167 citations · 339 across the 26 of their papers we have counts for
6 papers · 1 filter
Synergy via Redundancy: Adaptive Replication Strategies and Fundamental Limits
Gauri Joshi, Dhruva Kaushal
The maximum possible throughput (or the rate of job completion) of a multi-server system is typically the sum of the service rates of individual servers. Recent work shows that lau…
Bandit-based Communication-Efficient Client Selection Strategies for Federated Learning
Yae Jee Cho, Samarth Gupta, Gauri Joshi +1
Due to communication constraints and intermittent client availability in federated learning, only a subset of clients can participate in each training round. While most prior works…
Service Rate Region: A New Aspect of Coded Distributed System Design
Mehmet Aktas, Gauri Joshi, Swanand Kadhe +2
Erasure coding has been recognized as a powerful method to mitigate delays due to slow or straggling nodes in distributed systems. This work shows that erasure coding of data objec…
Probabilistic Neighbourhood Component Analysis: Sample Efficient Uncertainty Estimation in Deep Learning
Ankur Mallick, Chaitanya Dwivedi, Bhavya Kailkhura +2
While Deep Neural Networks (DNNs) achieve state-of-the-art accuracy in various applications, they often fall short in accurately estimating their predictive uncertainty and, in tur…
Slow and Stale Gradients Can Win the Race
Sanghamitra Dutta, Jianyu Wang, Gauri Joshi
Distributed Stochastic Gradient Descent (SGD) when run in a synchronous manner, suffers from delays in runtime as it waits for the slowest workers (stragglers). Asynchronous method…
Machine Learning on Volatile Instances
Xiaoxi Zhang, Jianyu Wang, Gauri Joshi +1
Due to the massive size of the neural network models and training datasets used in machine learning today, it is imperative to distribute stochastic gradient descent (SGD) by split…