43 citations · 202 across the 38 of their papers we have counts for
46 papers
Towards Bias Correction of FedAvg over Nonuniform and Time-Varying Communications
Ming Xiang, Stratis Ioannidis, Edmund Yeh +2
Federated learning (FL) is a decentralized learning framework wherein a parameter server (PS) and a collection of clients collaboratively train a model via minimizing a global obje…
Congestion-aware routing and content placement in elastic cache networks
Jinkun Zhang, Edmund Yeh
Caching can be leveraged to significantly improve network performance and mitigate congestion. However, characterizing the optimal tradeoff between routing cost and cache deploymen…
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…
Robust Regression via Model Based Methods
Armin Moharrer, Khashayar Kamran, Edmund Yeh +1
The mean squared error loss is widely used in many applications, including auto-encoders, multi-target regression, and matrix factorization, to name a few. Despite computational ad…