December 2023: Our work on federated learning for graph convolutional networks will appear in NeurIPS 2023. Congratulations, Yuhang!
October 2023: Our group is selected to participate in Microsoft's Accelerating Foundation Models Research program.
October 2023: Our work with Northeastern University on cache-enabled federated learning will appear in ACM MobiHoc 2023. Congratulations, Marie!
September 2023: Ishank Juneja joins the group as a Ph.D. student, and Jiarui Li joins the group as a M.S. thesis student. Ishank is co-advised by Professor Osman Yagan.
September 2023: Our work on reinforcement learning for intelligent sensor transmissions and online federated learning algorithms will appear in IEEE SECON 2023. Congratulations, Eve and Jinhang!
August 2023: We have a new project with the NSF on using reinforcement learning for collaborative augmented reality, in collaboration with Professor Maria Gorlatova at Duke and Professor Jiasi Chen at the University of Michigan.
August 2023: TJ successfully defends his Ph.D. thesis and will join CACI. Congratulations!
August 2023: Our work on distributed learning for online datastreams will appear in IEEE/IFIP WiOpt 2023. Congratulations, Harry and Xiaoxi!
August 2023: Carlee is a TPC Co-Chair for IEEE/IFIP WiOpt 2023, to be held in Singapore on August 24 to 27, 2023. Please consider submitting your work!
June 2023: Our work on batch adaptation for federated learning algorithms will appear in IEEE/ACM IWQoS 2023.
June 2023: Our work on near-optimal algorithms for electric vehicle charging will appear in ACM E-Energy 2023.
June 2023: Our work on reinforcement learning for task placement in distributed computing will appear in MLSys 2023. Congratulations, Eve, Chaoran, and Harshul!
May 2023: Carlee publishes an op-ed in ADAS and Autonomous Vehicle International on collaboration between self-driving and human-driven cars, based on our Mobility21 autonomous vehicles project.
May 2023: We have a new project with Cisco on using reinforcement learning for collaborative augmented reality, in collaboration with Professor Maria Gorlatova at Duke.
May 2023: Our work on fair multi-model federated learning receives the Best Poster Award at ACM/IEEE IPSN 2023. Congratulations, Marie, Shoba, Ethan, and Ziwei!
May 2023: Our work on cascading failures in interdependent network systems will appear in IEEE ICC 2023. Congratulations, Delphi!
May 2023: Our work on variance-adaptive algorithms for combinatorial semi-bandits will appear in IEEE INFOCOM 2023. Congratulations, Jinhang!
May 2023: Our work with Wyze Labs on federated learning for rule recommendation in smart homes appears in ACM/IEEE IoTDI 2023. Congratulations, Yuhang!
April 2023: Our work on evasion attacks in personalized federated learning appears in AISTATS 2023. Congratulations, TJ, Nikhil, and Shubhranshu!
March 2023: Our work on reinforcement learning for resilient edge computing appears in CISS 2023. Congratulations, Marie and Shikhar!
February 2023: Carlee is giving the opening talk at the Pittsburgh Women in Mathematics and Computing Symposium.
January 2023: TJ is awarded the Nicholas Minnici (E '59) Dean's Graduate Fellowship in Electrical and Computer Engineering, and Yuhang is awarded the Lee-Stanziale Ohana Fellowship, for the 2022-23 academic year. Congratulations!
January 2023: An extended version of our IEEE INFOCOM paper on migrations in edge computing appears in the IEEE Journal on Selected Areas in Communications special issue on Multi-Tier Computing for Next Generation Wireless Networks. Congratulations, TJ and Xiaoxi!
December 2022: Our work with Microsoft Research Asia on batch size-independent regret bounds for combinatorial semi-bandits will appear in NeurIPS 2022. Congratulations, Jinhang!
December 2022: Carlee is co-organizing the First Workshop on Native Network Intelligence with Alessandro Finamore and Marco Fiore, to be co-located with ACM CoNEXT 2022. Please consider attending!
October 2022: Our policy brief on mixed-autonomy transportation environments is featured in GovTech and on the CMU ECE and CIT homepages. Congratulations, Delphi!
October 2022: Our work on federated graph convolutional networks will appear as an oral/spotlight paper in the First FedGraph Workshop, co-located with ACM CIKM 2022. Congratulations, Yuhang!
October 2022: Our work with Adobe on hierarchical bandits will appear in ACM CIKM 2022. Congratulations, Jinhang!
September 2022: Baris Askin and Baran Atalar officially join the group as Ph.D. students. Baris is co-advised by Professor Gauri Joshi.
September 2022: Our poster on variance reduction in personalized federated learning appears in the CrossFL Workshop co-located with MLSys 2022. Another poster on grey-box evasion attacks in personalized federated learning wins the Best Student Poster Award at the workshop. Congratulations, TJ, Nikhil, Shubhranshu, Yuhang, and Karthik!
