Federated Optimization: Distributed Machine Learning for On-Device Intelligence

8 October 2016

Papers citing "Federated Optimization: Distributed Machine Learning for On-Device Intelligence"

50 / 733 papers shown

Title
Federated Fairness without Access to Sensitive Groups Afroditi Papadaki Natalia Martínez Martín Bertrán Guillermo Sapiro Miguel R. D. Rodrigues FedML 40 2 0 22 Feb 2024
Fog enabled distributed training architecture for federated learning Aditya Kumar S. Srirama 19 1 0 20 Feb 2024
Achieving Linear Speedup in Asynchronous Federated Learning with Heterogeneous Clients Xiaolu Wang Zijian Li Shi Jin Jun Zhang FedML 21 3 0 17 Feb 2024
The AI Security Pyramid of Pain Chris M. Ward Joshua D. Harguess Julia Tao Daniel Christman Paul Spicer Mike Tan 11 1 0 16 Feb 2024
A chaotic maps-based privacy-preserving distributed deep learning for incomplete and Non-IID datasets Irina Arévalo Jose L. Salmeron FedML 14 3 0 15 Feb 2024
Benchmarking federated strategies in Peer-to-Peer Federated learning for biomedical data Jose L. Salmeron Irina Arévalo A. Ruiz-Celma OOD FedML 79 11 0 15 Feb 2024
A privacy-preserving, distributed and cooperative FCM-based learning approach for cancer research Jose L. Salmeron Irina Arévalo 71 10 0 15 Feb 2024
You Still See Me: How Data Protection Supports the Architecture of ML Surveillance Rui-Jie Yew Lucy Qin Suresh Venkatasubramanian 41 3 0 09 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 34 0 0 09 Feb 2024
FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning Gongxi Zhu Donghao Li Hanlin Gu Yuxing Han Yuan Yao Lixin Fan 41 2 0 09 Feb 2024
Federated Learning Can Find Friends That Are Advantageous N. Tupitsa Samuel Horváth Martin Takávc Eduard A. Gorbunov FedML 46 2 0 07 Feb 2024
SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning Paul Mangold S. Samsonov Safwan Labbi I. Levin Réda Alami Alexey Naumov Eric Moulines 38 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 61 5 0 06 Feb 2024
An Auction-based Marketplace for Model Trading in Federated Learning Yue Cui Liuyi Yao Yaliang Li Ziqian Chen Bolin Ding Xiaofang Zhou FedML 45 3 0 02 Feb 2024
Decomposable Submodular Maximization in Federated Setting Akbar Rafiey FedML 30 1 0 31 Jan 2024
Decentralized Federated Learning: A Survey on Security and Privacy Ehsan Hallaji R. Razavi-Far M. Saif Boyu Wang Qiang Yang FedML 52 34 0 25 Jan 2024
Federated learning with distributed fixed design quantum chips and quantum channels Ammar Daskin FedML 28 0 0 24 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 40 2 0 22 Jan 2024
Not all Minorities are Equal: Empty-Class-Aware Distillation for Heterogeneous Federated Learning Kuangpu Guo Yuhe Ding Jian Liang Ran He Zilei Wang Tieniu Tan FedML 37 1 0 04 Jan 2024
A review on different techniques used to combat the non-IID and heterogeneous nature of data in FL Iyer Venkataraman Natarajan 23 8 0 01 Jan 2024
On the Necessity of Metalearning: Learning Suitable Parameterizations for Learning Processes Massinissa Hamidi A. Osmani 35 0 0 31 Dec 2023
Harnessing the Power of Federated Learning in Federated Contextual Bandits Chengshuai Shi Ruida Zhou Kun Yang Cong Shen FedML 21 0 0 26 Dec 2023
Federated Hyperdimensional Computing Kazim Ergun Rishikanth Chandrasekaran Tajana Simunic FedML 15 0 0 26 Dec 2023
User Consented Federated Recommender System Against Personalized Attribute Inference Attack Qi Hu Yangqiu Song FedML 48 9 0 23 Dec 2023
Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning Reda Khoufache M. Lebbah Hanene Azzag Étienne Goffinet D. Bouchaffra FedML 14 2 0 18 Dec 2023
Federated Multilinear Principal Component Analysis with Applications in Prognostics Chengyu Zhou Yuqi Su Tangbin Xia Xiaolei Fang 17 4 0 11 Dec 2023
