Tian Xie passed her defense

Tian successfully defended her dissertation today, titled “Resilient Cache Network Management: Algorithms, Analysis, and Experiments”, after 5 years of study at Penn State. She will join ByteDance soon (my second alumnus at ByteDance). Congratulations to Dr. Xie!

Edited book on “Artificial Intelligence for Edge Computing” published

Our new book, “Artificial Intelligence for Edge Computing”, was just published by Springer. The book collects selected seminal results in support of Edge AI—a new genre of AI where the inference, and sometimes even the training, are performed at the point of need, meaning at the network edge where the data originate. Targeting at the […]

visiting IISc (Indian Institute of Science)

I am fortunate to be part of 5 Penn State faculty members (plus Anna Marshall from Penn State Global) selected to participate in the Penn State-IISc Joint Workshop on the campus of IISc, Bangalore, India. Great interactions with a full day of research talks from 11 faculty members from both institutions.   And a fun […]

Paper accepted to Sigmetrics’24

The paper, Optimized Cross-Path Attacks via Adversarial Reconnaissance, combines our investigations on network tomography (particularly topology inference) and adversarial reconnaissance to study a new type of DoS attacks arising in the context of virtualized networks (e.g., network slices in 5G). The work was started during the last year of Yilei’s PhD study and completed by […]

Paper accepted to Globecom’23

The paper, Host-based Flow Table Size Inference in Multi-hop SDN, extends our previous work on host-based flow table size inference for edge switches to infer an unordered set of flow table sizes associated with switches on a multi-hop path. It is the only work to date that can reveal the flow table sizes of internal switches […]

Papers accepted to MobiHoc and MASS

“Yudi Huang and Ting He, Overlay Routing over an Uncooperative Underlay, ACM MobiHoc, October 2023.” Congratulations to Yudi! “Vajiheh Farhadi, Tom La Porta, and Ting He, 5G Multi-numerology Applications in Power Distribution Systems, IEEE MASS, September 2023.” This is an invited paper with a former student. Congratulations Vaji!

Papers accepted to IEEE TPDS and IEEE IoT Journal

The first paper is an outcome of our SaTC project in collaboration with Prof. Patrick McDaniel@Wisconsin: Tian Xie, Sanchal Thakkar, Ting He, Patrick McDaniel, and Quinn Burke, Joint Caching and Routing in Cache Networks with Arbitrary Topology, accepted to IEEE Transactions on Parallel and Distributed Systems, May 2023.   The second paper is an outcome of […]

Chairing IEEE RTCSA 2023 – Welcome to submit!

I am honored to serve as the General Co-chair of the 29th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications(RTCSA’23), to be held in TOKI MESSE, Niigata, Japan during Aug 30-Spt 01, 2023. This venue serves researchers in real-time computing, embedded systems, and IoT. RTCSA welcomes both academic and industrial papers describing […]

Paper on “Laplacian Matrix Sampling” accepted to JSAC SI: Communication-Efficient Distributed Learning over Networks

Our paper, Laplacian Matrix Sampling for Communication-efficient Decentralized Learning, is the first systematic optimization of a key hyperparameter in decentralized learning, the mixing matrix, based on a general cost model that can represent a number of important cost metrics (e.g., energy, load, time). The work was conducted in collaboration with IBM and ARL, but the […]

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