Federated Learning: Challenges, Methods, and Future Directions

21 August 2019

Papers citing "Federated Learning: Challenges, Methods, and Future Directions"

50 / 614 papers shown

Title
Bandwidth Allocation for Multiple Federated Learning Services in Wireless Edge Networks Jie Xu Heqiang Wang Lixing Chen FedML 56 43 0 10 Jan 2021
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation Su Wang Mengyuan Lee Seyyedali Hosseinalipour Roberto Morabito M. Chiang Christopher G. Brinton FedML 77 110 0 04 Jan 2021
PFL-MoE: Personalized Federated Learning Based on Mixture of Experts Binbin Guo Yuan Mei Danyang Xiao Weigang Wu Ye Yin Hongli Chang MoE 47 22 0 31 Dec 2020
Decentralized Federated Learning via Mutual Knowledge Transfer Chengxi Li Gang Li P. Varshney FedML 23 106 0 24 Dec 2020
Model-Based Deep Learning Nir Shlezinger Jay Whang Yonina C. Eldar A. Dimakis 28 317 0 15 Dec 2020
Towards open and expandable cognitive AI architectures for large-scale multi-agent human-robot collaborative learning Georgios Th. Papadopoulos M. Antona C. Stephanidis AI4CE 25 24 0 15 Dec 2020
Analysis and Optimal Edge Assignment For Hierarchical Federated Learning on Non-IID Data N. Mhaisen Alaa Awad Amr M. Mohamed A. Erbad Mohsen Guizani FedML 50 12 0 10 Dec 2020
Federated Learning in Unreliable and Resource-Constrained Cellular Wireless Networks M. Salehi Ekram Hossain FedML 51 82 0 09 Dec 2020
Poisoning Semi-supervised Federated Learning via Unlabeled Data: Attacks and Defenses Yi Liu Xingliang Yuan Ruihui Zhao Cong Wang Dusit Niyato Yefeng Zheng 33 5 0 08 Dec 2020
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs Binghui Wang Ang Li H. Li Yiran Chen 88 116 0 08 Dec 2020
Design and Analysis of Uplink and Downlink Communications for Federated Learning Sihui Zheng Cong Shen Xiang Chen 39 140 0 07 Dec 2020
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Xingjun Ma Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 183 355 0 07 Dec 2020
Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications Shuyan Hu Xiaojing Chen Wei Ni Ekram Hossain Xin Wang AI4CE 47 111 0 02 Dec 2020
Advancements of federated learning towards privacy preservation: from federated learning to split learning Chandra Thapa Pathum Chamikara Mahawaga Arachchige S. Çamtepe FedML 22 82 0 25 Nov 2020
Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks Minh N. H. Nguyen N. H. Tran Y. Tun Zhu Han Choong Seon Hong FedML 27 49 0 25 Nov 2020
A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in Federated Learning Xinyi Xu Lingjuan Lyu FedML 31 69 0 20 Nov 2020
Distributed Online Learning with Multiple Kernels Jeongmin Chae Songnam Hong 20 28 0 17 Nov 2020
A Novel Privacy-Preserved Recommender System Framework based on Federated Learning Jiangcheng Qin Baisong Liu FedML 32 19 0 11 Nov 2020
Resource-Constrained Federated Learning with Heterogeneous Labels and Models Gautham Krishna Gudur B. Balaji S. K. Perepu FedML 8 19 0 06 Nov 2020
FedSL: Federated Split Learning on Distributed Sequential Data in Recurrent Neural Networks Ali Abedi Shehroz S. Khan FedML 39 53 0 06 Nov 2020
6G Networks: Beyond Shannon Towards Semantic and Goal-Oriented Communications Emilio Calvanese Strinati Sergio Barbarossa 28 386 0 04 Nov 2020
Fast Convergence Algorithm for Analog Federated Learning Shuhao Xia Jingyang Zhu Yuhan Yang Yong Zhou Yuanming Shi Wei Chen FedML 29 31 0 30 Oct 2020
Federated Learning From Big Data Over Networks Y. Sarcheshmehpour M. Leinonen A. Jung FedML 6 17 0 27 Oct 2020
Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes Marten van Dijk Nhuong V. Nguyen Toan N. Nguyen Lam M. Nguyen Quoc Tran-Dinh Phuong Ha Nguyen FedML 42 10 0 27 Oct 2020
Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD Jiayi Wang Shiqiang Wang Rong-Rong Chen Mingyue Ji FedML 36 51 0 24 Oct 2020
