58 citations · 176 across the 35 of their papers we have counts for
4 papers · 1 filter
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms
Pranay Sharma, Rohan Panda, Gauri Joshi +1
In this paper, we consider nonconvex minimax optimization, which is gaining prominence in many modern machine learning applications such as GANs. Large-scale edge-based collection…
Distributed Stochastic Non-Convex Optimization: Momentum-Based Variance Reduction
Prashant Khanduri, Pranay Sharma, Swatantra Kafle +3
In this work, we propose a distributed algorithm for stochastic non-convex optimization. We consider a worker-server architecture where a set of worker nodes (WNs) in collabora…
Byzantine Resilient Non-Convex SVRG with Distributed Batch Gradient Computations
Prashant Khanduri, Saikiran Bulusu, Pranay Sharma +1
In this work, we consider the distributed stochastic optimization problem of minimizing a non-convex function in an adversarial sett…
Parallel Restarted SPIDER -- Communication Efficient Distributed Nonconvex Optimization with Optimal Computation Complexity
Pranay Sharma, Swatantra Kafle, Prashant Khanduri +3
In this paper, we propose a distributed algorithm for stochastic smooth, non-convex optimization. We assume a worker-server architecture where nodes, each having (potential…