4 citations · 15 across the 10 of their papers we have counts for
3 papers · 1 filter
Exploiting Heterogeneity in Robust Federated Best-Arm Identification
Aritra Mitra, Hamed Hassani, George Pappas
We study a federated variant of the best-arm identification problem in stochastic multi-armed bandits: a set of clients, each of whom can sample only a subset of the arms, collabor…
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients
Aritra Mitra, Rayana Jaafar, George J. Pappas +1
We consider a standard federated learning (FL) architecture where a group of clients periodically coordinate with a central server to train a statistical model. We develop a genera…
On the Computational Complexity of the Secure State-Reconstruction Problem
Yanwen Mao, Aritra Mitra, Shreyas Sundaram +1
In this paper, we discuss the computational complexity of reconstructing the state of a linear system from sensor measurements that have been corrupted by an adversary. The first r…