August 2022: Jinhang successfully defends his thesis and joins UMass-Amherst and Caltech as a postdoc, jointly advised by Mohammad Hajiesmaili and Adam Wierman. Congratulations!
July 2022: Carlee is elevated to IEEE Senior Membership.
June/October 2022: Our work on correlated combinatorial bandits for resource allocationwins the Best Poster Award at ACM SIGMETRICS 2022. An extended version is accepted to ACM MobiHoc 2022. Congratulations, Jinhang!
June 2022: Our work on online distributed learning over preemptible instances appears in MAMA 2022. Congratulations, Harry and Xiaoxi!
May 2022: Our work on migrations in edge computing appears in IEEE INFOCOM 2022. Congratulations, TJ and Xiaoxi!
March 2022: Ethan successfully defends his Ph.D. thesis and moves to a new position as Research Scientist at Meta. Congratulations!
March 2022: Our work on competitive influence maximization and privacy-preserving, distributed representation learning appears in AISTATS 2022. Congratulations, Jinhang and TJ!
March 2022: Our work on multi-armed bandits for crowdsourcing appears in HotMobile 2022. Congratulations, Shouxu and Yuhang!
March 2022: Our work on clustered/personalized federated learning appears in AAAI 2022. Congratulations, Ethan!
February 2022: Our work on timing failures in cyber-physical systems is accepted to ACM Transactions on Cyber-Physical Systems. Congratulations, Eve!
December 2021: Our work on explaining dynamic graph neural networks appears in IEEE ICDM 2021. Congratulations, Harold and Yuhang!
November 2021: Carlee is a guest editor of a special issue of the IEEE Open Journal of the Communications Society on Optimization and Economics of Fog/Edge Networks. Please consider submitting your work!November 2021: Our work envisioning multi-cloud serverless computing architectures appears at the ACM Symposium on Cloud Computing 2021.
October 2021: Our work on client recruitment in federated learning appears in WiOpt 2021. Congratulations, Ethan and Xiaoxi!
October 2021: Marie T. Siew officially joins the group as a postdoctoral scholar. Marie received her Ph.D. from the Singapore University of Technology and Design (SUTD) and is supported by SUTD's Presidential Postdoctoral Fellowship.
September 2021: Tianshu Huang officially joins the group. He is co-advised by Professor Anthony Rowe.
September 2021: Carlee is selected as a participant in the National Academy of Engineering's 2021 US Frontiers of Engineering Symposium.
August 2021: An extended version of our IEEE INFOCOM 2020 paper on machine learning on volatile instances is accepted to IEEE/ACM Transactions on Networking. Congratulations, Xiaoxi, Gavin, Tom, and Akansha!
July 2021: We have two new NSF grants on distributed pricing and procurement in network platforms (with Mohammad Hajiesmaili at UMass-Amherst) and data-centric networks for distributed learning (with Stratis Ioannidis and Edmund Yeh at Northeastern).
June 2021: Our work on mobility in edge computing appears as a poster at IEEE IWQoS 2021. Congratulations, Taejin and Xiaoxi!
April 2021: An extended version of our IEEE INFOCOM 2020 paper on fog computing and distributed leanring is accepted to IEEE/ACM Transactions on Networking. Congratulations, Ethan and Satya!
April 2021: Our work on flexible participation in federated learning appears at AISTATS 2021. Congratulations, Ethan, Xiaoxi, and Shu-Che!
February 2021: Our work on dynamic graph clustering appears at AAAI 2021. Congratulations, Yuhang!
February 2021: We have a new seed grant from CMU's CyLab Institute on inference attacks on federated learning models.
January 2021: Carlee receives the Robert E. Doherty Career Development Professorship in Engineering.
January 2021: We have a new ``Big Idea'' grant, with Sean Qian and Osman Yagan, from CMU's Mobility21 National University Transportation Center on transportation networks' resilience in the presence of autonomous vehicles.
December 2020: Madhu defends her Ph.D. thesis. Congratulations!
October 2020: Carlee and Madhu are co-organizing BlockNet, an ACM MobiHoc workshop on using blockchains in network resource sharing. Please consider (virtually) attending!
September 2020: Xiaoxi leaves the group to join Sun Yat-Sen University as an associate professor. Congratulations!
July 2020: Eve Hu officially joins the group. Eve has been a Ph.D. student at CMU ECE since 2019 and is co-advised by Professor Bob Iannucci.
July 2020: An extended version of our IEEE INFOCOM 2019 paper on burstable instances is accepted to the IEEE/ACM Transactions on Networking. Congratulations, Yuxuan!
July 2020: Five papers from our group appear at IEEE INFOCOM 2020, on machine learning, mobile caching, and edge computing. Congratulations, Xiaoxi and Ethan!
May 2020: Our work with Maria Gorlatova's group on CollabAR has received the Best Research Artifact Award at ACM IPSN 2020!
