Trustworthy Federated Learning: Privacy, Security, and Beyond

3 November 2024

Papers citing "Trustworthy Federated Learning: Privacy, Security, and Beyond"

50 / 84 papers shown

Title
Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare Navid Seidi Satyaki Roy Sajal Das FedML 64 0 0 22 May 2025
SGDPO: Self-Guided Direct Preference Optimization for Language Model Alignment Wenqiao Zhu Ji Liu Lulu Wang Jun Wu Yulun Zhang 82 0 0 18 May 2025
Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models Ji Liu Jiaxiang Ren Ruoming Jin Zijie Zhang Yang Zhou P. Valduriez Dejing Dou FedML 72 5 0 30 Sep 2024
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data Ji Liu Juncheng Jia Hong Zhang Yuhui Yun Leye Wang Yang Zhou H. Dai Dejing Dou FedML 75 7 0 11 Aug 2024
AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices Ji Liu Tianshi Che Yang Zhou Ruoming Jin H. Dai Dejing Dou P. Valduriez 91 13 0 18 Dec 2023
Distributed and Deep Vertical Federated Learning with Big Data Ji Liu Xuehai Zhou L. Mo Shilei Ji Yuan Liao Zhu Li Qinhua Gu Dejing Dou FedML 65 18 0 08 Mar 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy Yifei Zhang Dun Zeng Jinglong Luo Zenglin Xu Irwin King FedML 156 48 0 21 Feb 2023
Multi-Job Intelligent Scheduling with Cross-Device Federated Learning Ji Liu Juncheng Jia Beichen Ma Chen Zhou Jingbo Zhou Yang Zhou H. Dai Dejing Dou FedML 87 24 0 24 Nov 2022
Federated and Privacy-Preserving Learning of Accounting Data in Financial Statement Audits Marco Schreyer Timur Sattarov Damian Borth MLAU 66 16 0 26 Aug 2022
Accelerated Federated Learning with Decoupled Adaptive Optimization Jiayin Jin Jiaxiang Ren Yang Zhou Lingjuan Lyu Ji Liu Dejing Dou AI4CE FedML 70 52 0 14 Jul 2022
Large-scale Knowledge Distillation with Elastic Heterogeneous Computing Resources Ji Liu Daxiang Dong Xi Wang An Qin Xingjian Li P. Valduriez Dejing Dou Dianhai Yu 58 6 0 14 Jul 2022
The Privacy Onion Effect: Memorization is Relative Nicholas Carlini Matthew Jagielski Chiyuan Zhang Nicolas Papernot Andreas Terzis Florian Tramèr PILM MIACV 121 110 0 21 Jun 2022
Support Vector Machines under Adversarial Label Contamination Huang Xiao Battista Biggio B. Nelson Han Xiao Claudia Eckert Fabio Roli AAML 70 231 0 01 Jun 2022
Guided Diffusion Model for Adversarial Purification Jinyi Wang Zhaoyang Lyu Dahua Lin Bo Dai Hongfei Fu DiffM 257 89 0 30 May 2022
Diffusion Models for Adversarial Purification Weili Nie Brandon Guo Yujia Huang Chaowei Xiao Arash Vahdat Anima Anandkumar WIGM 269 450 0 16 May 2022
Detecting Backdoor Poisoning Attacks on Deep Neural Networks by Heatmap Clustering Lukas Schulth Christian Berghoff Matthias Neu AAML 56 5 0 27 Apr 2022
FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server Hong Zhang Ji Liu Juncheng Jia Yang Zhou H. Dai Dejing Dou FedML 65 45 0 25 Apr 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 413 6,916 0 13 Apr 2022
Perception Prioritized Training of Diffusion Models Jooyoung Choi Jungbeom Lee Chaehun Shin Sungwon Kim Hyunwoo J. Kim Sung-Hoon Yoon DiffM 117 251 0 01 Apr 2022
Scaling Language Model Size in Cross-Device Federated Learning Jae Hun Ro Theresa Breiner Lara McConnaughey Mingqing Chen A. Suresh Shankar Kumar Rajiv Mathews FedML 61 25 0 31 Mar 2022
A Roadmap for Big Model Sha Yuan Hanyu Zhao Shuai Zhao Jiahong Leng Yangxiao Liang ... Yang Liu Xiaodong He Minlie Huang Xiangbo Shu Jie Tang ALM AI4CE 72 16 0 26 Mar 2022
SwiftAgg: Communication-Efficient and Dropout-Resistant Secure Aggregation for Federated Learning with Worst-Case Security Guarantees Tayyebeh Jahani-Nezhad M. Maddah-ali Songze Li Giuseppe Caire FedML 68 31 0 08 Feb 2022
Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges Nuria Rodríguez-Barroso Daniel Jiménez López M. V. Luzón Francisco Herrera Eugenio Martínez-Cámara FedML 69 228 0 20 Jan 2022
SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification Ashwinee Panda Saeed Mahloujifar A. Bhagoji Supriyo Chakraborty Prateek Mittal FedML AAML 62 87 0 12 Dec 2021
