Ericsson Research
Early research results and innovative ideas from Ericsson Research
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Showing 10 of 68 repositories
- ace-edhoc-oscore-profile Public
- heteroscedasticity-aware-fl-for-network-optimization Public
Algorithms and code to run the experiments in the report “Fair and Efficient Federated Learning for Network Optimization with Heteroscedastic Data”.
- congruent-federated-learning Public
This repository contains the implementation of the congruent federated learning (CFL) to be published at IEEE TMLCN
- Dynamic-Edge-Server-Grouping Public
- secure-rewind-and-discard Public