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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FL-APU: A Software Architecture to Ease Practical Implementation of Cross-Silo Federated Learning F. Stricker J. A. Peregrina D. Bermbach C. Zirpins FedML 80 0 0 31 Jan 2025
Meta-learning of shared linear representations beyond well-specified linear regression Mathieu Even Laurent Massoulié 44 0 0 31 Jan 2025
Update Estimation and Scheduling for Over-the-Air Federated Learning with Energy Harvesting Devices Furkan Bagci Busra Tegin M. Kazemi T. Duman 42 0 0 30 Jan 2025
Advancing Personalized Federated Learning: Integrative Approaches with AI for Enhanced Privacy and Customization Kevin Cooper Michael Geller 95 0 0 30 Jan 2025
Poisoning Attacks and Defenses to Federated Unlearning Wenbin Wang Qiwen Ma Zifan Zhang Yuchen Liu Zhuqing Liu Minghong Fang MU FedML 94 2 0 29 Jan 2025
Do We Really Need to Design New Byzantine-robust Aggregation Rules? Minghong Fang Seyedsina Nabavirazavi Zhuqing Liu Wei Sun S. Iyengar Haibo Yang AAML OOD 99 6 0 29 Jan 2025
Heterogeneity-aware Personalized Federated Learning via Adaptive Dual-Agent Reinforcement Learning Xi Chen Qin Li Haibin Cai Ting Wang 62 0 0 28 Jan 2025
Meta-Federated Learning: A Novel Approach for Real-Time Traffic Flow Management Bob Johnson Michael Geller 54 1 0 28 Jan 2025
Federated Learning for Efficient Condition Monitoring and Anomaly Detection in Industrial Cyber-Physical Systems William Marfo Deepak K. Tosh Shirley V. Moore AI4CE 74 7 0 28 Jan 2025
Integrating Personalized Federated Learning with Control Systems for Enhanced Performance Alice Smith Bob Johnson Michael Geller 62 1 0 28 Jan 2025
Data Duplication: A Novel Multi-Purpose Attack Paradigm in Machine Unlearning Dayong Ye Tainqing Zhu Junlong Li Kun Gao B. Liu Lefei Zhang Wanlei Zhou Yanmei Zhang AAML MU 85 0 0 28 Jan 2025
CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling Kaiyuan Zhang Siyuan Cheng Guangyu Shen Bruno Ribeiro Shengwei An Pin-Yu Chen Xinming Zhang Ninghui Li 160 1 0 28 Jan 2025
Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data Judith Sáinz-Pardo Díaz Á. García 41 0 0 28 Jan 2025
FedTLU: Federated Learning with Targeted Layer Updates Jong-Ik Park Carlee Joe-Wong FedML 89 0 0 28 Jan 2025
Randomized Block-Coordinate Optimistic Gradient Algorithms for Root-Finding Problems Quoc Tran-Dinh Yang Luo 99 6 0 28 Jan 2025
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting Milad Khademi Nori Il-Min Kim Guanghui CLL 72 1 0 26 Jan 2025
Decentralized Low-Rank Fine-Tuning of Large Language Models Sajjad Ghiasvand Mahnoosh Alizadeh Ramtin Pedarsani ALM 73 0 0 26 Jan 2025
Scalable Decentralized Learning with Teleportation Yuki Takezawa Sebastian U. Stich 72 1 0 25 Jan 2025
FedAGHN: Personalized Federated Learning with Attentive Graph HyperNetworks Jiarui Song Yunheng Shen Chengbin Hou Pengyu Wang Jinbao Wang Ke Tang Hairong Lv FedML 46 1 0 24 Jan 2025
BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities Zhibo Tian Ruijie Quan Fan Ma Kun Zhan Yi Yang 36 1 0 24 Jan 2025
PBM-VFL: Vertical Federated Learning with Feature and Sample Privacy Linh Tran Timothy Castiglia Stacy Patterson Ana Milanova FedML 50 0 0 23 Jan 2025
Unlearning Clients, Features and Samples in Vertical Federated Learning Ayush K. Varshney Konstantinos Vandikas V. Torra MU 49 1 0 23 Jan 2025
MultiDreamer3D: Multi-concept 3D Customization with Concept-Aware Diffusion Guidance Wooseok Song Seunggyu Chang Jaejun Yoo DiffM 49 0 0 23 Jan 2025
Bad-PFL: Exploring Backdoor Attacks against Personalized Federated Learning Mingyuan Fan Zhanyi Hu Fuyi Wang Cen Chen SILM 55 0 0 22 Jan 2025
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling Emir Ceyani Han Xie Baturalp Buyukates Carl Yang Salman Avestimehr FedML 107 0 0 22 Jan 2025
A Selective Homomorphic Encryption Approach for Faster Privacy-Preserving Federated Learning Abdulkadir Korkmaz Praveen Rao FedML 42 0 0 22 Jan 2025
