Communication Efficiency in Federated Learning: Achievements and Challenges

23 July 2021

Papers citing "Communication Efficiency in Federated Learning: Achievements and Challenges"

30 / 30 papers shown

Title
Provable Reduction in Communication Rounds for Non-Smooth Convex Federated Learning Karlo Palenzuela Ali Dadras A. Yurtsever Tommy Löfstedt FedML 40 0 0 27 Mar 2025
Encoded Spatial Attribute in Multi-Tier Federated Learning Asfia Kawnine Francis Palma Seyed Alireza Rahimi Azghadi Hung Cao FedML 42 0 0 10 Jan 2025
Federated Learning with Label-Masking Distillation Jianghu Lu Shikun Li Kexin Bao Pengju Wang Zhenxing Qian Shiming Ge FedML 37 10 0 20 Sep 2024
Communication-Efficient Federated Low-Rank Update Algorithm and its Connection to Implicit Regularization Haemin Park Diego Klabjan FedML 32 0 0 19 Sep 2024
Federated Learning with Quantum Computing and Fully Homomorphic Encryption: A Novel Computing Paradigm Shift in Privacy-Preserving ML Siddhant Dutta Pavana P Karanth Pedro Maciel Xavier Iago Leal de Freitas Nouhaila Innan Sadok Ben Yahia Muhammad Shafique David E. Bernal Neira FedML 35 7 0 14 Sep 2024
CELLM: An Efficient Communication in Large Language Models Training for Federated Learning Raja Vavekanand Kira Sam 45 0 0 30 Jul 2024
SCALE: Self-regulated Clustered federAted LEarning in a Homogeneous Environment Sai Puppala Ismail Hossain Md. jahangir Alam Sajedul Talukder Zahidur Talukder Syed Bahauddin 35 3 0 25 Jul 2024
Promoting Data and Model Privacy in Federated Learning through Quantized LoRA Jianhao Zhu Changze Lv Xiaohua Wang Muling Wu Wenhao Liu Tianlong Li Zixuan Ling Cenyuan Zhang Xiaoqing Zheng Xuanjing Huang 38 2 0 16 Jun 2024
Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions Laiqiao Qin Tianqing Zhu Wanlei Zhou Philip S. Yu 40 5 0 16 Jun 2024
Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective Khiem H. Le Nhan Luong-Ha Manh Nguyen-Duc Danh Le-Phuoc Cuong D. Do Kok-Seng Wong FedML 29 1 0 30 May 2024
Feature-based Federated Transfer Learning: Communication Efficiency, Robustness and Privacy Feng Wang M. C. Gursoy Senem Velipasalar 30 0 0 15 May 2024
Navigating the Future of Federated Recommendation Systems with Foundation Models Zhiwei Li Guodong Long Chunxu Zhang Honglei Zhang Jing Jiang Chengqi Zhang 109 0 0 12 May 2024
Powering the Future of IoT: Federated Learning for Optimized Power Consumption and Enhanced Privacy Ghazaleh Shirvani Saeid Ghasemshirazi 24 0 0 05 May 2024
Measuring Data Similarity for Efficient Federated Learning: A Feasibility Study Fernanda Famá Charalampos Kalalas Sandra Lagen Paolo Dini FedML 22 3 0 12 Mar 2024
A review of federated learning in renewable energy applications: Potential, challenges, and future directions Albin Grataloup Stefan Jonas Angela Meyer 40 3 0 18 Dec 2023
Federated Learning Across Decentralized and Unshared Archives for Remote Sensing Image Classification Baris Büyüktas Gencer Sumbul Begum Demir FedML 24 5 0 10 Nov 2023
Multimodal Federated Learning in Healthcare: a Review Jacob Thrasher Alina Devkota Prasiddha Siwakotai Rohit Chivukula Pranav Poudel Chaunbo Hu Binod Bhattarai P. Gyawali 28 7 0 14 Oct 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 36 244 0 20 Jul 2023
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions Weiming Zhuang Chen Chen Lingjuan Lyu C. L. P. Chen Yaochu Jin Lingjuan Lyu AIFin AI4CE 99 85 0 27 Jun 2023
Channel and Gradient-Importance Aware Device Scheduling for Over-the-Air Federated Learning Yuchang Sun Zehong Lin Yuyi Mao Shi Jin Jinchao Zhang 46 11 0 26 May 2023
Personalized Federated Learning under Mixture of Distributions Yue Wu Shuaicheng Zhang Wenchao Yu Yanchi Liu Quanquan Gu Dawei Zhou Haifeng Chen Wei Cheng FedML 74 39 0 01 May 2023
Learning to Transmit with Provable Guarantees in Wireless Federated Learning Boning Li Jake B. Perazzone A. Swami Santiago Segarra 16 4 0 18 Apr 2023
Federated Learning and Meta Learning: Approaches, Applications, and Directions Xiaonan Liu Yansha Deng Arumugam Nallanathan M. Bennis 46 32 0 24 Oct 2022
Faster federated optimization under second-order similarity Ahmed Khaled Chi Jin FedML 50 17 0 06 Sep 2022
ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity Xinchi Qiu Javier Fernandez-Marques Pedro Gusmão Yan Gao Titouan Parcollet Nicholas D. Lane FedML 39 66 0 04 Aug 2022
Towards Efficient Communications in Federated Learning: A Contemporary Survey Zihao Zhao Yuzhu Mao Yang Liu Linqi Song Ouyang Ye Xinlei Chen Wenbo Ding FedML 51 59 0 02 Aug 2022
Adaptive Differential Filters for Fast and Communication-Efficient Federated Learning Daniel Becking H. Kirchhoffer G. Tech Paul Haase Karsten Müller H. Schwarz Wojciech Samek FedML 16 4 0 09 Apr 2022
OLIVE: Oblivious Federated Learning on Trusted Execution Environment against the risk of sparsification Fumiyuki Kato Yang Cao Masatoshi Yoshikawa FedML 19 5 0 15 Feb 2022
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 193 434 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 162 760 0 28 Sep 2019