PopSGD: Decentralized Stochastic Gradient Descent in the Population Model

Nadiradze Giorgi
Nadiradze Giorgi
Sabour Amirmojtaba
Sabour Amirmojtaba
Sharma Aditya
Sharma Aditya
Markov Ilia
Markov Ilia
Aksenov Vitaly
Aksenov Vitaly
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Abstract:

The population model is a standard way to represent large-scale decentralized distributed systems, in which agents with limited computational power interact in randomly chosen pairs, in order to collectively solve global computational tasks. In contrast with synchronous gossip models, nodes are anonymous, lack a common notion of time,...More

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