CYCle: Choosing Your Collaborators Wisely to Enhance Collaborative Fairness in Decentralized Learning Nurbek Tastan Samuel Horváth Karthik Nandakumar FedML 69 0 0 21 Jan 2025
FedCLEAN: byzantine defense by CLustering Errors of Activation maps in Non-IID federated learning environments Mehdi Ben Ghali Reda Bellafqira Gouenou Coatrieux AAML FedML 50 0 0 21 Jan 2025
Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy Khaoula Chehbouni Martine De Cock Gilles Caporossi Afaf Taik Reihaneh Rabbany G. Farnadi 78 0 0 21 Jan 2025
The Transition from Centralized Machine Learning to Federated Learning for Mental Health in Education: A Survey of Current Methods and Future Directions Maryam Ebrahimi Rajeev Sahay Seyyedali Hosseinalipour Bita Akram 54 1 0 20 Jan 2025
BlindFL: Segmented Federated Learning with Fully Homomorphic Encryption Evan Gronberg L. dÁliberti Magnus Saebo Aurora Hook FedML 56 0 0 20 Jan 2025
A performance analysis of VM-based Trusted Execution Environments for Confidential Federated Learning Bruno Casella FedML 37 0 0 20 Jan 2025
UniTrans: A Unified Vertical Federated Knowledge Transfer Framework for Enhancing Cross-Hospital Collaboration Chung-ju Huang Yuanpeng He Xiao Han Wenpin Jiao Zhi Jin Leye Wang FedML 51 2 0 20 Jan 2025
Federated Learning with Sample-level Client Drift Mitigation Haoran Xu Jiaze Li Wanyi Wu Hao Ren FedML 49 0 0 20 Jan 2025
Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation Dongjie Wang Yanyong Huang Wangyang Ying Haoyue Bai Nanxu Gong ... Meng Xiao Pengfei Wang P. Wang Hui Xiong Yanjie Fu LMTD 55 6 0 17 Jan 2025
Federated Deep Subspace Clustering Yupei Zhang Ruojia Feng Yifei Wang Xuequn Shang FedML 85 0 0 17 Jan 2025
PeFLL: Personalized Federated Learning by Learning to Learn Jonathan Scott Hossein Zakerinia Christoph H. Lampert FedML 110 9 0 17 Jan 2025
Data and System Perspectives of Sustainable Artificial Intelligence Tao Xie D. Harel Dezhi Ran Zhenwen Li Maoliang Li ... Wentao Zhang Meng Li Chenyi Zhang Linyi Li Assaf Marron 39 0 0 13 Jan 2025
ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Yongming Fan Rui Zhu Zihao Wang Chenghong Wang Haixu Tang Ye Dong Hyunghoon Cho Lucila Ohno-Machado 45 0 0 12 Jan 2025
KeTS: Kernel-based Trust Segmentation against Model Poisoning Attacks Ankit Gangwal Mauro Conti Tommaso Pauselli AAML 46 0 0 12 Jan 2025
TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Runhua Xu Bo Li Chao Li J. Joshi Shuai Ma Jianxin Li FedML 46 10 0 10 Jan 2025
FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning Yanbing Zhou Xiangmou Qu Chenlong You Jiyang Zhou Jingyue Tang Xin Zheng Chunmao Cai Yingbo Wu FedML 58 1 0 09 Jan 2025
Ethical Concerns of Generative AI and Mitigation Strategies: A Systematic Mapping Study Yutan Huang Chetan Arora Wen Cheng Houng Tanjila Kanij Anuradha Madulgalla John C. Grundy 89 1 0 08 Jan 2025
Revisiting LocalSGD and SCAFFOLD: Improved Rates and Missing Analysis Ruichen Luo Sebastian U Stich Samuel Horváth Martin Takáč 43 0 0 08 Jan 2025
Uncertainty-Aware Label Refinement on Hypergraphs for Personalized Federated Facial Expression Recognition Hu Ding Yan Yan Yang Lu Jing-Hao Xue Hanzi Wang 37 0 0 03 Jan 2025
Beyond Model Scale Limits: End-Edge-Cloud Federated Learning with Self-Rectified Knowledge Agglomeration Zhiyuan Wu Sheng Sun Yuwei Wang Min Liu Ke Xu Quyang Pan Bo Gao Tian Wen FedML 32 1 0 03 Jan 2025
Election of Collaborators via Reinforcement Learning for Federated Brain Tumor Segmentation Muhammad Irfan Khan Elina Kontio Suleiman A. Khan Mojtaba Jafaritadi FedML 56 0 0 31 Dec 2024
FedSat: A Statistical Aggregation Approach for Class Imbalanced Clients in Federated Learning S. Chowdhury Raju Halder FedML 45 0 0 31 Dec 2024
Delayed Random Partial Gradient Averaging for Federated Learning Xinyi Hu FedML 56 0 0 31 Dec 2024
Disentangling data distribution for Federated Learning Xinyuan Zhao Hanlin Gu Lixin Fan Qiang Yang Yuxing Han OOD FedML 51 0 0 31 Dec 2024