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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
MARINA-P: Superior Performance in Non-smooth Federated Optimization with Adaptive Stepsizes Igor Sokolov Peter Richtárik 156 1 0 22 Dec 2024
Efficient Data Labeling and Optimal Device Scheduling in HWNs Using Clustered Federated Semi-Supervised Learning Moqbel Hamood A. Albaseer M. Abdallah Ala I. Al-Fuqaha 159 0 0 22 Dec 2024
Data value estimation on private gradients Zijian Zhou Xinyi Xu Daniela Rus Bryan Kian Hsiang Low 129 0 0 22 Dec 2024
FedCross: Intertemporal Federated Learning Under Evolutionary Games Jianfeng Lu Ying Zhang Riheng Jia Shuqin Cao Jing Liu Hao Fu FedML 125 0 0 22 Dec 2024
FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Siddharth Ambekar Yuhang Yao Ryan Li Carlee Joe-Wong FedML 158 0 0 20 Dec 2024
The Impact of Cut Layer Selection in Split Federated Learning Justin Dachille Chao Huang Xin Liu FedML 168 0 0 20 Dec 2024
Non-Uniform Parameter-Wise Model Merging Albert Manuel Orozco Camacho Stefan Horoi Guy Wolf Eugene Belilovsky MoMe FedML 147 0 0 20 Dec 2024
FedRLHF: A Convergence-Guaranteed Federated Framework for Privacy-Preserving and Personalized RLHF Flint Xiaofeng Fan Cheston Tan Yew-Soon Ong Roger Wattenhofer Wei Tsang Ooi 177 1 0 20 Dec 2024
Federated Learning for Coronary Artery Plaque Detection in Atherosclerosis Using IVUS Imaging: A Multi-Hospital Collaboration Chiu-Han Hsiao Kai Chen Tsung-Yu Peng Wei-Chieh Huang 87 2 0 19 Dec 2024
LoLaFL: Low-Latency Federated Learning via Forward-only Propagation Jierui Zhang Jianhao Huang Kaibin Huang 131 0 0 19 Dec 2024
Fed-AugMix: Balancing Privacy and Utility via Data Augmentation HaoYang Li Wei Chen Xiaojin Zhang FedML 113 0 0 18 Dec 2024
Federated Source-free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data Junki Mori Kosuke Kihara Taiki Miyagawa Akinori F. Ebihara Isamu Teranishi Hisashi Kashima 188 1 0 18 Dec 2024
Clio: Privacy-Preserving Insights into Real-World AI Use Alex Tamkin Miles McCain Kunal Handa Esin Durmus Liane Lovitt ... Wes Mitchell Shan Carter Jack Clark Jared Kaplan Deep Ganguli 164 21 0 18 Dec 2024
SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning Xinyang Liu Pengchao Han Xuan Li Bo Liu 90 1 0 18 Dec 2024
Privacy-Preserving Cyberattack Detection in Blockchain-Based IoT Systems Using AI and Homomorphic Encryption Bui Duc Manh Chi-Hieu Nguyen D. Hoang Diep N. Nguyen M. Zeng Quoc-Viet Pham 106 4 0 18 Dec 2024
Federated Unlearning Model Recovery in Data with Skewed Label Distributions Xinrui Yu Wenbin Pei Bing Xue Qiang Zhang FedML MU 129 1 0 18 Dec 2024
Efficiently Achieving Secure Model Training and Secure Aggregation to Ensure Bidirectional Privacy-Preservation in Federated Learning Xue Yang Depan Peng Yan Feng Xiaohu Tang Weijun Fang Jun Shao FedML 111 0 0 16 Dec 2024
Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning Dipanwita Thakur Antonella Guzzo Giancarlo Fortino Sajal K. Das FedML 129 2 0 16 Dec 2024
A comprehensive GeoAI review: Progress, Challenges and Outlooks Anasse Boutayeb Iyad Lahsen-cherif Ahmed El Khadimi 109 0 0 16 Dec 2024
Vertical Federated Unlearning via Backdoor Certification Mengde Han Tianqing Zhu Lefeng Zhang Huan Huo Wanlei Zhou FedML MU 153 4 0 16 Dec 2024
FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning Minjun Kim Minjee Kim Jinhoon Jeong FedML MedIm OOD 137 0 0 16 Dec 2024
TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning Gangqiang Hu Jianfeng Lu Jianmin Han Shuqin Cao Jing Liu Hao Fu 139 0 0 16 Dec 2024
Modeling Inter-Intra Heterogeneity for Graph Federated Learning Wentao Yu Shuo Chen Yongxin Tong Tianlong Gu Chen Gong FedML 95 1 0 16 Dec 2024
Federated Domain Generalization with Label Smoothing and Balanced Decentralized Training Milad Soltany Farhad Pourpanah Mahdiyar Molahasani Michael A. Greenspan Ali Etemad FedML 177 2 0 16 Dec 2024
ProFe: Communication-Efficient Decentralized Federated Learning via Distillation and Prototypes Pedro Miguel Sánchez Sánchez Enrique Tomás Martínez Beltrán Miguel Fernández Llamas Gérome Bovet Gregorio Martínez Pérez Alberto Huertas Celdrán FedML 114 0 0 15 Dec 2024
