Flower: A Friendly Federated Learning Framework

This course is a rigorous, year-long introduction to computational social science. We cover topics spanning reproducibility and collaboration, machine learning, natural language processing, and cau…

FedML - The federated learning and analytics library enabling secure and collaborative machine learning on decentralized data anywhere at any scale. Supporting large-scale cross-silo federated lear…

[ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization

The implemetation of Deep Reinforcement Learning based Recommender System from the paper Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling by Liu et al.

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

A collection of Google research projects related to Federated Learning and Federated Analytics.

[ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Pape…