DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning

31 October 2021

Papers citing "DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning"

33 / 33 papers shown

Title
Sparsification Under Siege: Defending Against Poisoning Attacks in Communication-Efficient Federated Learning Zhiyong Jin Runhua Xu C. Li Y. Liu Jianxin Li AAML FedML 32 0 0 30 Apr 2025
FedX: Adaptive Model Decomposition and Quantization for IoT Federated Learning Phung Lai Xiaopeng Jiang Hai Phan Cristian Borcea K. Tran An M. Chen Vijaya Datta Mayyuri Ruoming Jin FedML MQ 55 0 0 17 Apr 2025
Characterizing the Accuracy-Communication-Privacy Trade-off in Distributed Stochastic Convex Optimization Sudeep Salgia Nikola Pavlovic Yuejie Chi Qing Zhao 33 0 0 06 Jan 2025
Accelerating Energy-Efficient Federated Learning in Cell-Free Networks with Adaptive Quantization Afsaneh Mahmoudi Ming Xiao Emil Björnson 46 0 0 31 Dec 2024
Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks Afsaneh Mahmoudi Emil Björnson 67 1 0 14 Dec 2024
Personalized Federated Learning for Generative AI-Assisted Semantic Communications Yubo Peng Feibo Jiang Li Dong Kezhi Wang Kun Yang 25 2 0 03 Oct 2024
Masked Random Noise for Communication Efficient Federaetd Learning Shiwei Li Yingyi Cheng Haozhao Wang Xing Tang Shijie Xu Weihong Luo Yuhua Li Dugang Liu Xiuqiang He and Ruixuan Li FedML 22 1 0 06 Aug 2024
FedBAT: Communication-Efficient Federated Learning via Learnable Binarization Shiwei Li Wenchao Xu Haozhao Wang Xing Tang Yining Qi Shijie Xu Weihong Luo Yuhua Li Xiuqiang He Ruixuan Li FedML 25 2 0 06 Aug 2024
FedDM: Enhancing Communication Efficiency and Handling Data Heterogeneity in Federated Diffusion Models Jayneel Vora Nader Bouacida Aditya Krishnan Prasant Mohapatra FedML 28 1 0 20 Jul 2024
Distributed Deep Reinforcement Learning Based Gradient Quantization for Federated Learning Enabled Vehicle Edge Computing Cui Zhang Wenjun Zhang Qiong Wu Pingyi Fan Qiang Fan Jiangzhou Wang Khaled B. Letaief 22 27 0 11 Jul 2024
Towards Federated Learning with On-device Training and Communication in 8-bit Floating Point Bokun Wang Axel Berg D. A. E. Acar Chuteng Zhou FedML MQ 22 0 0 02 Jul 2024
Communication-Efficient Federated Knowledge Graph Embedding with Entity-Wise Top-K Sparsification Xiaoxiong Zhang Zhiwei Zeng Xin Zhou Dusit Niyato Zhiqi Shen FedML 22 1 0 19 Jun 2024
Privacy-Aware Randomized Quantization via Linear Programming Zhongteng Cai Xueru Zhang Mohammad Mahdi Khalili 30 2 0 01 Jun 2024
Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization Zhe Li Bicheng Ying Zidong Liu Haibo Yang Haibo Yang FedML 54 3 0 24 May 2024
SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data Sakshi Choudhary Sai Aparna Aketi Kaushik Roy FedML 37 0 0 22 May 2024
DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptation Jie Xu Karthikeyan P. Saravanan Rogier van Dalen Haaris Mehmood David Tuckey Mete Ozay 56 5 0 10 May 2024
SignSGD with Federated Voting Chanho Park H. Vincent Poor Namyoon Lee FedML 30 1 0 25 Mar 2024
Energy-Efficient Wireless Federated Learning via Doubly Adaptive Quantization Xu Han Wen Chen Jun Li Ming Ding Qing-Bin Wu Kang Wei Xiumei Deng Zhen Mei MQ 24 1 0 20 Feb 2024
Fed-CVLC: Compressing Federated Learning Communications with Variable-Length Codes Xiaoxin Su Yipeng Zhou Laizhong Cui John C. S. Lui Jiangchuan Liu FedML 12 1 0 06 Feb 2024
Mixed-Precision Quantization for Federated Learning on Resource-Constrained Heterogeneous Devices Huancheng Chen H. Vikalo FedML MQ 9 2 0 29 Nov 2023
FedCode: Communication-Efficient Federated Learning via Transferring Codebooks Saeed Khalilian Gourtani Vasileios Tsouvalas T. Ozcelebi N. Meratnia FedML 24 5 0 15 Nov 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 23 4 0 08 Oct 2023
AQUILA: Communication Efficient Federated Learning with Adaptive Quantization in Device Selection Strategy Zihao Zhao Yuzhu Mao Zhenpeng Shi Yang Liu Tian-Shing Lan Wenbo Ding Xiaoping Zhang 11 9 0 01 Aug 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 17 242 0 20 Jul 2023
Dynamic Stashing Quantization for Efficient Transformer Training Guofu Yang Daniel Lo Robert D. Mullins Yiren Zhao MQ 26 7 0 09 Mar 2023
A Communication-Efficient Adaptive Algorithm for Federated Learning under Cumulative Regret Sudeep Salgia Qing Zhao T. Gabay Kobi Cohen FedML 17 10 0 21 Jan 2023
Network Adaptive Federated Learning: Congestion and Lossy Compression Parikshit Hegde G. Veciana Aryan Mokhtari FedML 11 4 0 11 Jan 2023
ResFed: Communication Efficient Federated Learning by Transmitting Deep Compressed Residuals Rui Song Liguo Zhou Lingjuan Lyu Andreas Festag Alois C. Knoll FedML 11 5 0 11 Dec 2022
Distributed Linear Bandits under Communication Constraints Sudeep Salgia Qing Zhao 24 7 0 04 Nov 2022
Adaptive Compression for Communication-Efficient Distributed Training Maksim Makarenko Elnur Gasanov Rustem Islamov Abdurakhmon Sadiev Peter Richtárik 10 12 0 31 Oct 2022
Communication-Efficient {Federated} Learning Using Censored Heavy Ball Descent Yicheng Chen Rick S. Blum Brian M. Sadler FedML 9 4 0 24 Sep 2022
Rapid Model Architecture Adaption for Meta-Learning Yiren Zhao Xitong Gao Ilia Shumailov Nicolò Fusi Robert D. Mullins 25 4 0 10 Sep 2021
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 157 756 0 28 Sep 2019