Throughput-Optimal Topology Design for Cross-Silo Federated Learning Othmane Marfoq Chuan Xu Giovanni Neglia Richard Vidal FedML 67 85 0 23 Oct 2020
A Federated Learning Approach to Anomaly Detection in Smart Buildings Raed Abdel Sater A. Ben Hamza 17 121 0 20 Oct 2020
From Distributed Machine Learning To Federated Learning: In The View Of Data Privacy And Security Sheng Shen Tianqing Zhu Di Wu Wei Wang Wanlei Zhou FedML OOD 23 77 0 19 Oct 2020
FedGroup: Efficient Clustered Federated Learning via Decomposed Data-Driven Measure Moming Duan Duo Liu Xinyuan Ji Renping Liu Liang Liang Xianzhang Chen Yujuan Tan FedML 16 61 0 14 Oct 2020
FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers Zheng Chai Yujing Chen Ali Anwar Liang Zhao Yue Cheng Huzefa Rangwala FedML 21 122 0 12 Oct 2020
Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms Maruan Al-Shedivat Jennifer Gillenwater Eric P. Xing Afshin Rostamizadeh FedML 19 109 0 11 Oct 2020
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients Enmao Diao Jie Ding Vahid Tarokh FedML 46 544 0 03 Oct 2020
Federated Learning for Computational Pathology on Gigapixel Whole Slide Images Ming Y. Lu Dehan Kong Jana Lipkova Richard J. Chen Rajendra Singh Drew F. K. Williamson Tiffany Y. Chen Faisal Mahmood FedML MedIm 23 167 0 21 Sep 2020
Sparse Communication for Training Deep Networks Negar Foroutan Martin Jaggi FedML 30 16 0 19 Sep 2020
Private Reinforcement Learning with PAC and Regret Guarantees G. Vietri Borja Balle A. Krishnamurthy Zhiwei Steven Wu 21 59 0 18 Sep 2020
Byzantine-Robust Variance-Reduced Federated Learning over Distributed Non-i.i.d. Data Jie Peng Zhaoxian Wu Qing Ling Tianyi Chen OOD FedML 26 23 0 17 Sep 2020
Distilled One-Shot Federated Learning Yanlin Zhou George Pu Xiyao Ma Xiaolin Li D. Wu FedML DD 51 158 0 17 Sep 2020
Effective Federated Adaptive Gradient Methods with Non-IID Decentralized Data Qianqian Tong Guannan Liang J. Bi FedML 41 27 0 14 Sep 2020
Particle Swarm Optimized Federated Learning For Industrial IoT and Smart City Services Basheer Qolomany Kashif Ahmad Ala I. Al-Fuqaha Junaid Qadir 23 63 0 05 Sep 2020
A Survey on Blockchain for Big Data: Approaches, Opportunities, and Future Directions N. Deepa Viet Quoc Pham Dinh C. Nguyen S. Bhattacharya B. Prabadevi Thippa Reddy Gadekallu Praveen Kumar Reddy Maddikunta Fang Fang P. Pathirana AI4CE 25 386 0 02 Sep 2020
Optimization for Supervised Machine Learning: Randomized Algorithms for Data and Parameters Filip Hanzely 34 0 0 26 Aug 2020
Performance Optimization for Federated Person Re-identification via Benchmark Analysis Weiming Zhuang Yonggang Wen Xuesen Zhang Xin Gan Daiying Yin Dongzhan Zhou Shuai Zhang Shuai Yi FedML 76 95 0 26 Aug 2020
Federated Learning for Channel Estimation in Conventional and RIS-Assisted Massive MIMO Ahmet M. Elbir Sinem Coleri 34 129 0 25 Aug 2020
Federated Learning via Synthetic Data Jack Goetz Ambuj Tewari FedML DD 17 71 0 11 Aug 2020
LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets Ang Li Jingwei Sun Binghui Wang Lin Duan Sicheng Li Yiran Chen H. Li FedML 28 125 0 07 Aug 2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications Jihong Park S. Samarakoon Anis Elgabli Joongheon Kim M. Bennis Seong-Lyun Kim Mérouane Debbah 34 161 0 06 Aug 2020
Federated Transfer Learning with Dynamic Gradient Aggregation Dimitrios Dimitriadis K. Kumatani R. Gmyr Yashesh Gaur Sefik Emre Eskimez FedML 21 15 0 06 Aug 2020
Fast-Convergent Federated Learning Hung T. Nguyen Vikash Sehwag Seyyedali Hosseinalipour Christopher G. Brinton M. Chiang H. Vincent Poor FedML 26 192 0 26 Jul 2020
Federated Self-Supervised Learning of Multi-Sensor Representations for Embedded Intelligence Aaqib Saeed Flora D. Salim T. Ozcelebi J. Lukkien FedML SSL 101 99 0 25 Jul 2020
Byzantine-Resilient Secure Federated Learning Jinhyun So Başak Güler A. Avestimehr FedML 19 238 0 21 Jul 2020