隐私计算论文合集「联邦学习系列」第2期_隐私计算方向论文

Federated machine learning: Concept and applications
Federated Learning in Mobile Edge Networks: A Comprehensive Survey
Advances and Open Problems in Federated Learning
Federated Learning: Challenges, Methods, and Future Directions

Security

A survey on security and privacy of federated learning
Threats to Federated Learning: A Survey
Vulnerabilities in Federated Learning

由于篇幅原因，还有更多论文未能一一列举，请访问github收藏！https://github.com/secretflow/secretflow/blob/main/docs/awesome-pets/papers/applications/ppml/fl/fl.md

2、Datasets

LEAF: A Benchmark for Federated Settings HomePage
UniMiB SHAR: a new dataset for human activity recognition using acceleration data from smartphones HomePage
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems
Evaluation Framework For Large-scale Federated Learning
(*) PrivacyFL: A simulator for privacy-preserving and secure federated learning. MIT CSAIL.
Revocable Federated Learning: A Benchmark of Federated Forest

3、Efficiency

Quantization

Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients
Lazily Aggregated Quantized Gradient Innovation for Communication-Efficient Federated Learning
Communication Efficient Federated Learning with Adaptive Quantization
QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding
DEED: A General Quantization Scheme for Communication Efficiency in Bits

4、Effectiveness

Model Aggregation

FedAvg: Communication-Efficient Learning of Deep Networks from Decentralized Data
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning
Federated Learning with Matched Averaging
Federated Learning of a Mixture of Global and Local Models
Faster On-Device Training Using New Federated Momentum Algorithm
FedDANE: A Federated Newton-Type Method
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

5、Incentive

Contribution Evaluation

Data Shapley: Equitable Valuation of Data for Machine Learning
A principled approach to data valuation for federated learning
Measure contribution of participants in federated learning
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning
Profit allocation for federated learning
Fedcoin: A peer-to-peer payment system for federated learning

Profit Allocation

Hierarchical Incentive Mechanism Design for Federated Machine Learning in Mobile networks
FAIR: Quality-Aware Federated Learning with Precise User Incentive and Model Aggregation
Incentive Mechanism for Horizontal Federated Learning Based on Reputation and Reverse Auction

6、Vertical FL

SecureBoost: A Lossless Federated Learning Framework
Parallel Distributed Logistic Regression for Vertical Federated Learning without Third-Party Coordinator
Entity Resolution and Federated Learning get a Federated Resolution.
Multi-Participant Multi-Class Vertical Federated Learning
A Communication-Efficient Collaborative Learning Framework for Distributed Features
Asymmetrical Vertical Federated Learning

7、Boosting

Practical Federated Gradient Boosting Decision Trees
Secureboost: A lossless federated learning framework
Large-scale Secure XGB for Vertical Federated Learning

8、Application

Natural language Processing

Federated pretraining and fine tuning of BERT using clinical notes from multiple silos
Federated Learning for Mobile Keyboard Prediction
Federated Learning for Keyword Spotting
generative sequence models (e.g., language models)
Federated User Representation Learning
Two-stage Federated Phenotyping and Patient Representation Learning

由于篇幅原因，还有更多论文未能一一列举，请访问github收藏！

https://github.com/secretflow/secretflow/blob/main/docs/awesome-pets/papers/applications/ppml/fl/fl.md

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