Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies

3 October 2020

Papers citing "Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies"

50 / 163 papers shown

Title
FedGS: Federated Graph-based Sampling with Arbitrary Client Availability Ziyi Wang Xiaoliang Fan Jianzhong Qi Haibing Jin Peizhen Yang Siqi Shen Cheng-i Wang FedML 30 13 0 25 Nov 2022
Client Selection in Federated Learning: Principles, Challenges, and Opportunities Lei Fu Huan Zhang Ge Gao Mi Zhang Xin Liu FedML 37 115 0 03 Nov 2022
FedMint: Intelligent Bilateral Client Selection in Federated Learning with Newcomer IoT Devices O. Wehbi S. Arisdakessian Omar Abdel Wahab Hadi Otrok Safa Otoum Azzam Mourad Mohsen Guizani FedML 13 11 0 31 Oct 2022
Local Model Reconstruction Attacks in Federated Learning and their Uses Ilias Driouich Chuan Xu Giovanni Neglia F. Giroire Eoin Thomas AAML FedML 32 2 0 28 Oct 2022
Federated Learning Using Variance Reduced Stochastic Gradient for Probabilistically Activated Agents M. Rostami S. S. Kia FedML 28 8 0 25 Oct 2022
Investigating Neuron Disturbing in Fusing Heterogeneous Neural Networks Biao Zhang Shuqin Zhang FedML MoMe 24 0 0 24 Oct 2022
On-Device Model Fine-Tuning with Label Correction in Recommender Systems Yucheng Ding Chaoyue Niu Fan Wu Shaojie Tang Chengfei Lyu Guihai Chen 19 2 0 21 Oct 2022
Depersonalized Federated Learning: Tackling Statistical Heterogeneity by Alternating Stochastic Gradient Descent Yujie Zhou Zhidu Li Tong Tang Ruyang Wang FedML 24 0 0 07 Oct 2022
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction Jianyi Zhang Ang Li Minxue Tang Jingwei Sun Xiang Chen Fan Zhang Chang Chen Yiran Chen H. Li FedML 11 42 0 30 Sep 2022
Fast Heterogeneous Federated Learning with Hybrid Client Selection Guangyuan Shen D. Gao Duanxiao Song Libin Yang Xukai Zhou Shirui Pan W. Lou Fang Zhou FedML 39 12 0 10 Aug 2022
FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning Nang Hung Nguyen Phi Le Nguyen D. Nguyen Trung Thanh Nguyen Thuy-Dung Nguyen H. Pham Truong Thao Nguyen FedML 67 24 0 04 Aug 2022
FedVARP: Tackling the Variance Due to Partial Client Participation in Federated Learning Divyansh Jhunjhunwala Pranay Sharma Aushim Nagarkatti Gauri Joshi FedML 49 42 0 28 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
FedSS: Federated Learning with Smart Selection of clients Ammar Tahir Yongzhou Chen Prashanti Nilayam FedML 11 4 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
Multi-Model Federated Learning with Provable Guarantees Neelkamal Bhuyan Sharayu Moharir Gauri Joshi FedML 32 14 0 09 Jul 2022
Towards Federated Long-Tailed Learning Zihan Chen Songshan Liu Hualiang Wang Howard H. Yang Tony Q. S. Quek Zuozhu Liu FedML 23 10 0 30 Jun 2022
A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates Yann Fraboni Richard Vidal Laetitia Kameni Marco Lorenzi FedML 27 24 0 21 Jun 2022
DELTA: Diverse Client Sampling for Fasting Federated Learning Lung-Chuang Wang Yongxin Guo Tao R. Lin Xiaoying Tang FedML 23 22 0 27 May 2022
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning Liam Collins Hamed Hassani Aryan Mokhtari Sanjay Shakkottai FedML 32 75 0 27 May 2022
Combating Client Dropout in Federated Learning via Friend Model Substitution Heqiang Wang Jie Xu FedML 25 5 0 26 May 2022
Federated Learning Aggregation: New Robust Algorithms with Guarantees Adnane Mansour Gaia Carenini Alexandre Duplessis D. Naccache OOD FedML 71 10 0 22 May 2022
Federated Learning Under Intermittent Client Availability and Time-Varying Communication Constraints Mónica Ribero H. Vikalo G. Veciana FedML 24 42 0 13 May 2022
Privacy Amplification via Random Participation in Federated Learning Burak Hasircioglu Deniz Gunduz FedML 19 1 0 03 May 2022
