2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.DC2024
Distributed Tomographic Reconstruction with Quantization
Runxuan Miao, Selin Aslan, Erdem Koyuncu +1
Conventional tomographic reconstruction typically depends on centralized servers for both data storage and computation, leading to concerns about memory limitations and data privac…
cs.LG2022★ 2 cited
Federated Momentum Contrastive Clustering
Runxuan Miao, Erdem Koyuncu
We present federated momentum contrastive clustering (FedMCC), a learning framework that can not only extract discriminative representations over distributed local data but also pe…
eess.SP2021
Multiplication-Avoiding Variant of Power Iteration with Applications
Hongyi Pan, Diaa Badawi, Runxuan Miao +2
Power iteration is a fundamental algorithm in data analysis. It extracts the eigenvector corresponding to the largest eigenvalue of a given matrix. Applications include ranking alg…