1 citations · 2 across the 6 of their papers we have counts for
6 papers
Delay-optimal Congestion-aware Routing and Computation Offloading in Arbitrary Network
Jinkun Zhang, Yuezhou Liu, Edmund Yeh
Emerging edge computing paradigms enable heterogeneous devices to collaborate on complex computation applications. However, for arbitrary heterogeneous edge networks, delay-optimal…
Fair Concurrent Training of Multiple Models in Federated Learning
Marie Siew, Haoran Zhang, Jong-Ik Park +6
Federated learning (FL) enables collaborative learning across multiple clients. In most FL work, all clients train a single learning task. However, the recent proliferation of FL a…
Delay-Optimal Forwarding and Computation Offloading for Service Chain Tasks
Jinkun Zhang, Yuezhou Liu, Edmund Yeh
Emerging edge computing paradigms enable heterogeneous devices to collaborate on complex computation applications. However, for congestible links and computing units, delay-optimal…
Optimal Congestion-aware Routing and Offloading in Collaborative Edge Computing
Jinkun Zhang, Yuezhou Liu, Edmund Yeh
Collaborative edge computing (CEC) is an emerging paradigm where heterogeneous edge devices collaborate to fulfill computation tasks, such as model training or video processing, by…
Result and Congestion Aware Optimal Routing and Partial Offloading in Collaborative Edge Computing
Jinkun Zhang, Yuezhou Liu, Edmund Yeh
Collaborative edge computing (CEC) is an emerging paradigm where heterogeneous edge devices (stakeholders) collaborate to fulfill computation tasks, such as model training or video…
Experimental Design Networks: A Paradigm for Serving Heterogeneous Learners under Networking Constraints
Yuezhou Liu, Yuanyuan Li, Lili Su +2
Significant advances in edge computing capabilities enable learning to occur at geographically diverse locations. In general, the training data needed in those learning tasks are n…