activity
20152023
most citedFedML: A Research Library and Benchmark for Federated Machine Learning

354 citations · 693 across the 36 of their papers we have counts for

collaborators
Showing 2017Show all

5 papers · 1 filter

cs.IT2017★ 8 cited

Near-Optimal Straggler Mitigation for Distributed Gradient Methods

Songze Li, Seyed Mohammadreza Mousavi Kalan, A. Salman Avestimehr +1

Modern learning algorithms use gradient descent updates to train inferential models that best explain data. Scaling these approaches to massive data sizes requires proper distribut…

cs.IT2017

Communication-Aware Computing for Edge Processing

Songze Li, Mohammad Ali Maddah-Ali, A. Salman Avestimehr

We consider a mobile edge computing problem, in which mobile users offload their computation tasks to computing nodes (e.g., base stations) at the network edge. The edge nodes comp…

cs.IT2017★ 9 cited

How to Optimally Allocate Resources for Coded Distributed Computing?

Qian Yu, Songze Li, Mohammad Ali Maddah-Ali +1

Today's data centers have an abundance of computing resources, hosting server clusters consisting of as many as tens or hundreds of thousands of machines. To execute a complex comp…

cs.IT2017★ 2 cited

Coding for Distributed Fog Computing

Songze Li, Mohammad Ali Maddah-Ali, A. Salman Avestimehr

Redundancy is abundant in Fog networks (i.e., many computing and storage points) and grows linearly with network size. We demonstrate the transformational role of coding in Fog com…

cs.DC2017

Coded TeraSort

Songze Li, Sucha Supittayapornpong, Mohammad Ali Maddah-Ali +1

We focus on sorting, which is the building block of many machine learning algorithms, and propose a novel distributed sorting algorithm, named Coded TeraSort, which substantially i…