Federated Learning: Strategies for Improving Communication Efficiency

18 October 2016

Dave Bacon

Papers citing "Federated Learning: Strategies for Improving Communication Efficiency"

50 / 1,848 papers shown

Title
Federated Unlearning for Human Activity Recognition Kongyang Chen Dongping Zhang Yaping Chai Weibin Zhang Shaowei Wang Jiaxing Shen MU 29 24 0 17 Jan 2024
A GAN-based data poisoning framework against anomaly detection in vertical federated learning Xiaolin Chen Daoguang Zan Wei Li Bei Guan Yongji Wang FedML AAML 17 3 0 17 Jan 2024
Security and Privacy Issues and Solutions in Federated Learning for Digital Healthcare Hyejun Jeong Tai-Myung Chung FedML 27 1 0 16 Jan 2024
Optimal Data Splitting in Distributed Optimization for Machine Learning Daniil Medyakov Gleb Molodtsov Aleksandr Beznosikov Alexander Gasnikov 25 1 0 15 Jan 2024
Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation Yun-Wei Chu Dong-Jun Han Christopher G. Brinton 28 4 0 15 Jan 2024
The Effects of Data Imbalance Under a Federated Learning Approach for Credit Risk Forecasting Shuyao Zhang Jordan Tay Pedro Baiz FedML 35 1 0 14 Jan 2024
Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning Zhangchen Xu Fengqing Jiang Luyao Niu Jinyuan Jia Radha Poovendran 26 0 0 10 Jan 2024
Efficient Fine-Tuning with Domain Adaptation for Privacy-Preserving Vision Transformer Teru Nagamori Sayaka Shiota Hitoshi Kiya 24 1 0 10 Jan 2024
Towards Efficient Communication and Secure Federated Recommendation System via Low-rank Training Ngoc-Hieu Nguyen Tuan Nguyen Tuan Nguyen Vu Tien Hoang Dung D. Le Kok-Seng Wong FedML 25 7 0 08 Jan 2024
Distributed client selection with multi-objective in federated learning assisted Internet of Vehicles Narisu Cha Long Chang 30 0 0 06 Jan 2024
FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning Jian Li Yong Liu Wei Wang Haoran Wu Weiping Wang FedML 27 2 0 05 Jan 2024
Facebook Report on Privacy of fNIRS data Md. Imran Hossen Sai Venkatesh Chilukoti Liqun Shan Vijay Srinivas Tida X. Hei 33 0 0 01 Jan 2024
Differentially Private Low-Rank Adaptation of Large Language Model Using Federated Learning Xiao-Yang Liu Rongyi Zhu Daochen Zha Jiechao Gao Shan Zhong Matt White Meikang Qiu 26 15 0 29 Dec 2023
A Theoretical Analysis of Efficiency Constrained Utility-Privacy Bi-Objective Optimization in Federated Learning Hanlin Gu Xinyuan Zhao Gongxi Zhu Yuxing Han Yan Kang Lixin Fan Qiang Yang FedML 21 1 0 27 Dec 2023
Federated Hyperdimensional Computing Kazim Ergun Rishikanth Chandrasekaran Tajana Simunic FedML 17 0 0 26 Dec 2023
W4-Groups: Modeling the Who, What, When and Where of Group Behavior via Mobility Sensing Akanksha Atrey Camellia Zakaria Rajesh Balan Prashant J. Shenoy 24 0 0 22 Dec 2023
Federated Learning with Projected Trajectory Regularization Tiejin Chen Yuanpu Cao Yujia Wang Cho-Jui Hsieh Jinghui Chen FedML 21 0 0 22 Dec 2023
Real-time Neural Network Inference on Extremely Weak Devices: Agile Offloading with Explainable AI Kai Huang Wei Gao 20 35 0 21 Dec 2023
Enhancing Neural Training via a Correlated Dynamics Model Jonathan Brokman Roy Betser Rotem Turjeman Tom Berkov I. Cohen Guy Gilboa 24 3 0 20 Dec 2023
Social Learning: Towards Collaborative Learning with Large Language Models Amirkeivan Mohtashami Florian Hartmann Sian Gooding Lukás Zilka Matt Sharifi Blaise Agüera y Arcas 8 10 0 18 Dec 2023
Value of Information and Timing-aware Scheduling for Federated Learning Muhammad Azeem Khan Howard H. Yang Zihan Chen Antonio Iera Nikolaos Pappas 15 3 0 16 Dec 2023
Greedy Shapley Client Selection for Communication-Efficient Federated Learning Pranava Singhal Shashi Raj Pandey P. Popovski FedML 23 4 0 14 Dec 2023
Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Survey Yichen Wan Youyang Qu Wei Ni Yong Xiang Longxiang Gao Ekram Hossain AAML 52 33 0 14 Dec 2023
Beyond Gradient and Priors in Privacy Attacks: Leveraging Pooler Layer Inputs of Language Models in Federated Learning Jianwei Li Sheng Liu Qi Lei PILM SILM AAML 30 4 0 10 Dec 2023
FLoW3 -- Web3 Empowered Federated Learning Venkata Raghava Kurada Pallava Kumar Baruah 14 1 0 09 Dec 2023
