38 citations · 79 across the 4 of their papers we have counts for
4 papers
Feature Reconstruction Attacks and Countermeasures of DNN training in Vertical Federated Learning
Peng Ye, Zhifeng Jiang, Wei Wang +2
Federated learning (FL) has increasingly been deployed, in its vertical form, among organizations to facilitate secure collaborative training over siloed data. In vertical FL (VFL)…
Scalable K-FAC Training for Deep Neural Networks with Distributed Preconditioning
Lin Zhang, Shaohuai Shi, Wei Wang +1
The second-order optimization methods, notably the D-KFAC (Distributed Kronecker Factored Approximate Curvature) algorithms, have gained traction on accelerating deep neural networ…
Semi-Dynamic Load Balancing: Efficient Distributed Learning in Non-Dedicated Environments
Chen Chen, Qizhen Weng, Wei Wang +2
Machine learning (ML) models are increasingly trained in clusters with non-dedicated workers possessing heterogeneous resources. In such scenarios, model training efficiency can be…
Fairness of Congestion-Based Congestion Control: Experimental Evaluation and Analysis
Shiyao Ma, Jingjie Jiang, Wei Wang +1
BBR is a new congestion-based congestion control algorithm proposed by Google. A BBR flow sequentially measures the bottleneck bandwidth and round-trip delay of the network pipe, a…