Aggregation Service for Federated Learning: An Efficient, Secure, and
More Resilient Realization

Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization

4 February 2022

Papers citing "Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization"

12 / 12 papers shown

Title
Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Yiwei Zhang R. Behnia A. Yavuz Reza Ebrahimi E. Bertino FedML 53 0 0 09 May 2025
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey Jing Liu Yao Du Kun Yang Yan Wang Xiping Hu Zehua Wang Yang Liu Peng Sun Azzedine Boukerche Victor C.M. Leung 45 0 0 03 May 2025
Ten Challenging Problems in Federated Foundation Models Tao Fan Hanlin Gu Xuemei Cao Chee Seng Chan Qian Chen ... Yu Zhang Xiaojin Zhang Zhenzhe Zheng Lixin Fan Qiang Yang FedML 89 4 0 14 Feb 2025
Entropy-driven Fair and Effective Federated Learning Lung-Chuang Wang Zhichao Wang Sai Praneeth Karimireddy Xiaoying Tang Xiaoying Tang FedML 40 9 0 29 Jan 2023
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Yangqiu Song Jian Pei 47 104 0 16 May 2022
Adversarial Analysis of the Differentially-Private Federated Learning in Cyber-Physical Critical Infrastructures Md Tamjid Hossain S. Badsha Hung M. La Haoting Shen Shafkat Islam Ibrahim Khalil X. Yi AAML 32 3 0 06 Apr 2022
Privacy-preserving Anomaly Detection in Cloud Manufacturing via Federated Transformer Shiyao Ma Jiangtian Nie Jiawen Kang Lingjuan Lyu R. W. Liu Ruihui Zhao Ziyao Liu Dusit Niyato FedML 20 20 0 02 Apr 2022
FedPOIRec: Privacy Preserving Federated POI Recommendation with Social Influence V. Perifanis George Drosatos Giorgos Stamatelatos P. Efraimidis 27 57 0 21 Dec 2021
Can Differential Privacy Practically Protect Collaborative Deep Learning Inference for the Internet of Things? Jihyeon Ryu Yifeng Zheng Yansong Gao A. Abuadbba Junyaup Kim Dongho Won Surya Nepal Hyoungshick Kim Cong Wang 26 12 0 08 Apr 2021
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 176 764 0 28 Sep 2019
CrypTFlow: Secure TensorFlow Inference Nishant Kumar Mayank Rathee Nishanth Chandran Divya Gupta Aseem Rastogi Rahul Sharma 101 236 0 16 Sep 2019
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware Florian Tramèr Dan Boneh FedML 114 395 0 08 Jun 2018