Biblio

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2022
Sima C, Fu Y, Sit M-K, Guo L, Gong X, Lin F, Wu J, Li Y, Rong H, Aublin P-L et al..  2022.  Ekko: A Large-Scale Deep Learning Recommender System with Low-Latency Model Update. 16th USENIX Symposium on Operating Systems Design and Implementation (OSDI 22). :821--839.
2021
Xu L, Venkataraman S, Gupta I, Mai L, Potharaju R.  2021.  Move Fast and Meet Deadlines: Fine-grained Real-time Stream Processing with Cameo. 18th USENIX Symposium on Networked Systems Design and Implementation (NSDI 21). :389--405.
2020
Mai L, Li G, Wagenländer M, Fertakis K, Brabete A-O, Pietzuch P.  2020.  KungFu: Making Training in Distributed Machine Learning Adaptive. 14th USENIX Symposium on Operating Systems Design and Implementation (OSDI 20). :937--954.
Wagenländer M, Mai L, Li G, Pietzuch P.  2020.  Spotnik: Designing Distributed Machine Learning for Transient Cloud Resources. 12th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 20).
2017
Sultana N, Galea S, Greaves D, Wojcik M, Shipton J, Clegg R, Mai L, Bressana P, Soulé R, Mortier R et al..  2017.  Emu: Rapid Prototyping of Networking Services. 2017 USENIX Annual Technical Conference (USENIX ATC 17). :459--471.
2016
Alim A, Clegg RG, Mai L, Rupprecht L, Seckler E, Costa P, Pietzuch P, Wolf AL, Sultana N, Crowcroft J et al..  2016.  FLICK: Developing and Running Application-Specific Network Services. 2016 USENIX Annual Technical Conference (USENIX ATC 16). :1--14.
Yu D, Mai L, Arianfar S, Fonseca R, Krieger O, Oran D.  2016.  Towards a Network Marketplace in a Cloud. 8th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 16).
2015
Mai L, Hong C, Costa P.  2015.  Optimizing Network Performance in Distributed Machine Learning. 7th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 15).