2 citations · 3 across the 2 of their papers we have counts for
3 papers · 1 filter
Adaptive Gradient Quantization for Data-Parallel SGD
Fartash Faghri, Iman Tabrizian, Ilia Markov +3
Many communication-efficient variants of SGD use gradient quantization schemes. These schemes are often heuristic and fixed over the course of training. We empirically observe that…
Representation of Federated Learning via Worst-Case Robust Optimization Theory
Saeedeh Parsaeefard, Iman Tabrizian, Alberto Leon Garcia
Federated learning (FL) is a distributed learning approach where a set of end-user devices participate in the learning process by acting on their isolated local data sets. Here, we…
Artificial Intelligence as a Services (AI-aaS) on Software-Defined Infrastructure
Saeedeh Parsaeefard, Iman Tabrizian, Alberto Leon-Garcia
This paper investigates a paradigm for offering artificial intelligence as a service (AI-aaS) on software-defined infrastructures (SDIs). The increasing complexity of networking an…