awesome-vertical-federated-learning
A curated list of advancements in Vertical Federated Learning (VFL), frameworks and libraries.
Publications in Top-tier Conferences (or influential)
VFL benchmarks (benchmarks with VFL tasks)
VFL metrics / feature importance estimation
VFL Datasets (or datasets that are used in benchmarks)
Type |
Dataset |
Modality |
Link |
Benchmark |
# parties |
# samples |
# features |
# classes |
VFL-native |
NUS-WIDE |
Image |
Link |
VertiBench, VFLAIR |
5 |
269,648 |
64 / 144 / 73 / 128 / 225 |
2 |
VFL-native |
Satellite |
Image |
Link |
VertiBench |
16 |
3,927 |
13-channel 158x158 |
4 |
VFL-native |
Vehicle |
Acoustic, Seismic |
Link |
VertiBench |
2 |
78,823 |
50 / 50 |
3 |
VFL-native |
FedAds |
Table |
Link |
FedAds |
2 |
11,300,000 |
16 / 7 |
- |
Centralized |
covtype |
Table |
Link |
VertiBench |
- |
581,012 |
54 |
7 |
Centralized |
msd |
Table |
Link |
VertiBench |
- |
463,715 |
90 |
- |
Centralized |
realsim |
Table |
Link |
VertiBench |
- |
72,309 |
20,958 |
2 |
Centralized |
gisette |
Table |
Link |
VertiBench |
- |
60,000 |
5,000 |
2 |
Centralized |
epsilon |
Table |
Link |
VertiBench, FedAds |
- |
400,000 |
2,000 |
2 |
Centralized |
letter |
Table |
Link |
VertiBench |
- |
15,000 |
16 |
26 |
Centralized |
radar |
Table |
Link |
VertiBench |
- |
15,000 |
16 |
26 |
Centralized |
MNIST |
Image |
Link |
VertiBench, VFLAIR |
- |
325,834 |
174 |
7 |
Centralized |
CIFAR10 |
Image |
Link |
VertiBench, VFLAIR |
- |
60,000 |
1,024 |
10 |
Centralized |
CIFAR100 |
Image |
Link |
VFLAIR |
- |
60,000 |
1,024 |
100 |
Centralized |
Breast Cancer |
Table |
Link |
VFLAIR |
- |
569 |
32 |
2 |
Centralized |
Pima Indians Diabetes |
Table |
Link |
VFLAIR |
- |
768 |
9 |
2 |
Centralized |
Breast histopathology images |
Image |
Link |
FedAds |
|
|
|
|
Centralized |
Yahoo answers dataset |
Text |
Link |
FedAds |
|
|
|
|
Centralized |
Give Me Some Credit |
Tabilar |
link |
FedAds |
|
|
|
|
Centralized |
Avazu |
Tabilar |
link |
FedAds |
- |
45,006,432 |
23 |
2 |
Frameworks and Libraries with VFL support
github paper
VFL-related (hetero in FATE terminology) features:
- privacy-preserving strategies: SSHE and FedPass
paper
Implements a bunch of practical algorithms in horizontal and vertical FL settings
https://github.com/nusdbsystem/falcon