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Federated Learning: Strategies for Improving Communication Efficiency

18 October 2016

Dave Bacon

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

50 / 1,868 papers shown

Title
PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning Liangyan Li Yangyi Liu Yimo Ning Stefano Rini Jun Chen FedML 19 0 0 18 Jun 2025
Multi-Timescale Gradient Sliding for Distributed Optimization Junhui Zhang Patrick Jaillet 30 0 0 18 Jun 2025
A Survey on World Models Grounded in Acoustic Physical Information Xiaoliang Chen Le Chang Xin Yu Yunhe Huang Xianling Tu SyDa AI4CE 58 0 0 16 Jun 2025
Fed-HeLLo: Efficient Federated Foundation Model Fine-Tuning with Heterogeneous LoRA Allocation Zikai Zhang Ping Liu Jiahao Xu Rui Hu 39 0 0 13 Jun 2025
HASFL: Heterogeneity-aware Split Federated Learning over Edge Computing Systems Zheng Lin Zhe Chen Xianhao Chen Wei Ni Yue Gao FedML 34 0 0 10 Jun 2025
FORLA:Federated Object-centric Representation Learning with Slot Attention Guiqiu Liao M. Jogan Eric Eaton Daniel A. Hashimoto FedML 75 0 0 03 Jun 2025
The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning Shiwei Li Xiandi Luo Haozhao Wang Xing Tang Shijie Xu Weihong Luo Yuhua Li Xiuqiang He Ruixuan Li FedML 25 0 0 29 May 2025
Fairness in Federated Learning: Fairness for Whom? Afaf Taik Khaoula Chehbouni G. Farnadi FedML 59 0 0 27 May 2025
SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks Sajid Hussain Muhammad Sohail Nauman Ali Khan FedML 23 0 0 26 May 2025
LocalKMeans: Convergence of Lloyd's Algorithm with Distributed Local Iterations Harsh Vardhan Heng Zhu A. Ghosh A. Mazumdar 28 0 0 23 May 2025
From Local Patterns to Global Understanding: Cross-Stock Trend Integration for Enhanced Predictive Modeling Yi Hu Hanchi Ren Jingjing Deng Xianghua Xie AIFin FedML 46 0 0 22 May 2025
Distributionally Robust Federated Learning with Client Drift Minimization Mounssif Krouka Chaouki Ben Issaid Mehdi Bennis OOD FedML 52 0 0 21 May 2025
FLTG: Byzantine-Robust Federated Learning via Angle-Based Defense and Non-IID-Aware Weighting Yanhua Wen Lu Ai Gang Liu Chuang Li Jianhao Wei AAML 43 0 0 19 May 2025
FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Sara Alosaime Arshad Jhumka 35 0 0 19 May 2025
RIFLES: Resource-effIcient Federated LEarning via Scheduling Sara Alosaime Arshad Jhumka FedML 52 0 0 19 May 2025
Incentivize Contribution and Learn Parameters Too: Federated Learning with Strategic Data Owners Drashthi Doshi Aditya Vema Reddy Kesari Swaprava Nath Avishek Ghosh Suhas S Kowshik FedML Presented at ResearchTrend Connect \| FedML on 18 Jun 2025 128 0 0 17 May 2025
FedDuA: Doubly Adaptive Federated Learning Shokichi Takakura Seng Pei Liew Satoshi Hasegawa FedML 85 0 0 16 May 2025
A Federated Random Forest Solution for Secure Distributed Machine Learning Alexandre Cotorobai Jorge Miguel Silva Jose Luis Oliveira OOD FedML 149 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 163 1 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 112 0 0 08 May 2025
A Generalized Meta Federated Learning Framework with Theoretical Convergence Guarantees Mohammad Vahid Jamali Hamid Saber J. Bae FedML 57 0 0 30 Apr 2025
Financial Data Analysis with Robust Federated Logistic Regression Kun Yang Nikhil Krishnan Sanjeev Kulkarni FedML 104 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 155 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 213 0 0 26 Apr 2025
Efficient Split Federated Learning for Large Language Models over Communication Networks Kai Zhao Zhaohui Yang Ye Hu Mingzhe Chen Chen Zhu Zhaoyang Zhang 81 0 0 20 Apr 2025
FedEPA: Enhancing Personalization and Modality Alignment in Multimodal Federated Learning Yu Zhang Qingfeng Du Jiaqi Lv 94 0 0 16 Apr 2025
Accelerating Differentially Private Federated Learning via Adaptive Extrapolation Shokichi Takakura Seng Pei Liew Satoshi Hasegawa FedML 106 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 196 0 0 12 Apr 2025
Boosting multi-demographic federated learning for chest radiograph analysis using general-purpose self-supervised representations Mahshad Lotfinia Arash Tayebiarasteh Samaneh Samiei Mehdi Joodaki Soroosh Tayebi Arasteh 82 0 0 11 Apr 2025
Enhancing Air Quality Monitoring: A Brief Review of Federated Learning Advances Sara Yarham Mehran Behjati 73 0 0 03 Apr 2025
Approximate Agreement Algorithms for Byzantine Collaborative Learning Tijana Milentijević Mélanie Cambus Darya Melnyk Stefan Schmid FedML 148 1 0 02 Apr 2025
Client Selection in Federated Learning with Data Heterogeneity and Network Latencies Harsh Vardhan Xiaofan Yu Tajana Rosing A. Mazumdar FedML 74 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 147 1 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 93 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 120 0 0 27 Mar 2025
An Empirical Study of the Impact of Federated Learning on Machine Learning Model Accuracy Haotian Yang Ziyi Wang Benson Chou Sophie Xu Hao Wang Jingxian Wang Qizhen Zhang FedML 121 0 0 26 Mar 2025
Distributionally Robust Federated Learning: An ADMM Algorithm Wen Bai Yi Wong Xiao Qiao Chin Pang Ho FedML OOD 101 0 0 24 Mar 2025
BurTorch: Revisiting Training from First Principles by Coupling Autodiff, Math Optimization, and Systems Konstantin Burlachenko Peter Richtárik AI4CE 68 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 138 0 0 16 Mar 2025
Towards Privacy-Preserving Data-Driven Education: The Potential of Federated Learning Mohammad Khalil Ronas Shakya Qinyi Liu 77 0 0 16 Mar 2025
Layer-wise Update Aggregation with Recycling for Communication-Efficient Federated Learning Jisoo Kim Sungmin Kang Sunwoo Lee FedML 78 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 102 2 0 12 Mar 2025
Accelerated Distributed Optimization with Compression and Error Feedback Yuan Gao Anton Rodomanov Jeremy Rack Sebastian U. Stich 89 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 111 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 109 0 0 10 Mar 2025
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning Yanbiao Ma Wei-Ming Dai Wenke Huang Jiayi Chen 267 0 0 09 Mar 2025
Biased Federated Learning under Wireless Heterogeneity Muhammad Faraz Ul Abrar Nicolò Michelusi FedML 73 0 0 08 Mar 2025
Data-Free Black-Box Federated Learning via Zeroth-Order Gradient Estimation Xinge Ma Jin Wang Xuejie Zhang FedML 132 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 145 1 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 110 0 0 06 Mar 2025