Beyond Gradient and Priors in Privacy Attacks: Leveraging Pooler Layer Inputs of Language Models in Federated Learning Jianwei Li Sheng Liu Qi Lei PILM SILM AAML 30 4 0 10 Dec 2023
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights Maryam Ben Driss Essaid Sabir H. Elbiaze Walid Saad 30 7 0 07 Dec 2023
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts Jiayi Chen Benteng Ma Hengfei Cui Yong-quan Xia OOD FedML 29 12 0 05 Dec 2023
Contrastive encoder pre-training-based clustered federated learning for heterogeneous data Ye Lin Tun Minh N. H. Nguyen Chu Myaet Thwal J. Choi Choong Seon Hong FedML 26 13 0 28 Nov 2023
Fault Detection in Telecom Networks using Bi-level Federated Graph Neural Networks Rémi Bourgerie Tahar Zanouda 20 4 0 24 Nov 2023
Prototype of deployment of Federated Learning with IoT devices Pablo García Santaclara Ana Fernández Vilas R. Redondo 23 10 0 24 Nov 2023
A Novel Neural Network-Based Federated Learning System for Imbalanced and Non-IID Data Mahfuzur Rahman Chowdhury Muhammad Ibrahim FedML 16 0 0 16 Nov 2023
Scalable Federated Learning for Clients with Different Input Image Sizes and Numbers of Output Categories Shuhei Nitta Taiji Suzuki Albert Rodríguez Mulet A. Yaguchi Ryusuke Hirai FedML 12 0 0 15 Nov 2023
A Federated Data Fusion-Based Prognostic Model for Applications with Multi-Stream Incomplete Signals Madi Arabi Xiaolei Fang FedML 16 0 0 13 Nov 2023
Tunable Soft Prompts are Messengers in Federated Learning Chenhe Dong Yuexiang Xie Bolin Ding Ying Shen Yaliang Li FedML 43 7 0 12 Nov 2023
AccEPT: An Acceleration Scheme for Speeding Up Edge Pipeline-parallel Training Yuhao Chen Yuxuan Yan Qianqian Yang Yuanchao Shu Shibo He Zhiguo Shi Jiming Chen 35 0 0 10 Nov 2023
Federated Topic Model and Model Pruning Based on Variational Autoencoder Chengjie Ma Yawen Li M. Liang Ang Li FedML 8 1 0 01 Nov 2023
Maximum Knowledge Orthogonality Reconstruction with Gradients in Federated Learning Feng Wang Senem Velipasalar M. C. Gursoy 25 2 0 30 Oct 2023
Correlation Aware Sparsified Mean Estimation Using Random Projection Shuli Jiang Pranay Sharma Gauri Joshi 35 1 0 29 Oct 2023
Weighted Sampled Split Learning (WSSL): Balancing Privacy, Robustness, and Fairness in Distributed Learning Environments Manish Osti Aashray Thakuri Basheer Qolomany Aos Mulahuwaish 21 0 0 27 Oct 2023
Cross-feature Contrastive Loss for Decentralized Deep Learning on Heterogeneous Data Sai Aparna Aketi Kaushik Roy FedML 29 2 0 24 Oct 2023
Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms Ye Tian Haolei Weng Yang Feng 24 3 0 23 Oct 2023
ADMarker: A Multi-Modal Federated Learning System for Monitoring Digital Biomarkers of Alzheimer's Disease Xiaomin Ouyang Xian Shuai Yang Li Lilin Pan Xifan Zhang ... Hazel Mok Zhenyu Yan Doris Sau Fung Yu Timothy Kwok Guoliang Xing 20 14 0 23 Oct 2023
FLEE-GNN: A Federated Learning System for Edge-Enhanced Graph Neural Network in Analyzing Geospatial Resilience of Multicommodity Food Flows Yuxiao Qu Jinmeng Rao Song Gao Qianheng Zhang Wei-Lun Chao Yu-Chuan Su Michelle Miller Alfonso Morales Patrick Huber FedML 28 2 0 20 Oct 2023
LASER: Linear Compression in Wireless Distributed Optimization Ashok Vardhan Makkuva Marco Bondaschi Thijs Vogels Martin Jaggi Hyeji Kim Michael C. Gastpar 82 3 0 19 Oct 2023
Federated Learning with Nonvacuous Generalisation Bounds Pierre Jobic Maxime Haddouche Benjamin Guedj FedML 30 3 0 17 Oct 2023
Sample-Driven Federated Learning for Energy-Efficient and Real-Time IoT Sensing Minh Ngoc Luu Minh-Duong Nguyen E. Bedeer Van Duc Nguyen D. Hoang Diep N. Nguyen Viet Quoc Pham 18 2 0 11 Oct 2023
FedNAR: Federated Optimization with Normalized Annealing Regularization Junbo Li Ang Li Chong Tian Qirong Ho Eric P. Xing Hongyi Wang FedML 22 5 0 04 Oct 2023
Robot Fleet Learning via Policy Merging Lirui Wang Kaiqing Zhang Allan Zhou Max Simchowitz Russ Tedrake 42 4 0 02 Oct 2023