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
On Differential Privacy for Federated Learning in Wireless Systems with Multiple Base Stations Nima Tavangaran Mingzhe Chen Zhaohui Yang J. M. B. D. Silva H. Vincent Poor FedML 28 4 0 25 Aug 2022
Exact Penalty Method for Federated Learning Shenglong Zhou Geoffrey Ye Li FedML 33 0 0 23 Aug 2022
A Platform-Free Proof of Federated Learning Consensus Mechanism for Sustainable Blockchains Yuntao Wang Hai-xia Peng Zhou Su Tom H. Luan A. Benslimane Yuan Wu 42 57 0 23 Aug 2022
FedComm: Understanding Communication Protocols for Edge-based Federated Learning Gary Cleland Di Wu R. Ullah Blesson Varghese 25 5 0 18 Aug 2022
DeFL: Decentralized Weight Aggregation for Cross-silo Federated Learning Jialiang Han Yudong Han Gang Huang Yun Ma FedML 28 4 0 01 Aug 2022
Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates Fangcheng Fu Xupeng Miao Jiawei Jiang Huanran Xue Bin Cui FedML 32 21 0 29 Jul 2022
Privacy-Preserving Federated Recurrent Neural Networks Sinem Sav Abdulrahman Diaa Apostolos Pyrgelis Jean-Philippe Bossuat Jean-Pierre Hubaux 15 7 0 28 Jul 2022
CFLIT: Coexisting Federated Learning and Information Transfer Zehong Lin Hang Liu Y. Zhang 12 11 0 26 Jul 2022
Reducing Training Time in Cross-Silo Federated Learning using Multigraph Topology Tuong Khanh Long Do Binh X. Nguyen Vuong Pham Toan V. Tran Erman Tjiputra Quang-Dieu Tran A. Nguyen FedML AI4CE 36 3 0 20 Jul 2022
Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State of the Art and Future Directions Qiang Duan Shijing Hu Ruijun Deng Zhihui Lu FedML 31 61 0 20 Jul 2022
On Decentralizing Federated Reinforcement Learning in Multi-Robot Scenarios Jayprakash S. Nair Divya D. Kulkarni Ajitem Joshi Sruthy Suresh 21 5 0 19 Jul 2022
Is Vertical Logistic Regression Privacy-Preserving? A Comprehensive Privacy Analysis and Beyond Yuzheng Hu Tianle Cai Jinyong Shan Shange Tang Chaochao Cai Ethan Song Bo-wen Li D. Song FedML AAML 22 9 0 19 Jul 2022
Federated Learning and catastrophic forgetting in pervasive computing: demonstration in HAR domain Anastasiia Usmanova François Portet P. Lalanda Germán Vega FedML 27 3 0 17 Jul 2022
Parallel Best Arm Identification in Heterogeneous Environments Nikolai Karpov Qin Zhang 40 8 0 16 Jul 2022
Accelerated Federated Learning with Decoupled Adaptive Optimization Jiayin Jin Jiaxiang Ren Yang Zhou Lingjuan Lyu Ji Liu Dejing Dou AI4CE FedML 19 51 0 14 Jul 2022
Mechanisms that Incentivize Data Sharing in Federated Learning Sai Praneeth Karimireddy Wenshuo Guo Michael I. Jordan FedML 33 45 0 10 Jul 2022
Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning Grigory Malinovsky Kai Yi Peter Richtárik FedML 42 38 0 09 Jul 2022
Federated Learning with Quantum Secure Aggregation Yichi Zhang Chao Zhang Cai Zhang Lixin Fan B. Zeng Qiang Yang FedML 13 23 0 09 Jul 2022
StatMix: Data augmentation method that relies on image statistics in federated learning Dominik Lewy Jacek Mańdziuk M. Ganzha M. Paprzycki FedML 17 8 0 08 Jul 2022
Communication Acceleration of Local Gradient Methods via an Accelerated Primal-Dual Algorithm with Inexact Prox Abdurakhmon Sadiev D. Kovalev Peter Richtárik 30 20 0 08 Jul 2022
FAIR-BFL: Flexible and Incentive Redesign for Blockchain-based Federated Learning Rongxin Xu Shiva Raj Pokhrel Qiujun Lan Gang Li 17 7 0 26 Jun 2022
Multi-party Secure Broad Learning System for Privacy Preserving Xiaolin Cao Changdong Wang Jianchang Lai Qiong Huang C.L.Philip Chen 12 18 0 22 Jun 2022
Federated Latent Class Regression for Hierarchical Data Bin Yang T. Carette Masanobu Jimbo Shinya Maruyama FedML 20 0 0 22 Jun 2022
An Energy and Carbon Footprint Analysis of Distributed and Federated Learning S. Savazzi V. Rampa Sanaz Kianoush M. Bennis 38 42 0 21 Jun 2022
SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression Zhize Li Haoyu Zhao Boyue Li Yuejie Chi FedML 29 41 0 20 Jun 2022
BlindFL: Vertical Federated Machine Learning without Peeking into Your Data Fangcheng Fu Huanran Xue Yong Cheng Yangyu Tao Bin Cui FedML 26 59 0 16 Jun 2022
Strategic Coalition for Data Pricing in IoT Data Markets Shashi Raj Pandey Pierre Pinson P. Popovski 29 5 0 15 Jun 2022
Matching Pursuit Based Scheduling for Over-the-Air Federated Learning Ali Bereyhi Adela Vagollari S. Asaad R. Muller W. Gerstacker H. Vincent Poor 23 6 0 14 Jun 2022
Federated Learning on Riemannian Manifolds Jiaxiang Li Shiqian Ma FedML 13 13 0 12 Jun 2022
On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond Xiao-Tong Yuan P. Li FedML 18 58 0 10 Jun 2022
Accelerating Asynchronous Federated Learning Convergence via Opportunistic Mobile Relaying Jieming Bian Jie Xu FedML 23 6 0 09 Jun 2022
A Critical Review on the Use (and Misuse) of Differential Privacy in Machine Learning Alberto Blanco-Justicia David Sánchez J. Domingo-Ferrer K. Muralidhar 9 59 0 09 Jun 2022
Byzantine-Resilient Decentralized Stochastic Optimization with Robust Aggregation Rules Zhaoxian Wu Tianyi Chen Qing Ling 31 36 0 09 Jun 2022
Distributed Newton-Type Methods with Communication Compression and Bernoulli Aggregation Rustem Islamov Xun Qian Slavomír Hanzely M. Safaryan Peter Richtárik 35 16 0 07 Jun 2022
Group privacy for personalized federated learning Filippo Galli Sayan Biswas Kangsoo Jung Tommaso Cucinotta C. Palamidessi FedML 13 12 0 07 Jun 2022
Certified Robustness in Federated Learning Motasem Alfarra Juan C. Pérez Egor Shulgin Peter Richtárik Guohao Li AAML FedML 23 7 0 06 Jun 2022
(Im)possibility of Collective Intelligence Krikamol Muandet 27 6 0 05 Jun 2022
On the Generalization of Wasserstein Robust Federated Learning Tung Nguyen Tuan Dung Nguyen Long Tan Le Canh T. Dinh N. H. Tran OOD FedML 26 6 0 03 Jun 2022
Completion Time Minimization of Fog-RAN-Assisted Federated Learning With Rate-Splitting Transmission Seok-Hwan Park Hoon Lee 33 12 0 03 Jun 2022
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing Wei Xu Zhaohui Yang Derrick Wing Kwan Ng Marco Levorato Yonina C. Eldar Mérouane Debbah 28 398 0 01 Jun 2022
Optimization with Access to Auxiliary Information El Mahdi Chayti Sai Praneeth Karimireddy AAML 17 10 0 01 Jun 2022
A Cross-City Federated Transfer Learning Framework: A Case Study on Urban Region Profiling Gaode Chen Yijun Su Xinghua Zhang Anmin Hu Guochun Chen Siyuan Feng Jinlin Xiang Junbo Zhang Yu Zheng 39 5 0 31 May 2022
A Survey of Graph-Theoretic Approaches for Analyzing the Resilience of Networked Control Systems Mohammad Pirani A. Mitra S. Sundaram AI4CE 34 8 0 25 May 2022
Towards a Defense Against Federated Backdoor Attacks Under Continuous Training Shuai Wang J. Hayase Giulia Fanti Sewoong Oh FedML 26 5 0 24 May 2022
FedNoiL: A Simple Two-Level Sampling Method for Federated Learning with Noisy Labels Zhuowei Wang Dinesh Manocha Guodong Long Bo Han Jing Jiang FedML 27 19 0 20 May 2022
Federated learning: Applications, challenges and future directions Subrato Bharati Hossain Mondal Prajoy Podder V. B. Surya Prasath FedML 39 53 0 18 May 2022
Efficient Learning of Interpretable Classification Rules Bishwamittra Ghosh Dmitry Malioutov Kuldeep S. Meel 24 7 0 14 May 2022
Blockchain-based Secure Client Selection in Federated Learning Truc D. T. Nguyen Phuc Thai Tre' R. Jeter Thang N. Dinh My T. Thai 25 12 0 11 May 2022
FedNest: Federated Bilevel, Minimax, and Compositional Optimization Davoud Ataee Tarzanagh Mingchen Li Christos Thrampoulidis Samet Oymak FedML 42 73 0 04 May 2022
FedGiA: An Efficient Hybrid Algorithm for Federated Learning Shenglong Zhou Geoffrey Ye Li FedML 31 16 0 03 May 2022