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights Maryam Ben Driss Essaid Sabir H. Elbiaze Walid Saad 30 7 0 07 Dec 2023
FreqFed: A Frequency Analysis-Based Approach for Mitigating Poisoning Attacks in Federated Learning Hossein Fereidooni Alessandro Pegoraro Phillip Rieger Alexandra Dmitrienko Ahmad-Reza Sadeghi AAML 23 12 0 07 Dec 2023
Who Leaked the Model? Tracking IP Infringers in Accountable Federated Learning Shuyang Yu Junyuan Hong Yi Zeng Fei Wang Ruoxi Jia Jiayu Zhou FedML 32 9 0 06 Dec 2023
Privacy-Aware Data Acquisition under Data Similarity in Regression Markets Shashi Raj Pandey Pierre Pinson P. Popovski 40 0 0 05 Dec 2023
Exploring the Robustness of Decentralized Training for Large Language Models Lin Lu Chenxi Dai Wangcheng Tao Binhang Yuan Yanan Sun Pan Zhou 34 1 0 01 Dec 2023
VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular Federated Learning Luca Ballotta Nicolò Dal Fabbro Giovanni Perin Luca Schenato Michele Rossi Giuseppe Piro 47 1 0 30 Nov 2023
Federated Fine-Tuning of Foundation Models via Probabilistic Masking Vasileios Tsouvalas Yuki M. Asano Aaqib Saeed FedML 84 3 0 29 Nov 2023
Edge AI for Internet of Energy: Challenges and Perspectives Yassine Himeur A. Sayed A. Alsalemi F. Bensaali Abbes Amira 57 26 0 28 Nov 2023
Contrastive encoder pre-training-based clustered federated learning for heterogeneous data Ye Lin Tun Minh N. H. Nguyen Chu Myaet Thwal J. Choi Choong Seon Hong FedML 29 13 0 28 Nov 2023
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective Xianghua Xie Chen Hu Hanchi Ren Jingjing Deng FedML AAML 47 19 0 27 Nov 2023
Scheduling and Communication Schemes for Decentralized Federated Learning Bahaa-Elden A. Abdelghany M. Fernández-Veiga Ana Fernández Vilas Nashwa El-Bendary A. Hassan W. Abdelmoez FedML 13 1 0 27 Nov 2023
Evaluating Multi-Global Server Architecture for Federated Learning Asfia Kawnine Hung Cao Atah Nuh Mih Monica Wachowicz 16 0 0 26 Nov 2023
Eliminating Domain Bias for Federated Learning in Representation Space Jianqing Zhang Yang Hua Jian Cao Hao Wang Tao Song Zhengui Xue Ruhui Ma Haibing Guan FedML 76 33 0 25 Nov 2023
FedHCA $^2$ : Towards Hetero-Client Federated Multi-Task Learning Yuxiang Lu Suizhi Huang Yuwen Yang Shalayiding Sirejiding Yue Ding Hongtao Lu FedML 50 3 0 22 Nov 2023
FBChain: A Blockchain-based Federated Learning Model with Efficiency and Secure Communication Yang Li Chunhe Xia Wei Liu 40 0 0 21 Nov 2023
PACOL: Poisoning Attacks Against Continual Learners Huayu Li G. Ditzler AAML 22 2 0 18 Nov 2023
FedDiff: Diffusion Model Driven Federated Learning for Multi-Modal and Multi-Clients Daixun Li Weiying Xie Zixuan Wang YiBing Lu Yunsong Li Leyuan Fang FedML DiffM 43 18 0 16 Nov 2023
FedCode: Communication-Efficient Federated Learning via Transferring Codebooks Saeed Khalilian Gourtani Vasileios Tsouvalas T. Ozcelebi N. Meratnia FedML 33 5 0 15 Nov 2023
Scalable Federated Learning for Clients with Different Input Image Sizes and Numbers of Output Categories Shuhei Nitta Taiji Suzuki Albert Rodríguez Mulet A. Yaguchi Ryusuke Hirai FedML 17 0 0 15 Nov 2023
A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks Sara Babakniya Zalan Fabian Chaoyang He Mahdi Soltanolkotabi Salman Avestimehr FedML CLL 26 29 0 13 Nov 2023
EvoFed: Leveraging Evolutionary Strategies for Communication-Efficient Federated Learning Mohammad Mahdi Rahimi Hasnain Irshad Bhatti Younghyun Park Humaira Kousar Jaekyun Moon FedML 40 7 0 13 Nov 2023
A Federated Data Fusion-Based Prognostic Model for Applications with Multi-Stream Incomplete Signals Madi Arabi Xiaolei Fang FedML 21 0 0 13 Nov 2023
Personalized Online Federated Learning with Multiple Kernels P. M. Ghari Yanning Shen 49 13 0 09 Nov 2023
Cross-Silo Federated Learning Across Divergent Domains with Iterative Parameter Alignment Matt Gorbett Hossein Shirazi Indrakshi Ray FedML 36 2 0 08 Nov 2023
Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks Su Wang Roberto Morabito Seyyedali Hosseinalipour Mung Chiang Christopher G. Brinton FedML 29 7 0 07 Nov 2023