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
A Federated Random Forest Solution for Secure Distributed Machine Learning Alexandre Cotorobai Jorge Miguel Silva Jose Luis Oliveira OOD FedML 27 0 0 12 May 2025
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence Yu Qiao Huy Q. Le Avi Deb Raha Phuong-Nam Tran Apurba Adhikary Mengchun Zhang Loc X. Nguyen Eui-nam Huh Dusit Niyato Choong Seon Hong AI4CE 31 0 0 11 May 2025
Federated Learning for Cyber Physical Systems: A Comprehensive Survey Minh K. Quan P. Pathirana M. Wijayasundara S. Setunge Dinh C. Nguyen Christopher G. Brinton David J. Love H. Vincent Poor AI4CE 51 0 0 08 May 2025
A Generalized Meta Federated Learning Framework with Theoretical Convergence Guarantees Mohammad Vahid Jamali Hamid Saber J. Bae FedML 39 0 0 30 Apr 2025
Financial Data Analysis with Robust Federated Logistic Regression Kun Yang Nikhil Krishnan Sanjeev Kulkarni FedML 67 0 0 28 Apr 2025
Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Qianren Mao Qili Zhang Hanwen Hao Zhentao Han Runhua Xu ... Jing Chen Yangqiu Song Jin Dong Jianxin Li Philip S. Yu 71 1 0 27 Apr 2025
UnifyFL: Enabling Decentralized Cross-Silo Federated Learning Sarang S Druva Dhakshinamoorthy Aditya Shiva Sharma Yuvraj Singh Bhadauria Siddharth Chaitra Vivek Arihant Bansal Arnab K. Paul FedML 34 0 0 26 Apr 2025
Efficient Federated Split Learning for Large Language Models over Communication Networks Kai Zhao Zhaohui Yang 37 0 0 20 Apr 2025
FedEPA: Enhancing Personalization and Modality Alignment in Multimodal Federated Learning Yu Zhang Qingfeng Du Jiaqi Lv 31 0 0 16 Apr 2025
Accelerating Differentially Private Federated Learning via Adaptive Extrapolation Shokichi Takakura Seng Pei Liew Satoshi Hasegawa FedML 35 0 0 14 Apr 2025
Query-based Knowledge Transfer for Heterogeneous Learning Environments Norah Alballa Wenxuan Zhang Ziquan Liu A. Abdelmoniem Mohamed Elhoseiny Marco Canini 38 0 0 12 Apr 2025
Boosting multi-demographic federated learning for chest x-ray analysis using general-purpose self-supervised representations Mahshad Lotfinia Arash Tayebiarasteh Samaneh Samiei Mehdi Joodaki Soroosh Tayebi Arasteh 32 0 0 11 Apr 2025
Enhancing Air Quality Monitoring: A Brief Review of Federated Learning Advances Sara Yarham Mehran Behjati 27 0 0 03 Apr 2025
Approximate Agreement Algorithms for Byzantine Collaborative Learning Tijana Milentijević Mélanie Cambus Darya Melnyk Stefan Schmid FedML 49 0 0 02 Apr 2025
Client Selection in Federated Learning with Data Heterogeneity and Network Latencies Harsh Vardhan Xiaofan Yu Tajana Rosing A. Mazumdar FedML 39 0 0 02 Apr 2025
Communication-Efficient and Personalized Federated Foundation Model Fine-Tuning via Tri-Matrix Adaptation Yongqian Li Bo Liu Sheng Huang Zhe Zhang Xiaotong Yuan Richang Hong 46 0 0 31 Mar 2025
Federated Learning with Differential Privacy: An Utility-Enhanced Approach Kanishka Ranaweera Dinh C. Nguyen P. Pathirana David B. Smith Ming Ding Thierry Rakotoarivelo A. Seneviratne FedML 47 0 0 27 Mar 2025
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
An Empirical Study of the Impact of Federated Learning on Machine Learning Model Accuracy Haotian Yang Zhilin Wang Benson Chou Sophie Xu Hao Wang Jingxian Wang Qizhen Zhang FedML 93 0 0 26 Mar 2025
Distributionally Robust Federated Learning: An ADMM Algorithm Wen Bai Yi Wong Xiao Qiao Chin Pang Ho FedML OOD 66 0 0 24 Mar 2025
BurTorch: Revisiting Training from First Principles by Coupling Autodiff, Math Optimization, and Systems Konstantin Burlachenko Peter Richtárik AI4CE 46 0 0 18 Mar 2025
FedGAI: Federated Style Learning with Cloud-Edge Collaboration for Generative AI in Fashion Design Mingzhu Wu Jianan Jiang Xinglin Li Hanhui Deng Di Wu FedML 50 0 0 16 Mar 2025
Towards Privacy-Preserving Data-Driven Education: The Potential of Federated Learning Mohammad Khalil Ronas Shakya Qinyi Liu 36 0 0 16 Mar 2025
Layer-wise Update Aggregation with Recycling for Communication-Efficient Federated Learning Jisoo Kim Sungmin Kang Sunwoo Lee FedML 49 0 0 14 Mar 2025
