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Dlg yaml file change #437

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merged 11 commits into from
Nov 17, 2022
Merged

Dlg yaml file change #437

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d678f61
add FL fairness paper list
Osier-Yi Oct 24, 2022
0b8439e
Merge branch 'alibaba:master' into master
Osier-Yi Oct 24, 2022
965abe6
fix typos
Osier-Yi Oct 24, 2022
8b2731a
Merge branch 'master' of https://github.com/Osier-Yi/FederatedScope
Osier-Yi Oct 24, 2022
d5ca843
fix typos
Osier-Yi Oct 24, 2022
e78365d
Merge branch 'alibaba:master' into master
Osier-Yi Oct 24, 2022
d26443d
Merge branch 'alibaba:master' into master
Osier-Yi Nov 17, 2022
55f61c7
change dlg yaml file (setting dropout = 0); change unitest of dlg to …
Osier-Yi Nov 17, 2022
14b9683
delete blank line in server_attacker.py
Osier-Yi Nov 17, 2022
5e77d5c
Merge branch 'alibaba:master' into master
Osier-Yi Nov 17, 2022
19f0244
Merge branch 'master' of https://github.com/Osier-Yi/FederatedScope i…
Osier-Yi Nov 17, 2022
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fix typos
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Osier-Yi committed Oct 24, 2022
commit 965abe683d965abe53ae8d9a3eb41c46065216b7
5 changes: 2 additions & 3 deletions materials/paper_list/FL-Fairness/README.md
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Expand Up @@ -66,8 +66,7 @@
| Title | Venue | Link
| ------------------------------------------------------------ | ---------- |---------------------------------------------
|Collaboration equilibrium in federated learning| KDD | [pdf](https://arxiv.org/pdf/2108.07926.pdf)
| Fedfaim: A model performance-based fair incentive mechanism for federated learning| IEEE Transactions
on Big Data| [pdf](https://ieeexplore.ieee.org/document/9797864)
| Fedfaim: A model performance-based fair incentive mechanism for federated learning| IEEE Transactionson Big Data| [pdf](https://ieeexplore.ieee.org/document/9797864)



Expand All @@ -81,7 +80,7 @@ on Big Data| [pdf](https://ieeexplore.ieee.org/document/9797864)
### 2020
| Title | Venue | Link
| ------------------------------------------------------------ | ---------- |---------------------------------------------
|A fairness-aware incentive scheme for federated learning| AIES | 2020 ｜[pdf](https://dl.acm.org/doi/10.1145/3375627.3375840)
|A fairness-aware incentive scheme for federated learning| AIES ｜[pdf](https://dl.acm.org/doi/10.1145/3375627.3375840)
| Collaborative fairness in federated learning | Federated Learning | [pdf](https://arxiv.org/pdf/2008.12161.pdf)
| Towards fair and privacy-preserving federated deep models | IEEE TPDS | [pdf](https://arxiv.org/pdf/1906.01167.pdf)