March 2020: Madhu Harishankar officially joins the group. Madhu has been a Ph.D. student at CMU ECE since 2016 and has worked extensively with us over the last four years. She is co-advised by Professor Patrick Tague.
February 2020: Our work on multi-player bandits with pre-observations appears at AAAI 2020. Congratulations, Jinhang and Xiaoxi!
January 2020: We have a new seed grant from CMU's CyLab IoT Initiative on privacy tradeoffs in distributed machine learning.
January 2020: U.S. Patent #10536584 “System and Methods for Time Deferred Transmission of Mobile Data” has been granted.
December 2019: Carlee is the chair of the newly formed ACM SIGMETRICS Committee on Student Engagement, which will advise the SIG on best practices for engaging students in the performance evaluation community.
October 2019: Our work on learning optimal network protocol selections, a collaboration with CU Boulder's Internet Systems Lab and Professor Maria Gorlatova from Duke University, appears at IEEE ICNP 2019. Congratulations, Xiaoxi!
October 2019: Carlee gives an invited talk at the HDR-NETS workshop on machine learning in networking, co-located with ICNP.
October 2019: We have a new grant from the NSF on distributed learning algorithms for augmented reality applications, in collaboration with Professor Maria Gorlatova at Duke University.
August 2019: Yuhang Yao and I-Cheng Lin join the group after graduating from Shanghai Jiao Tong University and National Taiwan University, respectively. I-Cheng is co-advised with Professor Osman Yagan in CMU ECE.
August 2019: Carlee is a guest editor of the IEEE JSAC Special Issue on Smart Data Pricing for Next-Generation Networks. Please consider submitting your work!
August 2019: Carlee is Co-Chair of the NSF NeTS Early Career Investigators Workshop 2019. If you are a networking (broadly defined) researcher who plans to receive your Ph.D. in the next year or received your Ph.D. in the last 5 years, please consider attending!
June 2019: Our work on learning optimal network protocol selections appears in the ACM/IEEE ISCA Workshop on Machine Learning for Systems, at ACM FCRC 2019. Congratulations, Xiaoxi!
June 2019: Two papers, on auctions for real-time network slicing and time-dependent data pricing, appear in the IEEE JSAC Special Issue on Multimedia Economics for Future Networks. Congratulations, Madhu!
June 2019: Carlee is invited to give a talk at the 15th Cloud Control Workshop.
June 2019: Our collaboration with CU Boulder's Internet Systems Lab on distributed scheduling in cellular networks appears at ACM MobiSys 2019. Congratulations, Xiaoxi!
May 2019: We have a new gift from Nokia to support our work on using machine learning to find optimal network policies.
April 2019: Carlee is a TPC Co-Chair of ECOFEC, the 1st Workshop on the Economics of Fog, Edge, and Cloud Computing, co-located with IEEE INFOCOM 2019.
April 2019: The lab presents two papers in IEEE INFOCOM 2019, including Yuxuan's work on burstable cloud instances. CMU features this work in a news story. Congratulations, Yuxuan!
January 2019: Carlee receives the ARO Young Investigator Award for our work on resource allocation in heterogeneous computing networks.
January 2019: Ethan receives a 2019 Barakat Fellowship from the CMU ECE department.
December 2018: Our position paper on real-time network slicing appears at the TREC4CPS workshop, co-located with IEEE RTSS 2018.
October 2018: Xiaoxi is invited to attend the Asian Deans' Forum Rising Stars Women in Engineering Workshop.
September 2018: Carlee is included on N2Women's 2018 List of Rising Stars in Computer Networking and Communications.
September 2018: Carlee presents Xiaoxi’s work on online learning for network protocols at the 39th IEEE Sarnoff Symposium.
August 2018: TJ Kim joins the group after graduating from the Olin College of Engineering.
July 2018: Our paper on assessing adaptive online courses appears in Educational Data Mining 2018.
June 2018: Carlee serves on the IEEE LANMAN Panel on Networking the Intelligent Edge.
June 2018: Jinhang and Ethan present abstracts in the ACM SIGMETRICS work-in-progress session.
May 2018: Carlee receives the NSF CAREER award for our work on the economics of the Internet-of-Things. CMU ECE featured this work in a news story.
May 2018: Our paper on sponsored data appears in IEEE/ACM Transactions on Networking.
May 2018: Carlee is a member of the organizing committee for the Smart Data Pricing Forum at the University of Minnesota.
April 2018: The lab presents 5 papers in IEEE INFOCOM. Xiaoxi presents an additional paper authored with her Ph.D. advisor prior to joining the group.
January 2018: U.S. Patent #9794155 “Systems and Methods for Coordinating Client-Side Inference of Mobile Network Loading and Capacity” has been granted.
January 2018: Ethan Ruan joins the group after graduating from UC Berkeley.