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2503.08085
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PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models
International Conference on Learning Representations (ICLR), 2025
11 March 2025
Kyeongkook Seo
Dong-Jun Han
Jaejun Yoo
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Papers citing
"PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models"
47 / 47 papers shown
Policy Search, Retrieval, and Composition via Task Similarity in Collaborative Agentic Systems
Saptarshi Nath
Christos Peridis
Eseoghene Benjamin
Hengrong Du
Soheil Kolouri
Peter Kinnell
Zexin Li
Cong Liu
Shirin Dora
Andrea Soltoggio
348
0
0
05 Jun 2025
PATE-TripleGAN: Privacy-Preserving Image Synthesis with Gaussian Differential Privacy
Zepeng Jiang
Weiwei Ni
Yifan Zhang
PICV
393
1
0
19 Apr 2024
PosterLlama: Bridging Design Ability of Langauge Model to Contents-Aware Layout Generation
Jaejung Seol
Seojun Kim
Jaejun Yoo
3DV
VLM
323
36
0
01 Apr 2024
Hybrid Video Diffusion Models with 2D Triplane and 3D Wavelet Representation
Kihong Kim
Haneol Lee
Jihye Park
Seyeon Kim
Kwanghee Lee
Seungryong Kim
Jaejun Yoo
VGen
DiffM
240
11
0
21 Feb 2024
Can We Find Strong Lottery Tickets in Generative Models?
AAAI Conference on Artificial Intelligence (AAAI), 2022
Sangyeop Yeo
Yoojin Jang
Jy-yong Sohn
Dongyoon Han
Jaejun Yoo
172
8
0
16 Dec 2022
Will we run out of data? Limits of LLM scaling based on human-generated data
Pablo Villalobos
A. Ho
J. Sevilla
T. Besiroglu
Lennart Heim
Marius Hobbhahn
ALM
382
213
0
26 Oct 2022
Differentially Private Diffusion Models
Tim Dockhorn
Tianshi Cao
Arash Vahdat
Karsten Kreis
DiffM
607
141
0
18 Oct 2022
Sparse Random Networks for Communication-Efficient Federated Learning
International Conference on Learning Representations (ICLR), 2022
Berivan Isik
Francesco Pase
Deniz Gunduz
Tsachy Weissman
M. Zorzi
FedML
254
65
0
30 Sep 2022
MULTI-FLGANs: Multi-Distributed Adversarial Networks for Non-IID distribution
Akash Amalan
Rui Wang
Yan Qiao
E. Panaousis
K. Liang
FedML
OOD
212
4
0
24 Jun 2022
QUIC-FL: Quick Unbiased Compression for Federated Learning
Ran Ben-Basat
S. Vargaftik
Amit Portnoy
Gil Einziger
Y. Ben-Itzhak
Michael Mitzenmacher
FedML
369
14
0
26 May 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents
Aditya A. Ramesh
Prafulla Dhariwal
Alex Nichol
Casey Chu
Mark Chen
VLM
DiffM
1.5K
8,694
0
13 Apr 2022
Generative Adversarial Networks
International Conference on Computing Communication and Networking Technologies (ICCCNT), 2021
Gilad Cohen
Raja Giryes
GAN
956
30,459
0
01 Mar 2022
Federated Learning with Sparsified Model Perturbation: Improving Accuracy under Client-Level Differential Privacy
IEEE Transactions on Mobile Computing (IEEE TMC), 2022
Rui Hu
Yanmin Gong
Yuanxiong Guo
FedML
383
109
0
15 Feb 2022
Optimizing the Communication-Accuracy Trade-off in Federated Learning with Rate-Distortion Theory
Nicole Mitchell
Johannes Ballé
Zachary B. Charles
Jakub Konecný
FedML
378
25
0
07 Jan 2022
StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2
Computer Vision and Pattern Recognition (CVPR), 2021
Ivan Skorokhodov
Sergey Tulyakov
Mohamed Elhoseiny
VGen
557
368
0
29 Dec 2021
High-Resolution Image Synthesis with Latent Diffusion Models
Computer Vision and Pattern Recognition (CVPR), 2021
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
DiffM
4.7K
23,267
0
20 Dec 2021
Improving GAN Equilibrium by Raising Spatial Awareness
Jianyuan Wang
Ceyuan Yang
Yinghao Xu
Yujun Shen
Hongdong Li
Bolei Zhou
GAN
468
33
0
01 Dec 2021
Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning
Computer Vision and Pattern Recognition (CVPR), 2021
Matías Mendieta
Taojiannan Yang
Pu Wang
Minwoo Lee
Zhengming Ding
Chong Chen
FedML
445
228
0
28 Nov 2021
Palette: Image-to-Image Diffusion Models
International Conference on Computer Graphics and Interactive Techniques (SIGGRAPH), 2021
Chitwan Saharia
William Chan
Huiwen Chang
Chris A. Lee
Jonathan Ho
Tim Salimans
David J. Fleet
Mohammad Norouzi
DiffM
VLM
1.4K
2,139
0
10 Nov 2021
Opacus: User-Friendly Differential Privacy Library in PyTorch
Ashkan Yousefpour
I. Shilov
Alexandre Sablayrolles
Davide Testuggine
Karthik Prasad
...
