Communication-Efficient Learning of Deep Networks from Decentralized Data

17 February 2016

Blaise Agüera y Arcas

FedML

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

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Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off Yuecheng Li Lele Fu Tong Wang Jian Lou Bin Chen Lei Yang Zibin Zheng Zibin Zheng Chuan Chen FedML 70 4 0 10 Feb 2024
Decentralized Proactive Model Offloading and Resource Allocation for Split and Federated Learning Binbin Huang Hailiang Zhao Lingbin Wang Wenzhuo Qian Yuyu Yin Shuiguang Deng 39 0 0 09 Feb 2024
Flashback: Understanding and Mitigating Forgetting in Federated Learning Mohammed Aljahdali A. Abdelmoniem Marco Canini Samuel Horváth 42 3 0 08 Feb 2024
Version age-based client scheduling policy for federated learning Xinyi Hu Nikolaos Pappas Howard H. Yang 46 3 0 08 Feb 2024
Towards Fair, Robust and Efficient Client Contribution Evaluation in Federated Learning Meiying Zhang Huan Zhao Sheldon C Ebron Kan Yang FedML 16 2 0 06 Feb 2024
Fed-CVLC: Compressing Federated Learning Communications with Variable-Length Codes Xiaoxin Su Yipeng Zhou Laizhong Cui John C. S. Lui Jiangchuan Liu FedML 44 1 0 06 Feb 2024
Analysis of Linear Mode Connectivity via Permutation-Based Weight Matching: With Insights into Other Permutation Search Methods Akira Ito Masanori Yamada Atsutoshi Kumagai MoMe 67 5 0 06 Feb 2024
Federated Learning Priorities Under the European Union Artificial Intelligence Act Herbert Woisetschläger Alexander Erben Bill Marino Shiqiang Wang Nicholas D. Lane R. Mayer Hans-Arno Jacobsen 33 15 0 05 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 36 16 0 02 Feb 2024
Logit Poisoning Attack in Distillation-based Federated Learning and its Countermeasures Yonghao Yu Shunan Zhu Jinglu Hu AAML FedML 39 0 0 31 Jan 2024
Rendering Wireless Environments Useful for Gradient Estimators: A Zero-Order Stochastic Federated Learning Method Elissa Mhanna Mohamad Assaad 60 1 0 30 Jan 2024
Cross-silo Federated Learning with Record-level Personalized Differential Privacy Junxu Liu Jian Lou Li Xiong Jinfei Liu Xiaofeng Meng 48 6 0 29 Jan 2024
Spectral Co-Distillation for Personalized Federated Learning Zihan Chen Howard H. Yang Tony Q.S. Quek Kai Fong Ernest Chong OOD FedML 42 13 0 29 Jan 2024
EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control Xiaocheng Li Si-ren Liu Zimu Zhou Bin Guo Yuan Xu Zhiwen Yu 40 0 0 29 Jan 2024
Stitching Satellites to the Edge: Pervasive and Efficient Federated LEO Satellite Learning Mohamed Elmahallawy Tie-Mei Luo 40 3 0 28 Jan 2024
Communication-Efficient Federated Learning through Adaptive Weight Clustering and Server-Side Distillation Vasileios Tsouvalas Aaqib Saeed T. Ozcelebi N. Meratnia FedML 45 7 0 25 Jan 2024
Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing Modality Huy Q. Le Chu Myaet Thwal Yu Qiao Ye Lin Tun Minh N. H. Nguyen Choong Seon Hong Choong Seon Hong 70 5 0 25 Jan 2024
Faster Convergence with Less Communication: Broadcast-Based Subgraph Sampling for Decentralized Learning over Wireless Networks Daniel Pérez Herrera Zheng Chen Erik G. Larsson 44 1 0 24 Jan 2024
Privacy-Preserving Data Fusion for Traffic State Estimation: A Vertical Federated Learning Approach Qiqing Wang Kaidi Yang FedML 47 8 0 22 Jan 2024
FedGTA: Topology-aware Averaging for Federated Graph Learning Xunkai Li Zhengyu Wu Wentao Zhang Yinlin Zhu Ronghua Li Guoren Wang FedML 39 17 0 22 Jan 2024
Transformers with Attentive Federated Aggregation for Time Series Stock Forecasting Chu Myaet Thwal Ye Lin Tun Kitae Kim Seong-Bae Park Choong Seon Hong AI4TS AIFin 38 5 0 22 Jan 2024
LW-FedSSL: Resource-efficient Layer-wise Federated Self-supervised Learning Ye Lin Tun Chu Myaet Thwal Le Quang Huy Minh N. H. Nguyen Choong Seon Hong FedML 42 2 0 22 Jan 2024
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning Chu Myaet Thwal Minh N. H. Nguyen Ye Lin Tun Seongjin Kim My T. Thai Choong Seon Hong 67 5 0 22 Jan 2024