A Comprehensive Review on Understanding the Decentralized and Collaborative Approach in Machine Learning S. Saif Md Jahirul Islam Md. Zihad Bin Jahangir Parag Biswas Abdur Rashid Md Abdullah Al Nasim Kishor Datta Gupta 58 0 0 12 Mar 2025
Accelerated Distributed Optimization with Compression and Error Feedback Yuan Gao Anton Rodomanov Jeremy Rack Sebastian U. Stich 49 0 0 11 Mar 2025
Scaling Probabilistic Circuits via Data Partitioning Jonas Seng Florian Peter Busch P. Prasad Devendra Singh Dhami Martin Mundt Kristian Kersting TPM FedML 78 0 0 11 Mar 2025
Federated Multimodal Learning with Dual Adapters and Selective Pruning for Communication and Computational Efficiency Duy Phuong Nguyen J. P. Muñoz Tanya Roosta Ali Jannesari FedML 67 0 0 10 Mar 2025
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning Yanbiao Ma Wei-Ming Dai Wenke Huang Jiayi Chen 102 0 0 09 Mar 2025
Data-Free Black-Box Federated Learning via Zeroth-Order Gradient Estimation Xinge Ma Jin Wang Xuejie Zhang FedML 73 0 0 08 Mar 2025
Biased Federated Learning under Wireless Heterogeneity Muhammad Faraz Ul Abrar Nicolò Michelusi FedML 44 0 0 08 Mar 2025
Fundamental Limits of Hierarchical Secure Aggregation with Cyclic User Association Xiang Zhang Zhou Li Kai Wan Hua Sun Mingyue Ji Giuseppe Caire 68 0 0 06 Mar 2025
Privacy Preserving and Robust Aggregation for Cross-Silo Federated Learning in Non-IID Settings Marco Arazzi Mert Cihangiroglu Antonino Nocera FedML 78 0 0 06 Mar 2025
WarmFed: Federated Learning with Warm-Start for Globalization and Personalization Via Personalized Diffusion Models Tao Feng Jie Zhang Xiangjian Li Rong Huang Huashan Liu Zhijie Wang FedML 62 0 0 05 Mar 2025
PriFFT: Privacy-preserving Federated Fine-tuning of Large Language Models via Hybrid Secret Sharing Zhichao You Xuewen Dong Ke Cheng Xutong Mu Jiaxuan Fu Shiyang Ma Qiang Qu Yulong Shen FedML 84 0 0 05 Mar 2025
Leveraging Randomness in Model and Data Partitioning for Privacy Amplification Andy Dong Wei-Ning Chen Ayfer Özgür FedML 59 1 0 04 Mar 2025
AugFL: Augmenting Federated Learning with Pretrained Models Sheng Yue Zerui Qin Yongheng Deng Ju Ren Yaoxue Zhang Junshan Zhang FedML 85 0 0 04 Mar 2025
Privacy-preserving Machine Learning in Internet of Vehicle Applications: Fundamentals, Recent Advances, and Future Direction Nazmul Islam Mohammad Zulkernine 45 0 0 03 Mar 2025
Communication-Efficient Device Scheduling for Federated Learning Using Lyapunov Optimization Jake B. Perazzone Shiqiang Wang Mingyue Ji Kevin S. Chan FedML 75 0 0 01 Mar 2025
Personalized Federated Learning for Egocentric Video Gaze Estimation with Comprehensive Parameter Frezzing Yuhu Feng Keisuke Maeda Takahiro Ogawa Miki Haseyama FedML EgoV 67 0 0 25 Feb 2025
A Survey of Zero-Knowledge Proof Based Verifiable Machine Learning Zhizhi Peng Taotao Wang Chonghe Zhao Guofu Liao Zibin Lin Y. Liu Bin Cao Long Shi Qing Yang Shengli Zhang 59 2 0 25 Feb 2025
SMTFL: Secure Model Training to Untrusted Participants in Federated Learning Zhihui Zhao Xiaorong Dong Yimo Ren Jianhua Wang Dan Yu Hongsong Zhu Yongle Chen 82 0 0 24 Feb 2025
Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning Raghav Singhal Kaustubh Ponkshe Rohit Vartak Lav R. Varshney Praneeth Vepakomma FedML 79 0 0 24 Feb 2025
Smoothed Normalization for Efficient Distributed Private Optimization Egor Shulgin Sarit Khirirat Peter Richtárik FedML 87 0 0 20 Feb 2025
Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning Runhua Xu Shiqi Gao Chao Li J. Joshi Jianxin Li 45 2 0 08 Feb 2025
Decoding FL Defenses: Systemization, Pitfalls, and Remedies M. A. Khan Virat Shejwalkar Yasra Chandio Amir Houmansadr Fatima M. Anwar AAML 38 0 0 03 Feb 2025
ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning A. Maranjyan El Mehdi Saad Peter Richtárik Francesco Orabona 57 0 0 02 Feb 2025
Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion Binchi Zhang Zaiyi Zheng Zhengzhang Chen Wenlin Yao 61 0 0 01 Feb 2025
Advancing Personalized Federated Learning: Integrative Approaches with AI for Enhanced Privacy and Customization Kevin Cooper Michael Geller 93 0 0 30 Jan 2025
Ringmaster ASGD: The First Asynchronous SGD with Optimal Time Complexity A. Maranjyan A. Tyurin Peter Richtárik 39 2 0 28 Jan 2025