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Communication-Efficient Learning of Deep Networks from Decentralized Data

17 February 2016

Blaise Agüera y Arcas

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Papers citing "Communication-Efficient Learning of Deep Networks from Decentralized Data"

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Title
Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information Ömer Faruk Akgül Rajgopal Kannan Viktor Prasanna FedML 122 0 0 17 Oct 2024
DPFedBank: Crafting a Privacy-Preserving Federated Learning Framework for Financial Institutions with Policy Pillars Peilin He Chenkai Lin Isabella Montoya 56 0 0 17 Oct 2024
Towards Satellite Non-IID Imagery: A Spectral Clustering-Assisted Federated Learning Approach Luyao Zou Yu Min Park Chu Myaet Thwal Y. Tun Zhu Han Choong Seon Hong 57 0 0 17 Oct 2024
Ornstein-Uhlenbeck Adaptation as a Mechanism for Learning in Brains and Machines Jesus Garcia Fernandez Nasir Ahmad Marcel van Gerven 64 1 0 17 Oct 2024
Cyber Attacks Prevention Towards Prosumer-based EV Charging Stations: An Edge-assisted Federated Prototype Knowledge Distillation Approach Luyao Zou Quang Hieu Vo Kitae Kim Huy Q. Le Chu Myaet Thwal Chaoning Zhang Choong Seon Hong 79 1 0 17 Oct 2024
Federated scientific machine learning for approximating functions and solving differential equations with data heterogeneity Handi Zhang Langchen Liu Lu Lu FedML 96 1 0 17 Oct 2024
On-device Federated Learning in Smartphones for Detecting Depression from Reddit Posts Mustofa Ahmed Abdul Muntakim Nawrin Tabassum Mohammad Asifur Rahim Faisal Muhammad Shah FedML 98 1 0 17 Oct 2024
FedCAP: Robust Federated Learning via Customized Aggregation and Personalization Youpeng Li Xiang Wang Fuxun Yu Lichao Sun Wenbin Zhang Xuyu Wang FedML 354 0 0 16 Oct 2024
FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning Evelyn Ma Chao Pan Rasoul Etesami Han Zhao Olgica Milenković FedML AAML 79 0 0 16 Oct 2024
LoRA Soups: Merging LoRAs for Practical Skill Composition Tasks Akshara Prabhakar Yuanzhi Li Karthik Narasimhan Sham Kakade Eran Malach Samy Jelassi MoMe 106 19 0 16 Oct 2024
DEeR: Deviation Eliminating and Noise Regulating for Privacy-preserving Federated Low-rank Adaptation Meilu Zhu Axiu Mao Jun Liu Yixuan Yuan 103 3 0 16 Oct 2024
Vaccinating Federated Learning for Robust Modulation Classification in Distributed Wireless Networks Hunmin Lee Hongju Seong Wonbin Kim Hyeokchan Kwon Daehee Seo 55 0 0 16 Oct 2024
FusionLLM: A Decentralized LLM Training System on Geo-distributed GPUs with Adaptive Compression Zhenheng Tang Xueze Kang Yiming Yin Xinglin Pan Yuxin Wang ... Shaohuai Shi Amelie Chi Zhou Bo Li Bingsheng He Xiaowen Chu AI4CE 109 8 0 16 Oct 2024
TPFL: A Trustworthy Personalized Federated Learning Framework via Subjective Logic Jinqian Chen Jihua Zhu 143 0 0 16 Oct 2024
SANSee: A Physical-layer Semantic-aware Networking Framework for Distributed Wireless Sensing Huixiang Zhu Yong Xiao Yingyu Li Guangming Shi Marwan Krunz 141 1 0 16 Oct 2024
Boosting Asynchronous Decentralized Learning with Model Fragmentation Sayan Biswas Anne-Marie Kermarrec Alexis Marouani Rafael Pires Rishi Sharma M. Vos 105 2 0 16 Oct 2024
Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models Sajjad Ghiasvand Yifan Yang Zhiyu Xue Mahnoosh Alizadeh Zheng Zhang Ramtin Pedarsani FedML 177 5 0 16 Oct 2024
Age-of-Gradient Updates for Federated Learning over Random Access Channels Yu Heng Wu Houman Asgari Stefano Rini Andrea Munari FedML 58 1 0 15 Oct 2024
Why Go Full? Elevating Federated Learning Through Partial Network Updates Haolin Wang Xuefeng Liu Jianwei Niu Wenkai Guo Shaojie Tang FedML 86 1 0 15 Oct 2024
FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection Xinting Liao Weiming Liu Pengyang Zhou Fengyuan Yu Jiahe Xu Jun Wang Wenjie Wang Chaochao Chen Xiaolin Zheng FedML OODD 114 5 0 15 Oct 2024
FedCCRL: Federated Domain Generalization with Cross-Client Representation Learning Xinpeng Wang Xiaoying Tang Xiaoying Tang FedML 105 3 0 15 Oct 2024
Adversarially Guided Stateful Defense Against Backdoor Attacks in Federated Deep Learning Hassan Ali Surya Nepal S. Kanhere S. Jha AAML FedML 67 2 0 15 Oct 2024
Data Quality Control in Federated Instruction-tuning of Large Language Models Yaxin Du Guangyi Liu Fengting Yuchi W. Zhao Jingjing Qu Yanjie Wang Siheng Chen ALM FedML 129 2 0 15 Oct 2024
Federated Data-Efficient Instruction Tuning for Large Language Models Zhen Qin Zhaomin Wu Bingsheng He Shuiguang Deng FedML 118 2 0 14 Oct 2024
