Trustworthy Federated Learning Research

This repository contains research works and projects on trustworthy federated learning. It includes:

1. Datasets. Preprocessing codes of datasets we used and developed for federated learning research.
2. Publications. Implementation codes of our publications.
3. Projects. Other projects in federated learning.

Federated Learning Portal

This Federated Learning Portal keeps track of books, workshops, conference special tracks, journal special issues, standardization effort and other notable events related to the field of Federated Learning (FL).

Datasets

Publications

Our publications are categorized as below:

• Highlight. Papers that have high impact or we recommend to read.
• FTL-FM. Grounding foundation models via federated transfer learning.
• Security and Privacy. Security and privacy attacks and defenses.
• Intellectual Property Protection. Intellectual property protection and ownership verification (on model or data).
• Effectiveness. Various algorithms aim to improve the effectiveness of FL.
• Efficiency. Communication and computation efficiency.
• Incentive. Incentive Mechanism.
• Theory. Theoretical work of federated learning.
• Application. Federated learning in real-world applications.
• Dataset. Datasets for federated learning research.
• Survey. Survey on various topics of federated learning.

High Citation Papers

Title	Code	Description	Semantic Scholar Citation	Google Scholar Citation (by 01/10/2023)
Federated machine learning: Concept and applications		ACM TIST 2019, the 3rd most cited federated learning paper		2995
Advances and Open Problems in Federated Learning		Foundations and Trends in Machine Learning 2021		2711
SecureBoost: A Lossless Federated Learning Framework	code	IEEE intelligent Systems 2021, widely-used federated tree-boosting algorithm, best paper award		333
A Secure Federated Transfer Learning Framework	code	IEEE Intelligent Systems 2020, the first federated transfer learning paper		338
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning	code	AAAI 2020, Innovative Application of Artificial Intelligence Award from AAAI in 2020		144
Batchcrypt: Efficient homomorphic encryption for cross-silo federated learning	code	2020 USENIX ATC 2020		261
A Fairness-aware Incentive Scheme for Federated Learning		AIES 2020		117
Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attack	code	NIPS 2019		118
Towards Personalized Federated Learning		IEEE Transactions on Neural Networks and Learning Systems 2022		115

Highlight Paper

FTL-FM

Security and Privacy

Intellectual Property Protection

Effectiveness