Pocket Diagnosis: Secure Federated Learning against Poisoning Attack in the Cloud

23 September 2020

Papers citing "Pocket Diagnosis: Secure Federated Learning against Poisoning Attack in the Cloud"

7 / 7 papers shown

Title
Trustworthy Federated Learning: Privacy, Security, and Beyond Chunlu Chen Ji Liu Haowen Tan Xingjian Li Kevin I-Kai Wang Peng Li Kouichi Sakurai Dejing Dou FedML 52 4 0 03 Nov 2024
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions A. Rauniyar D. Hagos Debesh Jha J. E. Haakegaard Ulas Bagci D. Rawat Vladimir Vlassov OOD 43 90 0 05 Aug 2022
The Dichotomy of Cloud and IoT: Cloud-Assisted IoT From a Security Perspective B. Zolfaghari Abbas Yazdinejad Ali Dehghantanha Jacob Krzciok Khodakhast Bibak 6 18 0 04 Jul 2022
Unsupervised Recurrent Federated Learning for Edge Popularity Prediction in Privacy-Preserving Mobile Edge Computing Networks Chong Zheng Shengheng Liu Yongming Huang Wei Zhang Luxi Yang 12 20 0 02 Jul 2022
Privacy-Preserving Cloud Computing: Ecosystem, Life Cycle, Layered Architecture and Future Roadmap Saeed Ahmadi Maliheh Salehfar 32 5 0 23 Apr 2022
Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions Thippa Reddy Gadekallu Viet Quoc Pham Thien Huynh-The S. Bhattacharya Praveen Kumar Reddy Maddikunta Madhusanka Liyanage FedML AI4CE 50 39 0 08 Oct 2021
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 191 1,032 0 29 Nov 2018