Distributed Reinforcement Learning for Privacy-Preserving Dynamic Edge Caching Shengheng Liu Chong Zheng Yongming Huang Tony Q.S. Quek 50 61 0 20 Oct 2021
Improving Robustness using Generated Data Sven Gowal Sylvestre-Alvise Rebuffi Olivia Wiles Florian Stimberg D. A. Calian Timothy A. Mann 104 302 0 18 Oct 2021
Model-Agnostic Meta-Attack: Towards Reliable Evaluation of Adversarial Robustness Xiao Yang Yinpeng Dong Wenzhao Xiang Tianyu Pang Hang Su Jun Zhu AAML 53 4 0 13 Oct 2021
Privacy enabled Financial Text Classification using Differential Privacy and Federated Learning Priya Basu Tiasa Singha Roy Rakshit Naidu Zumrut Muftuoglu 68 20 0 04 Oct 2021
MixNN: Protection of Federated Learning Against Inference Attacks by Mixing Neural Network Layers A. Boutet Thomas LeBrun Jan Aalmoes Adrien Baud FedML 131 17 0 26 Sep 2021
Privacy Threats Analysis to Secure Federated Learning Yuchen Li Yifan Bao Liyao Xiang Junhan Liu Cen Chen Li Wang Xinbing Wang FedML 45 8 0 24 Jun 2021
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs Mohammad Malekzadeh Anastasia Borovykh Deniz Gündüz MIACV 64 42 0 25 May 2021
PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments Fan Mo Hamed Haddadi Kleomenis Katevas Eduard Marin Diego Perino N. Kourtellis FedML 113 247 0 29 Apr 2021
From Distributed Machine Learning to Federated Learning: A Survey Ji Liu Jizhou Huang Yang Zhou Xuhong Li Shilei Ji Haoyi Xiong Dejing Dou FedML OOD 122 259 0 29 Apr 2021
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges Mingzhe Chen Deniz Gündüz Kaibin Huang Walid Saad M. Bennis Aneta Vulgarakis Feljan H. Vincent Poor 119 416 0 05 Apr 2021
Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges Dinh C. Nguyen Ming Ding Quoc-Viet Pham P. Pathirana Long Bao Jun Seneviratne Jun Li Dusit Niyato Life Fellow Ieee Poor FedML 100 433 0 05 Apr 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 420 5,000 0 24 Feb 2021
Recent Advances in Adversarial Training for Adversarial Robustness Tao Bai Jinqi Luo Jun Zhao Bihan Wen Qian Wang AAML 164 494 0 02 Feb 2021
Dopamine: Differentially Private Federated Learning on Medical Data Mohammad Malekzadeh Burak Hasircioglu N. Mital K. Katarya M. E. Ozfatura Deniz Gündüz OOD FedML 94 51 0 27 Jan 2021
Fusion of Federated Learning and Industrial Internet of Things: A Survey S. Priya Praveen Kumar Quoc-Viet Pham Kapal Dev Reddy Maddikunta Thippa Reddy Thien Huynh-The AI4CE 64 202 0 04 Jan 2021
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown Basel Alomair Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 512 1,953 0 14 Dec 2020
Achieving Security and Privacy in Federated Learning Systems: Survey, Research Challenges and Future Directions Alberto Blanco-Justicia J. Domingo-Ferrer Sergio Martínez David Sánchez Adrian Flanagan K. E. Tan FedML 56 113 0 12 Dec 2020
Differentially Private Secure Multi-Party Computation for Federated Learning in Financial Applications David Byrd Antigoni Polychroniadou FedML 54 158 0 12 Oct 2020
Pocket Diagnosis: Secure Federated Learning against Poisoning Attack in the Cloud Zhuo Ma Jianfeng Ma Yinbin Miao Ximeng Liu K. Choo R. Deng FedML 98 33 0 23 Sep 2020
Three Variants of Differential Privacy: Lossless Conversion and Applications S. Asoodeh Jiachun Liao Flavio du Pin Calmon O. Kosut Lalitha Sankar 59 39 0 14 Aug 2020
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 247 577 0 27 Jul 2020
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective Sin Kit Lo Qinghua Lu Chen Wang Hye-Young Paik Liming Zhu FedML 119 84 0 22 Jul 2020
Byzantine-Resilient Secure Federated Learning Jinhyun So Başak Güler A. Avestimehr FedML 67 248 0 21 Jul 2020
Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning Anis Elgabli Jihong Park Chaouki Ben Issaid M. Bennis 70 55 0 03 Jul 2020
FDA3 : Federated Defense Against Adversarial Attacks for Cloud-Based IIoT Applications Yunfei Song Tian Liu Tongquan Wei Xiangfeng Wang Zhe Tao Mingsong Chen 94 49 0 28 Jun 2020
Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble Yi Zhou Xiaoqing Zheng Cho-Jui Hsieh Kai-Wei Chang Xuanjing Huang SILM 96 48 0 20 Jun 2020