4 papers
Communication-Computation Efficient Secure Aggregation for Federated Learning
Beongjun Choi, Jy-yong Sohn, Dong-Jun Han +1
Federated learning has been spotlighted as a way to train neural networks using distributed data with no need for individual nodes to share data. Unfortunately, it has also been sh…
Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks
Jy-yong Sohn, Dong-Jun Han, Beongjun Choi +1
Recent advances in large-scale distributed learning algorithms have enabled communication-efficient training via SignSGD. Unfortunately, a major issue continues to plague distribut…
A Class of MSR Codes for Clustered Distributed Storage
Jy-yong Sohn, Beongjun Choi, Jaekyun Moon
Clustered distributed storage models real data centers where intra- and cross-cluster repair bandwidths are different. In this paper, exact-repair minimum-storage-regenerating (MSR…
Secure Clustered Distributed Storage Against Eavesdroppers
Beongjun Choi, Jy-yong Sohn, Sung Whan Yoon +1
This paper considers the security issue of practical distributed storage systems (DSSs) which consist of multiple clusters of storage nodes. Noticing that actual storage nodes cons…