Peer-to-peer deep learning with non-IID data

A state-of-the-art survey on solving non-IID data in Federated Learning

(2022) Xiaodong Ma et al.   Future Generation Computer Systems-The International Journal of eScience

Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing

(2021) Jed Mills et al.   IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS

DJAM: Distributed Jacobi Asynchronous Method for Learning Personal Models

(2018) Ines Almeida et al.   IEEE SIGNAL PROCESSING LETTERS

Distributed optimization for deep learning with gossip exchange

(2018) Michael Blot et al.   NEUROCOMPUTING

Stochastic Gradient-Push for Strongly Convex Functions on Time-Varying Directed Graphs

(2016) Angelia Nedic et al.   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

The MNIST Database of Handwritten Digit Images for Machine Learning Research [Best of the Web]

(2012) Li Deng   IEEE SIGNAL PROCESSING MAGAZINE