Sayan Gosh
Akash Bharadwaj
Jessica Zhao
Graham Cormode
Ilya Mironov
VLM
761
493
0
25 Sep 2021
Privacy Amplification Via Bernoulli Sampling
Jacob Imola
Kamalika Chaudhuri
FedML
257
8
0
21 May 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
International Conference on Learning Representations (ICLR), 2021
Xiaoxiao Li
Meirui Jiang
Xiaofei Zhang
Michael Kamp
Qi Dou
OOD
FedML
966
1,123
0
15 Feb 2021
Training Federated GANs with Theoretical Guarantees: A Universal Aggregation Approach
Yikai Zhang
Hui Qu
Qi Chang
Huidong Liu
Dimitris N. Metaxas
Chao Chen
FedML
210
16
0
09 Feb 2021
Logarithmic Pruning is All You Need
Laurent Orseau
Marcus Hutter
Omar Rivasplata
223
99
0
22 Jun 2020
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
6.0K
28,926
0
19 Jun 2020
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators
Dingfan Chen
Tribhuvanesh Orekondy
Mario Fritz
SyDa
281
215
0
15 Jun 2020
FedGAN: Federated Generative Adversarial Networks for Distributed Data
M. Rasouli
Tao Sun
Ram Rajagopal
FedML
341
177
0
12 Jun 2020
GANs May Have No Nash Equilibria
International Conference on Machine Learning (ICML), 2020
Farzan Farnia
Asuman Ozdaglar
GAN
285
45
0
21 Feb 2020
Proving the Lottery Ticket Hypothesis: Pruning is All You Need
International Conference on Machine Learning (ICML), 2020
Eran Malach
Gilad Yehudai
Shai Shalev-Shwartz
Ohad Shamir
422
322
0
03 Feb 2020
StarGAN v2: Diverse Image Synthesis for Multiple Domains
Computer Vision and Pattern Recognition (CVPR), 2019
Yunjey Choi
Youngjung Uh
Jaejun Yoo
Jung-Woo Ha
3DH
796
2,041
0
04 Dec 2019
What's Hidden in a Randomly Weighted Neural Network?
Computer Vision and Pattern Recognition (CVPR), 2019
Vivek Ramanujan
Mitchell Wortsman
Aniruddha Kembhavi
Ali Farhadi
Mohammad Rastegari
374
398
0
29 Nov 2019
Generative Models for Effective ML on Private, Decentralized Datasets
International Conference on Learning Representations (ICLR), 2019
S. Augenstein
H. B. McMahan
Daniel Ramage
Swaroop Indra Ramaswamy
Peter Kairouz
Mingqing Chen
Rajiv Mathews
Blaise Agüera y Arcas
SyDa
333
207
0
15 Nov 2019
Federated Learning with Differential Privacy: Algorithms and Performance Analysis
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2019
Kang Wei
Jun Li
Ming Ding
Chuan Ma
Heng Yang
Farokhi Farhad
Shi Jin
Tony Q.S. Quek
H. Vincent Poor
FedML
787
2,099
0
01 Nov 2019
Rényi Differential Privacy of the Sampled Gaussian Mechanism
Ilya Mironov
Kunal Talwar
Li Zhang
324
334
0
28 Aug 2019
Improved Precision and Recall Metric for Assessing Generative Models
Tuomas Kynkaanniemi
Tero Karras
S. Laine
J. Lehtinen
Timo Aila
EGVM
596
1,176
0
15 Apr 2019
Learning Implicit Generative Models by Matching Perceptual Features
Cicero Nogueira dos Santos
Youssef Mroueh
Inkit Padhi
Pierre Dognin
GAN
206
30
0
04 Apr 2019
Federated Optimization in Heterogeneous Networks
Tian Li
Anit Kumar Sahu
Manzil Zaheer
Maziar Sanjabi
Ameet Talwalkar
Virginia Smith
FedML
1.2K
7,393
0
14 Dec 2018
MD-GAN: Multi-Discriminator Generative Adversarial Networks for Distributed Datasets
IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2018
Corentin Hardy
Erwan Le Merrer
B. Sericola
GAN
394
219
0
09 Nov 2018
Subsampled Rényi Differential Privacy and Analytical Moments Accountant
Yu Wang
Borja Balle
S. Kasiviswanathan
501
462
0
31 Jul 2018
Federated Learning with Non-IID Data
Yue Zhao
Meng Li
Liangzhen Lai
Naveen Suda
Damon Civin
Vikas Chandra
FedML
798
3,173
0
02 Jun 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Jonathan Frankle
Michael Carbin
1.3K
4,096
0
09 Mar 2018
Demystifying MMD GANs
Mikolaj Binkowski
Danica J. Sutherland
Michael Arbel
Arthur Gretton
EGVM
2.5K
1,913
0
04 Jan 2018
MMD GAN: Towards Deeper Understanding of Moment Matching Network
Chun-Liang Li
Wei-Cheng Chang
Yu Cheng
Yiming Yang
Barnabás Póczós
GAN
476
775
0
24 May 2017
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
931
10,675
0
31 Mar 2017
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
1.8K
23,514
0
17 Feb 2016
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
1.4K
20,294
0
06 Feb 2015
A Kernel Method for the Two-Sample Problem
Neural Information Processing Systems (NeurIPS), 2006
Arthur Gretton
Karsten Borgwardt
Malte J. Rasch
Bernhard Schölkopf
Alex Smola
1.2K
2,588
0
15 May 2008
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