Thinh T. Doan

On the convergence rate of distributed gradient methods for finite-sum optimization under communication delays

2017 · arXiv (Cornell University)

Motivated by applications in machine learning and statistics, we study distributed optimization problems over a network of processors, where the goal is to optimize a global objective composed of a sum of local functions. In …

Byzantine Fault-Tolerance in Federated Local SGD under 2f-Redundancy

2021 · arXiv (Cornell University)

We consider the problem of Byzantine fault-tolerance in federated machine learning. In this problem, the system comprises multiple agents each with local data, and a trusted centralized coordinator. In fault-free setting, the agents collaborate with …