Decentral and Incentivized Federated Learning Frameworks: A Systematic Literature Review

no code implementations • 7 May 2022 • Leon Witt, Mathis Heyer, Kentaroh Toyoda, Wojciech Samek, Dan Li

This is the first systematic literature review analyzing holistic FLFs in the domain of both, decentralized and incentivized federated learning.

Federated Learning

Reward-Based 1-bit Compressed Federated Distillation on Blockchain

no code implementations • 27 Jun 2021 • Leon Witt, Usama Zafar, KuoYeh Shen, Felix Sattler, Dan Li, Wojciech Samek

The recent advent of various forms of Federated Knowledge Distillation (FD) paves the way for a new generation of robust and communication-efficient Federated Learning (FL), where mere soft-labels are aggregated, rather than whole gradients of Deep Neural Networks (DNN) as done in previous FL schemes.

Federated Learning Knowledge Distillation