A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency

20 July 2023

Jiawei Shao

Wenqiang Sun

Papers citing "A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency"

27 / 27 papers shown

Title
A Federated Online Restless Bandit Framework for Cooperative Resource Allocation Jingwen Tong Xinran Li Liqun Fu Jun Zhang Khaled B. Letaief 40 1 0 12 Jun 2024
WirelessLLM: Empowering Large Language Models Towards Wireless Intelligence Jiawei Shao Jingwen Tong Qiong Wu Wei Guo Zijian Li Zehong Lin Jun Zhang 34 25 0 27 May 2024
A Systematic Review of Federated Generative Models Ashkan Vedadi Gargary Emiliano De Cristofaro AI4CE 36 2 0 26 May 2024
Federated Learning for Blind Image Super-Resolution Brian B. Moser Ahmed Anwar Federico Raue Stanislav Frolov Andreas Dengel 44 2 0 26 Apr 2024
Federated Prompt-based Decision Transformer for Customized VR Services in Mobile Edge Computing System Tailin Zhou Jiadong Yu Jun Zhang Danny H. K. Tsang 16 1 0 15 Feb 2024
An Empirical Study on Large Language Models in Accuracy and Robustness under Chinese Industrial Scenarios Zongjie Li Wenying Qiu Pingchuan Ma Yichen Li You Li Sijia He Baozheng Jiang Shuai Wang Weixi Gu 24 2 0 27 Jan 2024
Feature Norm Regularized Federated Learning: Transforming Skewed Distributions into Global Insights Ke Hu Weidong Qiu Peng Tang 30 0 0 12 Dec 2023
Toward the Tradeoffs between Privacy, Fairness and Utility in Federated Learning Kangkang Sun Xiaojin Zhang Xi Lin Gaolei Li Jing Wang Jianhua Li 33 4 0 30 Nov 2023
Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark Wenke Huang Mang Ye Zekun Shi Guancheng Wan He Li Bo Du Qiang Yang FedML OOD 68 76 0 12 Nov 2023
Mode Connectivity and Data Heterogeneity of Federated Learning Tailin Zhou Jun Zhang Danny H. K. Tsang FedML 24 3 0 29 Sep 2023
FedCiR: Client-Invariant Representation Learning for Federated Non-IID Features Zijian Li Zehong Lin Jiawei Shao Yuyi Mao Jun Zhang OOD 27 10 0 30 Aug 2023
Feature Matching Data Synthesis for Non-IID Federated Learning Zijian Li Yuchang Sun Jiawei Shao Yuyi Mao Jessie Hui Wang Jun Zhang 26 20 0 09 Aug 2023
Understanding and Improving Model Averaging in Federated Learning on Heterogeneous Data Tailin Zhou Zehong Lin Jinchao Zhang Danny H. K. Tsang MoMe FedML 32 12 0 13 May 2023
Exploring One-shot Semi-supervised Federated Learning with A Pre-trained Diffusion Model Min Yang Shangchao Su Bin Li Xiangyang Xue DiffM 19 29 0 06 May 2023
Selective Knowledge Sharing for Privacy-Preserving Federated Distillation without A Good Teacher Jiawei Shao Fangzhao Wu Jun Zhang FedML 24 26 0 04 Apr 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4 Sébastien Bubeck Varun Chandrasekaran Ronen Eldan J. Gehrke Eric Horvitz ... Scott M. Lundberg Harsha Nori Hamid Palangi Marco Tulio Ribeiro Yi Zhang ELM AI4MH AI4CE ALM 289 3,003 0 22 Mar 2023
FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data Tailin Zhou Jun Zhang Danny H. K. Tsang FedML 20 57 0 17 Nov 2022
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing Jiawei Shao Yuchang Sun Songze Li Jun Zhang OOD 27 37 0 06 Oct 2022
IDEAL: Query-Efficient Data-Free Learning from Black-box Models Jie M. Zhang Chen Chen Lingjuan Lyu 55 14 0 23 May 2022
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 152 349 0 25 Sep 2021
FedProto: Federated Prototype Learning across Heterogeneous Clients Yue Tan Guodong Long Lu Liu Tianyi Zhou Qinghua Lu Jing Jiang Chengqi Zhang FedML 153 459 0 01 May 2021
Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data Yuchang Sun Jiawei Shao Yuyi Mao Jessie Hui Wang Jun Zhang FedML 26 39 0 26 Apr 2021
FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia Longling Zhang Bochen Shen A. Barnawi Shan Xi Neeraj Kumar Yi Wu FedML MedIm 71 80 0 26 Apr 2021
Federated Learning with Local Differential Privacy: Trade-offs between Privacy, Utility, and Communication Muah Kim Onur Gunlu Rafael F. Schaefer FedML 110 118 0 09 Feb 2021
Systematic Evaluation of Privacy Risks of Machine Learning Models Liwei Song Prateek Mittal MIACV 196 358 0 24 Mar 2020
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 199 434 0 04 Mar 2020
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 171 760 0 28 Sep 2019