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An experimental platform to quickly realize and compare with popular centralized federated learning algorithms. A realization of federated learning algorithm on fairness (FedFV, Federated Learning with Fair Averaging, https://fanxlxmu.github.io/publication/ijcai2021/) was accepted by IJCAI-21 (https://www.ijcai.org/proceedings/2021/223).

Python Seminar ⭐ 310

Python for Data Science (Seminar Course at UC Berkeley; AY 250)

Spark With Python ⭐ 98

Fundamentals of Spark with Python (using PySpark), code examples

Learning_ray ⭐ 84

Code for the upcoming book "Learning Ray" with O'Reilly

Ensae_teaching_cs ⭐ 71

Teaching materials in python at the @ENSAE

Python Json Socket ⭐ 53

JSON messaging based socket interface with multi-threaded server and client

Ray Core Tutorial ⭐ 45

Introduction to Ray Core Design Patterns and APIs.

Spark Ray Data Science ⭐ 29

Supporting content (slides and exercises) for the Pearson video series covering best practices for developing scalable applications with Spark and Ray in the context of a data scientist's standard workflow.

Open Stream Processing Benchmark ⭐ 24

This repository contains the code base for the Open Stream Processing Benchmark.

Ml_notebooks ⭐ 17

Collection of machine learning related notebooks to share.

Federated Learning And Split Learning With Raspberry Pi ⭐ 17

SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things

Dask Saturn ⭐ 12

Python library for interacting with Dask clusters in Saturn

Spark Xarray ⭐ 8

This is an experimental project that seeks to integrate PySpark and xarray for Climate Data Analysis.

Doframework ⭐ 7

A Testing Framework for Decision-Optimization Model Learning Algorithms

Spark Data Repair Plugin ⭐ 5

Provide functionality to build statistical models to repair dirty tabular data in Spark

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