Engine for Efficient DNN Training on Smartphone SoCs.
CoRR, 2022

Efficient DNN Training with Knowledge-Guided Layer Freezing.
CoRR, 2022

FedScale: Benchmarking Model and System Performance of Federated Learning at Scale.
Proceedings of the International Conference on Machine Learning, 2022

Predicting Students Performance in SPOC-Based Blended Learning.
Proceedings of the Computer Science and Education - 17th International Conference, 2022

Mutual Coupling Analysis of 6G Ultra-Massive MIMO Channel Measurements and Models.
Proceedings of the IEEE International Conference on Communications, 2022

2021
Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning.
CoRR, 2021

FedScale: Benchmarking Model and System Performance of Federated Learning.
CoRR, 2021

FedScale: Benchmarking Model and System Performance of Federated Learning.
Proceedings of the ResilientFL '21: Proceedings of the First Workshop on Systems Challenges in Reliable and Secure Federated Learning, 2021

Oort: Efficient Federated Learning via Guided Participant Selection.
Proceedings of the 15th USENIX Symposium on Operating Systems Design and Implementation, 2021

2020
Oort: Informed Participant Selection for Scalable Federated Learning.
CoRR, 2020

A Novel Massive MIMO Beam Domain Channel Model.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

Sol: Fast Distributed Computation Over Slow Networks.
Proceedings of the 17th USENIX Symposium on Networked Systems Design and Implementation, 2020

2018
Analysis of Performances for Three Massive MIMO Channel Models.
Proceedings of the 10th International Conference on Wireless Communications and Signal Processing, 2018

To Relay or Not to Relay for Inter-Cloud Transfers?
Proceedings of the 10th USENIX Workshop on Hot Topics in Cloud Computing, 2018

2017
A Linear Network Code Construction for General Integer Connections Based on the Constraint Satisfaction Problem.
IEEE/ACM Trans. Netw., 2017

2016
Enhanced VIP Algorithms for Forwarding, Caching, and Congestion Control in Named Data Networks.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

Optimal Caching and User Association in Cache-Enabled Heterogeneous Wireless Networks.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

Scaled VIP Algorithms for Joint Dynamic Forwarding and Caching in Named Data Networks.
Proceedings of the 3rd ACM Conference on Information-Centric Networking, 2016


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