A collection of research papers, codes, tutorials and blogs on ML carried out in a federated manner (distributed;decentralized).
Maintainer - Tushar Semwal
- Online Comic from Google AI on Federated Learning
- Federated Learning: Collaborative Machine Learning without Centralized Training Data
- An Introduction to Federated Learning
- Federated learning: Distributed machine learning with data locality and privacy
- Federated Learning: The Future of Distributed Machine Learning
- Federated Learning for Wake Word Detection
- Federated Machine Learning: Concept and Applications, ACM TIST 2019.
- On the Convergence of FedAvg on Non-IID Data
- Federated Learning for Time Series Forecasting Using LSTM Networks: Exploiting Similarities Through Clustering, Student thesis, KTH.
- Adaptive Federated Learning in Resource Constrained Edge Computing Systems, IEEE JSAC.
- Privacy-Preserving Deep Learning via Weight Transmission
- Learning Private Neural Language Modeling with Attentive Aggregation, IJCNN 2019. [Code]
- Federated Learning of Out-of-Vocabulary Words
- Towards Federated Learning at Scale: System Design
- Agnostic Federated Learning
- Peer-to-peer Federated Learning on Graphs
- Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge
- Federated Kernelized Multi-Task Learning
- Federated Learning with Non-IID Data
- Distributed Fine-tuning of Language Models on Private Data, ICLR 2018.
- Federated Learning Based Proactive Content Caching in Edge Computing, IEEE GLOBECOM 2018.
- When Edge Meets Learning: Adaptive Control for Resource-Constrained Distributed Machine Learning, IEEE Infocom 2018.
- How To Backdoor Federated Learning
- LEAF: A Benchmark for Federated Settings
- Communication-Efficient Learning of Deep Networks from Decentralized Data, AISTATS 2017.
- Differentially Private Federated Learning: A Client Level Perspective, NIPS 2017 Workshop. [Code]
- Federated Tensor Factorization for Computational Phenotyping, KDD 2017.
- Federated Multi-Task Learning, NIPS 2017.
- Practical Secure Aggregation for Federated Learning on User-Held Data
- Federated Learning: Strategies for Improving Communication Efficiency
- Privacy-Preserving Deep Learning, ACM SIGSAC 2015.
- PySyft - Github - A PyTorch based library.
- Tensorflow Federated - TFF - A library on top of Tensorflow.
- Tensorflow Federated - Github
- Industrial Federated Learning Framework, Federated AI Technology Enabler, WeBank AI
- PyTorch Federated Learning - Github