2025
Sequoia: An Accessible and Extensible Framework for Privacy-Preserving Machine Learning over Distributed Data.
Proc. ACM Manag. Data, February, 2025
DiSCo: Device-Server Collaborative LLM-Based Text Streaming Services.
CoRR, February, 2025
HyGen: Efficient LLM Serving via Elastic Online-Offline Request Co-location.
CoRR, January, 2025
EchoLM: Accelerating LLM Serving with Real-time Knowledge Distillation.
CoRR, January, 2025
2024
Fed-ensemble: Ensemble Models in Federated Learning for Improved Generalization and Uncertainty Quantification.
IEEE Trans Autom. Sci. Eng., July, 2024
Mercury: QoS-Aware Tiered Memory System.
CoRR, 2024
Disaggregating Embedding Recommendation Systems with FlexEMR.
CoRR, 2024
Andes: Defining and Enhancing Quality-of-Experience in LLM-Based Text Streaming Services.
CoRR, 2024
Learn To be Efficient: Build Structured Sparsity in Large Language Models.
CoRR, 2024
Fine-Grained Embedding Dimension Optimization During Training for Recommender Systems.
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CoRR, 2024
Learn To be Efficient: Build Structured Sparsity in Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
FedTrans: Efficient Federated Learning via Multi-Model Transformation.
Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 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
Minimalist Systems for Pervasive Machine Learning
PhD thesis, 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.
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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