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).

Language:PythonMIT4 90

v2x-self-revocation

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

Language:PythonMIT4 60

coap-actuators

Language:MakefileNOASSERTION3 8 18

eon

NOASSERTION3 50

FluxHELayers.jl

Language:JuliaMIT2 110

gnn-neighbors-xai

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

Language:Jupyter Notebook2 40

icassp-2023

Language:Python2 80

ldap4pl

Language:C2 12 1

Robust-Tracking-MPC-over-Lossy-Networks

Language:PythonMIT2 60

congruent-federated-learning

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

Language:PythonBSD-3-Clause1 40

EST-OSCORE

Protecting EST payloads with OSCORE

Language:MakefileNOASSERTION1 11 10

sdradrustffi

Language:RustBSD-3-Clause1 6 1

udp-ping

Language:C++MIT1 60

urdf-yang

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

Language:PythonMIT1 50

ace-ake-authz

Language:MakefileNOASSERTION013 8

ace-edhoc-oscore-profile

Language:MakefileNOASSERTION0120

cti-kb

Language:Python040

Dynamic-Edge-Server-Grouping

Language:JavaMIT050

iot-framework-api-python

Apache-2.00120

Line-Based-Room-Segmentation-and-EDF

Language:PythonMIT060

network-aware-service-continuity-assurance

Network-Aware Service Continuity Assurance (NASCA)

Language:PythonMIT050

Ericsson Research

EricssonResearch