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MARFOQ Othmane's Projects

edgeml icon edgeml

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

fedem icon fedem

Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)

fedprox icon fedprox

Federated Optimization in Heterogeneous Networks (MLSys '20)

flsim icon flsim

Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. FLSim is domain-agnostic and accommodates many use cases such as vision and text.

kernel_methods_for_machine_learning icon kernel_methods_for_machine_learning

The goal of the data challenge is to learn how to implement machine learning algorithms, gain understanding about them and adapt them to structural data. For this reason, we have chosen a sequence classification task: predicting whether a DNA sequence region is binding site to a specific transcription factor.

knn-per icon knn-per

Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)

leaf icon leaf

Leaf: A Benchmark for Federated Settings

pfedhn icon pfedhn

Official code implementation for "Personalized Federated Learning using Hypernetworks"

streaming-fl icon streaming-fl

Official code for "Federated Learning for Data Streams" (AISTATS'23)

wasserstein-gan icon wasserstein-gan

In this repository we explore Wasserstein gan with different archtectures and we apply them on different datasets

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