Fed-pilot: Optimizing LoRA Allocation for Efficient Federated Fine-Tuning with Heterogeneous Clients Zikai Zhang Jiahao Xu Ping Liu Rui Hu 61 5 0 14 Oct 2024
Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models Jun Luo Chong Chen Shandong Wu FedML VLM MoE 139 6 0 14 Oct 2024
Efficient Federated Unlearning under Plausible Deniability Ayush K. Varshney V. Torra MU 116 4 0 13 Oct 2024
FedECADO: A Dynamical System Model of Federated Learning Aayushya Agarwal Gauri Joshi L. Pileggi FedML 55 0 0 13 Oct 2024
Retrieval Instead of Fine-tuning: A Retrieval-based Parameter Ensemble for Zero-shot Learning Pengfei Jin Peng Shu Sekeun Kim Qing Xiao S. Song Cheng Chen Tianming Liu Xiang Li Quanzheng Li 107 1 0 13 Oct 2024
Breaking the Memory Wall for Heterogeneous Federated Learning via Model Splitting Chunlin Tian Li Li Kahou Tam Yebo Wu Chengzhong Xu FedML 68 3 0 12 Oct 2024
A New Perspective to Boost Performance Fairness for Medical Federated Learning Yunlu Yan Lei Zhu Yuexiang Li Xinxing Xu Rick Siow Mong Goh Yong Liu Salman Khan Chun-Mei Feng FedML OOD 72 0 0 12 Oct 2024
CollabEdit: Towards Non-destructive Collaborative Knowledge Editing Jiamu Zheng Jinghuai Zhang Tianyu Du Xuhong Zhang Jianwei Yin Tao Lin KELM 267 0 0 12 Oct 2024
Enhanced Federated Anomaly Detection Through Autoencoders Using Summary Statistics-Based Thresholding Sofiane Laridi Gregory Palmer Kam-Ming Mark Tam FedML 56 3 0 11 Oct 2024
Evaluating Federated Kolmogorov-Arnold Networks on Non-IID Data Arthur Mendonça Sasse Claudio Miceli de Farias 75 4 0 11 Oct 2024
Gradients Stand-in for Defending Deep Leakage in Federated Learning H. Yi H. Ren C. Hu Y. Li J. Deng Xin Xie FedML 54 0 0 11 Oct 2024
Training on Fake Labels: Mitigating Label Leakage in Split Learning via Secure Dimension Transformation Yukun Jiang Peiran Wang Chengguo Lin Ziyue Huang Yong Cheng 66 0 0 11 Oct 2024
Edge AI Collaborative Learning: Bayesian Approaches to Uncertainty Estimation Gleb I. Radchenko Victoria Andrea Fill 63 0 0 11 Oct 2024
A Theoretical Framework for AI-driven data quality monitoring in high-volume data environments Nikhil Bangad Vivekananda Jayaram Manjunatha Sughaturu Krishnappa Amey Ram Banarse Darshan Mohan Bidkar Akshay Nagpal Vidyasagar Parlapalli 50 2 0 11 Oct 2024
Unity is Power: Semi-Asynchronous Collaborative Training of Large-Scale Models with Structured Pruning in Resource-Limited Clients Yan Li Mingyi Li Xiao Zhang Guangwei Xu Feng Chen Yuan Yuan Yifei Zou Mengying Zhao Jianbo Lu Dongxiao Yu 67 0 0 11 Oct 2024
Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees Xin Yu Zelin He Ying Sun Lingzhou Xue Runze Li FedML 153 0 0 11 Oct 2024
Federated Learning in Practice: Reflections and Projections Katharine Daly Hubert Eichner Peter Kairouz H. B. McMahan Daniel Ramage Zheng Xu FedML 94 10 0 11 Oct 2024
A Comprehensive Survey on Joint Resource Allocation Strategies in Federated Edge Learning Jingbo Zhang Qiong Wu Pingyi Fan Nan Cheng FedML 75 0 0 10 Oct 2024
Federated Graph Learning for Cross-Domain Recommendation Ziqi Yang Zhaopeng Peng Zihui Wang Jianzhong Qi Chaochao Chen Weike Pan Chenglu Wen Cheng-Yu Wang Xiaoliang Fan FedML 101 2 0 10 Oct 2024
Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning Jingyuan Zhang Yiyang Duan Shuaicheng Niu Yang Cao Wei Yang Bryan Lim 61 2 0 10 Oct 2024
FedEP: Tailoring Attention to Heterogeneous Data Distribution with Entropy Pooling for Decentralized Federated Learning Chao Feng Hongjie Guan Alberto Huertas Celdrán Jan von der Assen Gérome Bovet Burkhard Stiller FedML 122 1 0 10 Oct 2024
Scalable and Resource-Efficient Second-Order Federated Learning via Over-the-Air Aggregation Abdulmomen Ghalkha Chaouki Ben Issaid Mehdi Bennis 94 0 0 10 Oct 2024
Federated Learning for Data Market: Shapley-UCB for Seller Selection and Incentives Kongyang Chen Zeming Xu FedML 36 0 0 10 Oct 2024
Distributionally Robust Clustered Federated Learning: A Case Study in Healthcare Xenia Konti Hans Riess Manos Giannopoulos Yi Shen Michael J. Pencina Nicoleta J. Economou-Zavlanos Michael M. Zavlanos FedML OOD 61 1 0 09 Oct 2024
Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning Zhilong Li Xiaohu Wu Xiaoli Tang Tiantian He Yew-Soon Ong Mengmeng Chen Qiqi Liu Qicheng Lao Han Yu FedML 90 2 0 09 Oct 2024
Boosting the Performance of Decentralized Federated Learning via Catalyst Acceleration Qinglun Li Miao Zhang Yingqi Liu Quanjun Yin Li Shen Xiaochun Cao FedML 101 0 0 09 Oct 2024