| Oort: Efficient Federated Learning via Guided Participant Selection F Lai, X Zhu, HV Madhyastha, M Chowdhury USENIX OSDI, 2021 | 459 | 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 | 241 | 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 | 49* | 2023 |
| Coverage-centric Coreset Selection for High Pruning Rates H Zheng, R Liu, F Lai, A Prakash ICLR, 2023 | 47 | 2023 |
| Egeria: Efficient DNN Training with Knowledge-Guided Layer Freezing Y Wang, D Sun, K Chen, F Lai, M Chowdhury EuroSys, 2023 | 43* | 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 | 32 | 2020 |
| To Relay or Not to Relay for Inter-Cloud Transfers? F Lai, M Chowdhury, H Madhyastha USENIX HotCloud, 2018 | 27 | 2018 |
| ModelKeeper: Accelerating DNN Training via Automated Training Warmup F Lai, Y Dai, HV Madhyastha, M Chowdhury USENIX NSDI, 2023 | 25 | 2023 |
| Auxo: Efficient Federated Learning via Scalable Client Clustering J Liu, F Lai, Y Dai, A Akella, HV Madhyastha, M Chowdhury SoCC, 2023 | 16* | 2023 |
| 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 | 12 | 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 |
| Learn to be efficient: Build structured sparsity in large language models H Zheng, X Bai, B Chen, F Lai, A Prakash NeurIPS, 2024 | 10 | 2024 |
| Andes: Defining and Enhancing Quality-of-Experience in LLM-Based Text Streaming Services J Liu, Z Wu, JW Chung, F Lai, M Lee, M Chowdhury arXiv preprint arXiv:2404.16283, 2024 | 9 | 2024 |
| 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 ToN, 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 | 5* | 2023 |
| Sequoia: An Accessible and Extensible Framework for Privacy-Preserving Machine Learning over Distributed Data K Xu, D Chai, J Zhang, F Lai, K Chen SIGMOD, 2025 | | 2025 |
| Disaggregating Embedding Recommendation Systems with FlexEMR Y Huang, Z Yang, J Xing, Y Dai, Y Qiu, D Wu, F Lai, A Chen arXiv preprint arXiv:2410.12794, 2024 | | 2024 |
| FedTrans: Efficient Federated Learning via Multi-Model Transformation Y Zhu, J Liu, M Chowdhury, F Lai MLSys, 2024 | | 2024 |
Mosharaf ChowdhuryUniversity of MichiganPatvirtintas el. paštas umich.edu
