Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Keshav Balasubramanian

SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks

Jun 04, 2021
Chaoyang He, Emir Ceyani, Keshav Balasubramanian, Murali Annavaram, Salman Avestimehr

* Three co-1st authors have equal contribution (alphabetical order) 

  Access Paper or Ask Questions

FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks

Apr 14, 2021
Chaoyang He, Keshav Balasubramanian, Emir Ceyani, Yu Rong, Peilin Zhao, Junzhou Huang, Murali Annavaram, Salman Avestimehr

* The first three authors contribute equally. Our shorter versions are accepted to ICLR 2021 Workshop on Distributed and Private Machine Learning(DPML) and MLSys 2021 GNNSys Workshop on Graph Neural Networks and Systems 

  Access Paper or Ask Questions

Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning

Feb 08, 2021
Elan Markowitz, Keshav Balasubramanian, Mehrnoosh Mirtaheri, Sami Abu-El-Haija, Bryan Perozzi, Greg Ver Steeg, Aram Galstyan

* To appear in ICLR 2021 

  Access Paper or Ask Questions

Distributed Training of Graph Convolutional Networks using Subgraph Approximation

Dec 09, 2020
Alexandra Angerd, Keshav Balasubramanian, Murali Annavaram

  Access Paper or Ask Questions