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rsa-byzantine

rwndq

RWNDQ is an Equal Share Allocation Switch Design for Data Centre Networks

sdn-gcc

SDN-based Transport-Agnostic Congestion Control (SDN-GCC)

shallow-deep-networks

Source Code for ICML 2019 Paper "Shallow-Deep Networks: Understanding and Mitigating Network Overthinking"

shift

shrinkbench

PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.

sicc

SDN-based Incast Congestion Control for Data Centers

sidco

SIDCo is An Efficient Statistical-based Gradient Compression Technique for Distributed Training Systems

signsgd

Code for the signSGD paper

signsgd-with-majority-vote

simplicial-fl

Simplicial-FL to manage client device heterogeneity in Federated Learning

sketchdlc

sketchedsgd

Sketched SGD

sketchml

Accelerating Distributed Machine Learning with Data Sketches

sparkstreaming-network-anomaly-detection

This repository includes supervised and unsupervised machine learning methods which are used to detect anomalies on network datasets. Decision Tree, Random Forest, Gradient Boost Tree, Naive Bayes, and Logistic Regression were used for supervised learning. K-Means was used for unsupervised learning.

sparsifiedsgd

Code for Sparsified SGD.

split-learning-and-federated-learning

Investigating Split Learning and Federate Learning

spliteasy

Code for "SplitEasy: A Practical Approach for Training ML models on Mobile Devices in a split second"

splitfed

splitfed-when-federated-learning-meets-split-learning

Releasing the source code Version1.

splitnet-wrn

Code for ICML 2017 paper, SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

substra

Substra is a framework for traceable ML orchestration on decentralized sensitive data.

superneurons-release

this is the release repository of superneurons

synaptic-flow

sysml-reading-list

Systems for ML/AI & ML/AI for Systems paper reading list: A curated reading list of computer science research for work at the intersection of machine learning and systems. PR are welcome.

system-design-interview

System design interview for IT company

t-racks

Timely ACKs Retransmission for Data Centres

tbd-suite

tcp-incast

Mitigate TCP Incast congestion using ACK packets