Ericsson Research

This repo contains code for the paper Adaptive Expert Models for Personalization in Federated Learning to appear in International Workshop on Trustworthy Federated Learning in Conjunction with IJCAI 2022 (FL-IJCAI'22).

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v2x-self-revocation

Artifacts for NDSS'24 paper "Efficient and Timely Revocation of V2X Credentials"

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eon

NOASSERTION3 50

gnn-neighbors-xai

Official implementation of “Evaluating Neighbor Explainability for Graph Neural Networks”

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Robust-Tracking-MPC-over-Lossy-Networks

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bloombility

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congruent-federated-learning

This repository contains the implementation of the congruent federated learning (CFL) to be published at IEEE TMLCN

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EST-OSCORE

Protecting EST payloads with OSCORE

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icassp-2023

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sdradrustffi

Language:RustBSD-3-Clause1 6 1

udp-ping

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urdf-yang

The repository contains network extensions modelled in Yang of the URDF descritions of various IoT devices

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ace-ake-authz

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ace-edhoc-oscore-profile

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cti-kb

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Dynamic-Edge-Server-Grouping

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heteroscedasticity-aware-fl-for-network-optimization

Algorithms and code to run the experiments in the report “Fair and Efficient Federated Learning for Network Optimization with Heteroscedastic Data”.

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Line-Based-Room-Segmentation-and-EDF

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network-aware-service-continuity-assurance

Network-Aware Service Continuity Assurance (NASCA)

Language:PythonMIT050

ufser

Language:C++MIT000

valor

A tool for generating persistent co-routines in C++

Language:C++MIT000

Ericsson Research

EricssonResearch