GeoMX: A fast and unified system for distributed machine learning over geo-distributed data centers.

Main Stooa's repository. The online fishbowl tool.

[ICML2022] ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training

Atomo: Communication-efficient Learning via Atomic Sparsification

Event-Triggered Communication in Parallel Machine Learning

The implementation of "Two-Stream Federated Learning: Reduce the Communication Costs" (VCIP 2018)

C3-SL: Circular Convolution-Based Batch-Wise Compression for Communication-Efficient Split Learning (IEEE MLSP 2022)

Communication-Efficient Stratified Stochastic Gradient Descent for Distributed Matrix Completion

Code for the paper "A Quadratic Synchronization Rule for Distributed Deep Learning"

FedAnil++ is a Privacy-Preserving and Communication-Efficient Federated Deep Learning Model to address non-IID data, privacy concerns, and communication overhead. This repo hosts a simulation for FedAnil++ written in Python.

A project that investigated, designed and evaluated different methods to reduce overall up-link communication (client -> server) during federated learning