-
Federated Learning with Compression: Unified Analysis and Sharp Guarantees
In federated learning, communication cost is often a critical bottleneck...
07/02/2020 ∙ by Farzin Haddadpour, et al. ∙
0
∙
share
read it
-
Efficient Fair Principal Component Analysis
The flourishing assessments of fairness measure in machine learning algo...
11/12/2019 ∙ by Mohammad Mahdi Kamani, et al. ∙
0
∙
share
read it
-
On the Convergence of Local Descent Methods in Federated Learning
In federated distributed learning, the goal is to optimize a global trai...
10/31/2019 ∙ by Farzin Haddadpour, et al. ∙
0
∙
share
read it
-
Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization
Communication overhead is one of the key challenges that hinders the sca...
10/30/2019 ∙ by Farzin Haddadpour, et al. ∙
0
∙
share
read it
-
Straggler-Resilient and Communication-Efficient Distributed Iterative Linear Solver
We propose a novel distributed iterative linear inverse solver method. O...
06/15/2018 ∙ by Farzin Haddadpour, et al. ∙
0
∙
share
read it
-
On the Optimal Recovery Threshold of Coded Matrix Multiplication
We provide novel coded computation strategies for distributed matrix-mat...
01/31/2018 ∙ by Sanghamitra Dutta, et al. ∙
0
∙
share
read it
