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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Title
Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey Mansoor Ali F. Naeem M. Tariq Georges Kaddoum 37 120 0 18 Mar 2022
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation Kai Zhang Yu Wang Hongyi Wang Lifu Huang Carl Yang Xun Chen Lichao Sun FedML 30 33 0 17 Mar 2022
Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning Lin Zhang Li Shen Liang Ding Dacheng Tao Ling-Yu Duan FedML 51 257 0 17 Mar 2022
Sniper Backdoor: Single Client Targeted Backdoor Attack in Federated Learning Gorka Abad Servio Paguada Oguzhan Ersoy S. Picek Víctor Julio Ramírez-Durán A. Urbieta FedML 36 6 0 16 Mar 2022
MPAF: Model Poisoning Attacks to Federated Learning based on Fake Clients Xiaoyu Cao Neil Zhenqiang Gong 31 109 0 16 Mar 2022
Semi-FedSER: Semi-supervised Learning for Speech Emotion Recognition On Federated Learning using Multiview Pseudo-Labeling Tiantian Feng Shrikanth Narayanan 43 18 0 15 Mar 2022
Training a Tokenizer for Free with Private Federated Learning Eugene Bagdasaryan Congzheng Song Rogier van Dalen M. Seigel Áine Cahill FedML 34 5 0 15 Mar 2022
Privatized Graph Federated Learning Elsa Rizk Stefan Vlaski Ali H. Sayed FedML 35 4 0 14 Mar 2022
Reasoning over Public and Private Data in Retrieval-Based Systems Simran Arora Patrick Lewis Angela Fan Jacob Kahn Christopher Ré 35 23 0 14 Mar 2022
Communication-Efficient Federated Distillation with Active Data Sampling Lumin Liu Jun Zhang Shenghui Song Khaled B. Letaief FedML 47 25 0 14 Mar 2022
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation Pengfei Guo Dong Yang Ali Hatamizadeh An Xu Ziyue Xu ... F. Patella Elvira Stellato G. Carrafiello Vishal M. Patel H. Roth OOD FedML 46 32 0 12 Mar 2022
Deep Class Incremental Learning from Decentralized Data Xiaohan Zhang Songlin Dong Jinjie Chen Qiaoling Tian Yihong Gong Xiaopeng Hong CLL 43 11 0 11 Mar 2022
No Free Lunch Theorem for Security and Utility in Federated Learning Xiaojin Zhang Hanlin Gu Lixin Fan Kai Chen Qiang Yang FedML 31 64 0 11 Mar 2022
Federated Remote Physiological Measurement with Imperfect Data Xin Liu Mingchuan Zhang Ziheng Jiang Shwetak N. Patel Daniel J. McDuff 40 12 0 11 Mar 2022
A Contribution-based Device Selection Scheme in Federated Learning Shashi Raj Pandey L. Nguyen P. Popovski FedML 51 19 0 10 Mar 2022
Similarity-based Label Inference Attack against Training and Inference of Split Learning Junlin Liu Xinchen Lyu Qimei Cui Xiaofeng Tao FedML 46 26 0 10 Mar 2022
A Systematic Literature Review on Blockchain Enabled Federated Learning Framework for Internet of Vehicles M. Billah S. T. Mehedi A. Anwar Ziaur Rahman R. Islam 37 26 0 10 Mar 2022
Correlated quantization for distributed mean estimation and optimization A. Suresh Ziteng Sun Jae Hun Ro Felix X. Yu 44 12 0 09 Mar 2022
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms Pranay Sharma Rohan Panda Gauri Joshi P. Varshney FedML 29 48 0 09 Mar 2022
Update Compression for Deep Neural Networks on the Edge Bo Chen A. Bakhshi Gustavo E. A. P. A. Batista Brian Ng Tat-Jun Chin 36 17 0 09 Mar 2022
LSTMSPLIT: Effective SPLIT Learning based LSTM on Sequential Time-Series Data Lianlian Jiang Yuexuan Wang Wenyi Zheng Chao Jin Zengxiang Li Sin Gee Teo AI4TS 54 10 0 08 Mar 2022
Acceleration of Federated Learning with Alleviated Forgetting in Local Training Chencheng Xu Zhiwei Hong Minlie Huang Tao Jiang FedML 47 46 0 05 Mar 2022
Differentially Private Label Protection in Split Learning Xin Yang Jiankai Sun Yuanshun Yao Junyuan Xie Chong-Jun Wang FedML 57 36 0 04 Mar 2022
Label Leakage and Protection from Forward Embedding in Vertical Federated Learning Jiankai Sun Xin Yang Yuanshun Yao Chong-Jun Wang FedML 62 37 0 02 Mar 2022
UAV-Aided Decentralized Learning over Mesh Networks Matteo Zecchin David Gesbert Marios Kountouris 49 1 0 02 Mar 2022
Computational Code-Based Privacy in Coded Federated Learning M. Xhemrishi Alexandre Graell i Amat E. Rosnes Antonia Wachter-Zeh FedML 45 4 0 28 Feb 2022
FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving Lidia Fantauzzo Eros Fani Debora Caldarola A. Tavera Fabio Cermelli Marco Ciccone Barbara Caputo FedML 41 52 0 28 Feb 2022
Asynchronous Decentralized Federated Learning for Collaborative Fault Diagnosis of PV Stations Qi Liu Bo-Jun Yang Zhaojian Wang Dafeng Zhu Xinyi Wang Kai Ma Xinping Guan 49 38 0 28 Feb 2022
Graph-Assisted Communication-Efficient Ensemble Federated Learning P. M. Ghari Yanning Shen FedML 32 4 0 27 Feb 2022
Partitioned Variational Inference: A Framework for Probabilistic Federated Learning Matthew Ashman T. Bui Cuong V Nguyen Efstratios Markou Adrian Weller S. Swaroop Richard Turner FedML 26 12 0 24 Feb 2022
Robust Federated Learning with Connectivity Failures: A Semi-Decentralized Framework with Collaborative Relaying M. Yemini R. Saha Emre Ozfatura Deniz Gündüz Andrea J. Goldsmith FedML 65 8 0 24 Feb 2022
Sky Computing: Accelerating Geo-distributed Computing in Federated Learning Jie Zhu Shenggui Li Yang You FedML 21 5 0 24 Feb 2022
Towards Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search Chunhui Zhang Xiaoming Yuan Qianyun Zhang Guangxu Zhu Lei Cheng Ning Zhang FedML OOD 44 15 0 23 Feb 2022
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization Jaehong Yoon Geondo Park Wonyong Jeong Sung Ju Hwang FedML 36 19 0 23 Feb 2022
FedCAT: Towards Accurate Federated Learning via Device Concatenation Ming Hu Tian Liu Zhiwei Ling Zhihao Yue Mingsong Chen FedML 29 1 0 23 Feb 2022
Privacy Leakage of Adversarial Training Models in Federated Learning Systems Jingyang Zhang Yiran Chen Hai Helen Li FedML PICV 53 15 0 21 Feb 2022
Personalized Federated Learning with Exact Stochastic Gradient Descent Sotirios Nikoloutsopoulos I. Koutsopoulos Michalis K. Titsias FedML 40 9 0 20 Feb 2022
Provably Private Distributed Averaging Consensus: An Information-Theoretic Approach Mohammad Fereydounian Aryan Mokhtari Ramtin Pedarsani Hamed Hassani FedML 35 2 0 18 Feb 2022
PerFED-GAN: Personalized Federated Learning via Generative Adversarial Networks Xingjian Cao Gang Sun Hongfang Yu Mohsen Guizani FedML 40 56 0 18 Feb 2022
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning Chuan Ma Jun Li Kang Wei Bo Liu Ming Ding Long Yuan Zhu Han H. Vincent Poor 64 43 0 18 Feb 2022
Incentive Mechanism Design for Joint Resource Allocation in Blockchain-based Federated Learning Zhilin Wang Qin Hu Ruinian Li Minghui Xu Zehui Xiong FedML 73 52 0 18 Feb 2022
FLAME: Federated Learning Across Multi-device Environments Hyunsung Cho Akhil Mathur F. Kawsar 21 21 0 17 Feb 2022
LAMP: Extracting Text from Gradients with Language Model Priors Mislav Balunović Dimitar I. Dimitrov Nikola Jovanović Martin Vechev 34 59 0 17 Feb 2022
Time-Correlated Sparsification for Efficient Over-the-Air Model Aggregation in Wireless Federated Learning Yuxuan Sun Sheng Zhou Z. Niu Deniz Gündüz 16 21 0 17 Feb 2022
Single-shot Hyper-parameter Optimization for Federated Learning: A General Algorithm & Analysis Yi Zhou Parikshit Ram Theodoros Salonidis Nathalie Baracaldo Horst Samulowitz Heiko Ludwig FedML 26 6 0 16 Feb 2022
Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive Streams S. Denisov H. B. McMahan J. Rush Adam D. Smith Abhradeep Thakurta FedML 62 61 0 16 Feb 2022
Evaluation and Analysis of Different Aggregation and Hyperparameter Selection Methods for Federated Brain Tumor Segmentation Ece Isik Polat Gorkem Polat Altan Koçyiğit A. Temi̇zel OOD FedML 27 3 0 16 Feb 2022
Architecture Agnostic Federated Learning for Neural Networks Disha Makhija Xing Han Nhat Ho Joydeep Ghosh FedML 32 41 0 15 Feb 2022
Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning Yawen Wu Dewen Zeng Zhepeng Wang Yi Sheng Lei Yang A. James Yiyu Shi Jingtong Hu FedML 27 31 0 14 Feb 2022
On the Convergence of Clustered Federated Learning Ma Jie Guodong Long Dinesh Manocha Jing Jiang Chengqi Zhang FedML 44 46 0 13 Feb 2022