HengZhang
61b812d76f
The origin version of FederatedScope |
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| README.md | ||
README.md
Fairness in Federated Learning
Fairness - Demographic Disparity
2022
| Title | Venue | Link |
|---|---|---|
| Privfairfl: Privacy-preserving group fairness in federated learning | arxiv | |
| Fair federated learning for heterogeneous data | IKDD CODS & COMAD | |
| FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning | NeurIPS |
2021
| Title | Venue | Link |
|---|---|---|
| Addressing algorithmic disparity and performance inconsistency in federated learning | NeurIPS Workshop | |
| Enforcing fairness in private federated learning via the modified method of differential multipliers | NeurIPS Workshop | |
| Fairness-aware agnostic federated learning | SDM | |
| Federated adversarial debiasing for fair and transferable representations | KDD |
2019
| Title | Venue | Link |
|---|---|---|
| Agnostic federated learning | ICML |
Fairness - Client performance parity
Survey
| Title | Venue | Link |
|---|---|---|
| Non-iid data and continual learning processes in federated learning: A long road ahead | Information Fution | |
| Federated learning on non-iid data silos: An experimental study | ICDE | |
| Federated learning on non-iid data: A survey | Neurocomputing |
2022
| Title | Venue | Link |
|---|---|---|
| Fedmgda+: Federated learning meets multi-objective optimization | IEEE Transactions on Network Science and Engineering | |
| Fairness in Federated Learning via Core-Stability | NeurIPS |
2021
| Title | Venue | Link |
|---|---|---|
| Ditto: Fair and robust federated learning through personalization | ICML |
2020
| Title | Venue | Link |
|---|---|---|
| Federated optimization in heterogeneous networks | ICML | |
| Fair resource allocation in federated learning | ICLR | |
| Scaffold: Stochastic controlled averaging for federated learning | ICML |
Fairness - Collaborative fairness
Survey
| Title | Venue | Link |
|---|---|---|
| A comprehensive survey of incentive mechanism for federated learning | arXiv |
2022
| Title | Venue | Link |
|---|---|---|
| Collaboration equilibrium in federated learning | KDD | |
| Fedfaim: A model performance-based fair incentive mechanism for federated learning | IEEE Transactionson Big Data |
2021
| Title | Venue | Link |
|---|---|---|
| Incentive mechanism for horizontal federated learning based on reputation and reverse auction | WWW | |
| One for one, or all for all: Equilibria and optimality of collaboration in federated learning | ICML |
2020
| Title | Venue | Link |
|---|---|---|
| A fairness-aware incentive scheme for federated learning | AIES | |
| Collaborative fairness in federated learning | Federated Learning | |
| Towards fair and privacy-preserving federated deep models | IEEE TPDS |