Predicting Survival of Hemodialysis Patients using Federated Learning Abhiram Raju Praneeth Vepakomma FedML 102 0 0 14 Dec 2024
Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regression Junliang Lyu Yixuan Zhang Xiaoling Lu Feng Zhou FedML 142 1 0 14 Dec 2024
Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks Afsaneh Mahmoudi Emil Björnson 170 1 0 14 Dec 2024
ExclaveFL: Providing Transparency to Federated Learning using Exclaves Jinnan Guo Kapil Vaswani Andrew Paverd Peter R. Pietzuch FedML 119 0 0 13 Dec 2024
MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Parsa Ghazvinian Robert Podschwadt Prajwal Panzade Mohammad H. Rafiei Daniel Takabi 111 0 0 10 Dec 2024
Evaluating the Potential of Federated Learning for Maize Leaf Disease Prediction Thalita Mendonça Antico Larissa F. Rodrigues Moreira Rodrigo Moreira 153 28 0 10 Dec 2024
Optimizing Personalized Federated Learning through Adaptive Layer-Wise Learning Weihang Chen Jie Ren Zhiqiang Li Ling Gao Zehao Wang AI4CE 237 0 0 10 Dec 2024
Tazza: Shuffling Neural Network Parameters for Secure and Private Federated Learning Kichang Lee Jaeho Jin JaeYeon Park Jeonggil Ko JeongGil Ko FedML 174 0 0 10 Dec 2024
A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications Francesco Cremonesi Lucia Innocenti Sebastien Ourselin Vicky Goh Michela Antonelli Marco Lorenzi FedML 167 0 0 09 Dec 2024
Membership Inference Attacks and Defenses in Federated Learning: A Survey Li Bai Haibo Hu Qingqing Ye Haoyang Li Leixia Wang Jianliang Xu FedML 119 14 0 09 Dec 2024
DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices Yongzhe Jia Xuyun Zhang Hongsheng Hu K. Choo Lianyong Qi Xiaolong Xu Amin Beheshti Wanchun Dou MoMe FedML 134 0 0 08 Dec 2024
One-shot Federated Learning via Synthetic Distiller-Distillate Communication Junyuan Zhang Songhua Liu Xinchao Wang DD FedML 96 3 0 06 Dec 2024
Privacy Drift: Evolving Privacy Concerns in Incremental Learning Sayyed Farid Ahamed S. Banerjee Sandip Roy Aayush Kapoor Marc Vucovich K. Choi Abdul Rahman Edward Bowen Sachin Shetty FedML 133 0 0 06 Dec 2024
Federated Learning in Mobile Networks: A Comprehensive Case Study on Traffic Forecasting Nikolaos Pavlidis V. Perifanis Selim F. Yilmaz F. Wilhelmi M. Miozzo P. Efraimidis R. Koutsiamanis Pavol Mulinka Paolo Dini 97 2 0 05 Dec 2024
BEFL: Balancing Energy Consumption in Federated Learning for Mobile Edge IoT Zehao Ju Tongquan Wei Fuke Shen 124 0 0 05 Dec 2024
GP-FL: Model-Based Hessian Estimation for Second-Order Over-the-Air Federated Learning Shayan Mohajer Hamidi Ali Bereyhi S. Asaad H. Vincent Poor 135 1 0 05 Dec 2024
Towards Data Governance of Frontier AI Models Jason Hausenloy Duncan McClements Madhavendra Thakur 151 2 0 05 Dec 2024
Federated Automated Feature Engineering Tom Overman Diego Klabjan FedML 169 1 0 05 Dec 2024
BGTplanner: Maximizing Training Accuracy for Differentially Private Federated Recommenders via Strategic Privacy Budget Allocation Xianzhi Zhang Yipeng Zhou Di Wu Di Wu Pengshan Liao Mohsen Guizani Michael Sheng 117 0 0 04 Dec 2024
Learn More by Using Less: Distributed Learning with Energy-Constrained Devices Roberto Pereira Cristian J. Vaca-Rubio Luis Blanco FedML 93 0 0 03 Dec 2024
Privacy-Preserving Federated Learning via Homomorphic Adversarial Networks Wenhan Dong Chao Lin Xinlei He Xinyi Huang Shengmin Xu PICV 120 0 0 02 Dec 2024
Review of Mathematical Optimization in Federated Learning Shusen Yang Fangyuan Zhao Zihao Zhou Liang Shi Xuebin Ren Zongben Xu FedML AI4CE 145 2 0 02 Dec 2024
FedAH: Aggregated Head for Personalized Federated Learning Pengzhan Zhou Yuepeng He Yijun Zhai Kaixin Gao Chao Chen Zhida Qin Chong Zhang Songtao Guo FedML 125 1 0 02 Dec 2024
FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction Yuepeng He Pengzhan Zhou Yijun Zhai Fang Qu Zhida Qin Mingyan Li Songtao Guo 120 1 0 02 Dec 2024
HumekaFL: Automated Detection of Neonatal Asphyxia Using Federated Learning Pamely Zantou Blessed Guda Bereket Retta Gladys Inabeza Carlee Joe-Wong Assane Gueye 80 0 0 02 Dec 2024