Communication-Efficient Personalized Federated Learning for Speech-to-Text Tasks Yichao Du Zhirui Zhang Linan Yue Xu Huang Yuqing Zhang Tong Xu Linli Xu Enhong Chen FedML 75 5 0 18 Jan 2024
Personalized Federated Learning of Probabilistic Models: A PAC-Bayesian Approach Mahrokh Ghoddousi Boroujeni Andreas Krause Giancarlo Ferrari-Trecate FedML 39 3 0 16 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 39 4 0 15 Jan 2024
Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models Yae Jee Cho Luyang Liu Zheng Xu Aldi Fahrezi Gauri Joshi 40 47 0 12 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
Correlated Quantization for Faster Nonconvex Distributed Optimization Andrei Panferov Yury Demidovich Ahmad Rammal Peter Richtárik MQ 49 4 0 10 Jan 2024
Strategic Client Selection to Address Non-IIDness in HAPS-enabled FL Networks A. Farajzadeh Animesh Yadav H. Yanikomeroglu 35 0 0 10 Jan 2024
GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learning Syed Irfan Ali Meerza Luyang Liu Jiaxin Zhang Jian-Dong Liu FedML 36 2 0 07 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
A review on different techniques used to combat the non-IID and heterogeneous nature of data in FL Iyer Venkataraman Natarajan 36 8 0 01 Jan 2024
Federated Continual Learning via Knowledge Fusion: A Survey Xin Yang Hao Yu Xin Gao Hao Wang Junbo Zhang Tianrui Li FedML 41 33 0 27 Dec 2023
Harnessing the Power of Federated Learning in Federated Contextual Bandits Chengshuai Shi Ruida Zhou Kun Yang Cong Shen FedML 33 0 0 26 Dec 2023
Efficient Conformal Prediction under Data Heterogeneity Vincent Plassier Nikita Kotelevskii Aleksandr Rubashevskii Fedor Noskov Maksim Velikanov Alexander Fishkov Samuel Horváth Martin Takáč Eric Moulines Maxim Panov 46 1 0 25 Dec 2023
Robustness, Efficiency, or Privacy: Pick Two in Machine Learning Youssef Allouah R. Guerraoui John Stephan OOD 31 2 0 22 Dec 2023
Sparse Training for Federated Learning with Regularized Error Correction Ran Greidi Kobi Cohen FedML 37 1 0 21 Dec 2023
Peer-to-Peer Learning + Consensus with Non-IID Data Srinivasa Pranav José M. F. Moura 34 3 0 21 Dec 2023
Transparency and Privacy: The Role of Explainable AI and Federated Learning in Financial Fraud Detection Tomisin Awosika R. Shukla Bernardi Pranggono 32 35 0 20 Dec 2023
Federated Learning with Extremely Noisy Clients via Negative Distillation Yang Lu Lin Chen Yonggang Zhang Yiliang Zhang Bo Han Yiu-ming Cheung Hanzi Wang FedML 38 9 0 20 Dec 2023
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels Jichang Li Guanbin Li Hui Cheng Zicheng Liao Yizhou Yu FedML 35 15 0 19 Dec 2023
MISA: Unveiling the Vulnerabilities in Split Federated Learning Wei Wan Yuxuan Ning Shengshan Hu Lulu Xue Minghui Li Leo Yu Zhang Hai Jin 16 3 0 18 Dec 2023
Federated learning with differential privacy and an untrusted aggregator Kunlong Liu Trinabh Gupta 55 0 0 17 Dec 2023
Value of Information and Timing-aware Scheduling for Federated Learning Muhammad Azeem Khan Howard H. Yang Zihan Chen Antonio Iera Nikolaos Pappas 43 3 0 16 Dec 2023
On Mask-based Image Set Desensitization with Recognition Support Qilong Li Ji Liu Yifan Sun Chongsheng Zhang Dejing Dou CVBM 33 3 0 14 Dec 2023
Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx Trung-Hieu Hoang Jordan D. Fuhrman Ravi K. Madduri Miao Li Pranshu Chaturvedi ... Kibaek Kim Minseok Ryu Ryan Chard Eliu A. Huerta Maryellen L. Giger 44 5 0 14 Dec 2023
CLIP-guided Federated Learning on Heterogeneous and Long-Tailed Data Jiangming Shi Shanshan Zheng Xiangbo Yin Yang Lu Yuan Xie Yanyun Qu VLM FedML 57 10 0 14 Dec 2023
Topology-Dependent Privacy Bound For Decentralized Federated Learning Qiongxiu Li Wenrui Yu Changlong Ji Richard Heusdens 37 3 0 13 Dec 2023
Layered Randomized Quantization for Communication-Efficient and Privacy-Preserving Distributed Learning Guangfeng Yan Tan Li Tian-Shing Lan Kui Wu Linqi Song 29 6 0 12 Dec 2023