most citedSecurity-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2022

Fast-Convergent Federated Learning via Cyclic Aggregation

Youngjoon Lee, Sangwoo Park, Joonhyuk Kang

Federated learning (FL) aims at optimizing a shared global model over multiple edge devices without transmitting (private) data to the central server. While it is theoretically wel…

cs.LG2022★ 2 cited

Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance

Youngjoon Lee, Sangwoo Park, Joonhyuk Kang

While being an effective framework of learning a shared model across multiple edge devices, federated learning (FL) is generally vulnerable to Byzantine attacks from adversarial ed…