Joint Privacy Enhancement and Quantization in Federated Learning

23 August 2022

Papers citing "Joint Privacy Enhancement and Quantization in Federated Learning"

25 / 25 papers shown

Title
PAUSE: Low-Latency and Privacy-Aware Active User Selection for Federated Learning Ori Peleg Natalie Lang Stefano Rini Nir Shlezinger Kobi Cohen FedML 48 0 0 17 Mar 2025
Efficient Federated Fine-Tuning of Large Language Models with Layer Dropout Shilong Wang Jianchun Liu Hongli Xu Jiaming Yan Xianjun Gao 53 1 0 13 Mar 2025
From Centralized to Decentralized Federated Learning: Theoretical Insights, Privacy Preservation, and Robustness Challenges Qiongxiu Li Wenrui Yu Yufei Xia Jun Pang FedML 50 1 0 10 Mar 2025
Remote Inference over Dynamic Links via Adaptive Rate Deep Task-Oriented Vector Quantization Eyal Fishel M. Malka Shai Ginzach Nir Shlezinger 34 0 0 07 Jan 2025
Quantized and Asynchronous Federated Learning Tomàs Ortega Hamid Jafarkhani FedML 22 0 0 30 Sep 2024
Compute-Update Federated Learning: A Lattice Coding Approach Seyed Mohammad Azimi-Abarghouyi L. Varshney FedML 30 1 0 10 Sep 2024
A survey on secure decentralized optimization and learning Changxin Liu Nicola Bastianello Wei Huo Yang Shi Karl H. Johansson 34 1 0 16 Aug 2024
Universal Exact Compression of Differentially Private Mechanisms Yanxiao Liu Wei-Ning Chen Ayfer Özgür Cheuk Ting Li 33 2 0 28 May 2024
Leakage-Resilient and Carbon-Neutral Aggregation Featuring the Federated AI-enabled Critical Infrastructure Zehang Deng Ruoxi Sun Minhui Xue Sheng Wen S. Çamtepe Surya Nepal Yang Xiang 35 1 0 24 May 2024
Stragglers-Aware Low-Latency Synchronous Federated Learning via Layer-Wise Model Updates Natalie Lang Alejandro Cohen Nir Shlezinger FedML 53 4 0 27 Mar 2024
Enhancing Privacy in Federated Learning through Local Training Nicola Bastianello Changxin Liu Karl H. Johansson 46 2 0 26 Mar 2024
Federated Learning via Lattice Joint Source-Channel Coding Seyed Mohammad Azimi-Abarghouyi L. Varshney FedML 30 4 0 01 Mar 2024
RQP-SGD: Differential Private Machine Learning through Noisy SGD and Randomized Quantization Ce Feng Parv Venkitasubramaniam 27 1 0 09 Feb 2024
Green Edge AI: A Contemporary Survey Yuyi Mao X. Yu Kaibin Huang Ying-Jun Angela Zhang Jun Zhang 28 16 0 01 Dec 2023
Compression with Exact Error Distribution for Federated Learning Mahmoud Hegazy Rémi Leluc Cheuk Ting Li Aymeric Dieuleveut FedML 6 9 0 31 Oct 2023
Federated Learning: A Cutting-Edge Survey of the Latest Advancements and Applications Azim Akhtarshenas Mohammad Ali Vahedifar Navid Ayoobi B. Maham Tohid Alizadeh Sina Ebrahimi David López-Pérez FedML 28 5 0 08 Oct 2023
Communication Efficient Private Federated Learning Using Dithering Burak Hasircioglu Deniz Gunduz FedML 32 7 0 14 Sep 2023
Communication-Efficient Laplace Mechanism for Differential Privacy via Random Quantization Ali Moradi Shahmiri Chih Wei Ling Cheuk Ting Li 9 8 0 13 Sep 2023
Compressed Private Aggregation for Scalable and Robust Federated Learning over Massive Networks Natalie Lang Nir Shlezinger Rafael G. L. DÓliveira S. E. Rouayheb FedML 65 4 0 01 Aug 2023
Survey of Federated Learning Models for Spatial-Temporal Mobility Applications Yacine Belal Sonia Ben Mokhtar Hamed Haddadi Jaron Wang A. Mashhadi FedML 33 9 0 09 May 2023
A Privacy Preserving System for Movie Recommendations Using Federated Learning David Neumann Andreas Lutz Karsten Müller Wojciech Samek 18 10 0 07 Mar 2023
Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design Chuan Guo Kamalika Chaudhuri Pierre Stock Michael G. Rabbat FedML 25 7 0 08 Nov 2022
Decentralized Low-Latency Collaborative Inference via Ensembles on the Edge M. Malka Erez Farhan Hai Morgenstern Nir Shlezinger FedML 13 12 0 07 Jun 2022
Federated Learning with Local Differential Privacy: Trade-offs between Privacy, Utility, and Communication Muah Kim Onur Gunlu Rafael F. Schaefer FedML 101 118 0 09 Feb 2021
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 157 760 0 28 Sep 2019