| Oort: Efficient Federated Learning via Guided Participant Selection F Lai, X Zhu, HV Madhyastha, M Chowdhury USENIX OSDI, 2021 | 314 | 2021 |
| FedScale: Benchmarking Model and System Performance of Federated Learning at Scale F Lai, Y Dai, S Singapuram, J Liu, X Zhu, H Madhyastha, M Chowdhury ICML, 2022 | 152 | 2022 |
| Fed-ensemble: Ensemble models in federated learning for improved generalization and uncertainty quantification N Shi, F Lai, R Al Kontar, M Chowdhury IEEE Transactions on Automation Science and Engineering, 2023 | 38* | 2023 |
| Optimal Caching and User Association in Cache-enabled Heterogeneous Wireless Networks Y Cui, F Lai, S Hanly, P Whiting IEEE GLOBECOM, 2016 | 38 | 2016 |
| Sol: Fast Distributed Computation Over Slow Networks F Lai, J You, X Zhu, HV Madhyastha, M Chowdhury USENIX NSDI, 2020 | 27 | 2020 |
| Egeria: Efficient DNN Training with Knowledge-Guided Layer Freezing Y Wang, D Sun, K Chen, F Lai, M Chowdhury EuroSys, 2023 | 26* | 2023 |
| To Relay or Not to Relay for Inter-Cloud Transfers? F Lai, M Chowdhury, H Madhyastha USENIX HotCloud, 2018 | 25 | 2018 |
| Coverage-centric Coreset Selection for High Pruning Rates H Zheng, R Liu, F Lai, A Prakash ICLR, 2023 | 21 | 2023 |
| Enhanced VIP Algorithms for Forwarding, Caching, and Congestion Control in Named Data Networks Y Cui, F Lai, E Yeh, R Liu IEEE GLOBECOM, 2016 | 12 | 2016 |
| ModelKeeper: Accelerating DNN Training via Automated Training Warmup F Lai, Y Dai, HV Madhyastha, M Chowdhury USENIX NSDI, 2023 | 11 | 2023 |
| A Linear Network Code Construction for General Integer Connections based on the Constraint Satisfaction Problem Y Cui, M Médard, E Yeh, D Leith, F Lai, KR Duffy IEEE/ACM Transactions on Networking 25 (6), 3441-3454, 2017 | 7 | 2017 |
| Scaled VIP Algorithms for Joint Dynamic Forwarding and Caching in Named Data Networks F Lai, F Qiu, W Bian, Y Cui, E Yeh ACM ICN, 2016 | 7 | 2016 |
| Swan: A Neural Engine for Efficient DNN Training on Smartphone SoCs S Sri Vallabh Singapuram, C Hu, F Lai, C Zhang, M Chowdhury DistributedML, 2023 | 4* | 2023 |
| Auxo: Efficient Federated Learning via Scalable Client Clustering J Liu, F Lai, Y Dai, A Akella, HV Madhyastha, M Chowdhury SoCC, 2023 | 4* | 2023 |
| Learn To be Efficient: Build Structured Sparsity in Large Language Models H Zheng, X Bai, B Chen, F Lai, A Prakash arXiv preprint arXiv:2402.06126, 2024 | 2 | 2024 |
| AdaEmbed: Adaptive Embedding for Large-Scale Recommendation Models F Lai, W Zhang, R Liu, W Tsai, X Wei, Y Hu, S Devkota, J Huang, J Park, ... USENIX OSDI, 2023 | 1 | 2023 |
| Fine-Grained Embedding Dimension Optimization During Training for Recommender Systems Q Luo, P Wang, W Zhang, F Lai, J Mao, X Wei, J Song, WY Tsai, S Yang, ... arXiv preprint arXiv:2401.04408, 2024 | | 2024 |
| Venn: Resource Management Across Federated Learning Jobs J Liu, F Lai, D Ding, Y Zhang, M Chowdhury arXiv preprint arXiv:2312.08298, 2023 | | 2023 |
| Minimalist Systems for Pervasive Machine Learning F Lai | | 2023 |
Mosharaf ChowdhuryUniversity of MichiganПотвърден имейл адрес: umich.edu