FedCorr: Multi-Stage Federated Learning for Label Noise Correction Jingyi Xu Zihan Chen Tony Q. S. Quek Kai Fong Ernest Chong FedML 16 85 0 10 Apr 2022
FLAME: Federated Learning Across Multi-device Environments Hyunsung Cho Akhil Mathur F. Kawsar 16 21 0 17 Feb 2022
Learnings from Federated Learning in the Real world Christophe Dupuy Tanya Roosta Leo Long Clement Chung Rahul Gupta A. Avestimehr FedML 25 10 0 08 Feb 2022
Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization Jake B. Perazzone Shiqiang Wang Mingyue Ji Kevin S. Chan FedML 21 72 0 19 Jan 2022
FedBalancer: Data and Pace Control for Efficient Federated Learning on Heterogeneous Clients Jaemin Shin Yuanchun Li Yunxin Liu Sung-Ju Lee FedML 17 73 0 05 Jan 2022
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback Boxin Zhao Lingxiao Wang Mladen Kolar Ziqi Liu Qing Cui Jun Zhou Chaochao Chen FedML 34 10 0 28 Dec 2021
Sparsified Secure Aggregation for Privacy-Preserving Federated Learning Irem Ergun Hasin Us Sami Başak Güler FedML 36 26 0 23 Dec 2021
Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling Bing Luo Wenli Xiao Shiqiang Wang Jianwei Huang Leandros Tassiulas FedML 42 168 0 21 Dec 2021
AdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep Learning Ayush Chopra Surya Kant Sahu Abhishek Singh Abhinav Java Praneeth Vepakomma Vivek Sharma Ramesh Raskar 32 26 0 02 Dec 2021
Client Selection in Federated Learning based on Gradients Importance Ouiame Marnissi Hajar Elhammouti El Houcine Bergou FedML 23 16 0 19 Nov 2021
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning Raed Al Kontar Naichen Shi Xubo Yue Seokhyun Chung E. Byon ... C. Okwudire Garvesh Raskutti R. Saigal Karandeep Singh Ye Zhisheng FedML 38 50 0 09 Nov 2021
Towards Fairness-Aware Federated Learning Yuxin Shi Han Yu Cyril Leung FedML 21 79 0 02 Nov 2021
FedFm: Towards a Robust Federated Learning Approach For Fault Mitigation at the Edge Nodes Manupriya Gupta Pavas Goyal Rohit Verma R. Shorey H. Saran FedML 19 4 0 01 Nov 2021
EF21 with Bells & Whistles: Practical Algorithmic Extensions of Modern Error Feedback Ilyas Fatkhullin Igor Sokolov Eduard A. Gorbunov Zhize Li Peter Richtárik 46 44 0 07 Oct 2021
Personalized Federated Learning for Heterogeneous Clients with Clustered Knowledge Transfer Yae Jee Cho Jianyu Wang Tarun Chiruvolu Gauri Joshi FedML 35 30 0 16 Sep 2021
Federated Submodel Optimization for Hot and Cold Data Features Yucheng Ding Chaoyue Niu Fan Wu Shaojie Tang Chengfei Lv Yanghe Feng Guihai Chen FedML 21 5 0 16 Sep 2021
Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection Shulai Zhang Zirui Li Quan Chen Wenli Zheng Jingwen Leng M. Guo FedML 59 32 0 08 Sep 2021
A Decentralized Federated Learning Framework via Committee Mechanism with Convergence Guarantee Chunjiang Che Xiaoli Li Chuan Chen Xiaoyu He Zibin Zheng FedML 33 72 0 01 Aug 2021
A General Theory for Client Sampling in Federated Learning Yann Fraboni Richard Vidal Laetitia Kameni Marco Lorenzi FedML 9 13 0 26 Jul 2021
FedLab: A Flexible Federated Learning Framework Dun Zeng Siqi Liang Xiangjing Hu Hui Wang Zenglin Xu FedML 13 107 0 24 Jul 2021
Communication Efficiency in Federated Learning: Achievements and Challenges Osama Shahid Seyedamin Pouriyeh R. Parizi Quan Z. Sheng Gautam Srivastava Liang Zhao FedML 40 74 0 23 Jul 2021
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 187 412 0 14 Jul 2021
Management of Resource at the Network Edge for Federated Learning Silvana Trindade L. Bittencourt N. Fonseca 22 6 0 07 Jul 2021
Is Shapley Value fair? Improving Client Selection for Mavericks in Federated Learning Jiyue Huang Chi Hong L. Chen Stefanie Roos FedML 19 9 0 20 Jun 2021
On Large-Cohort Training for Federated Learning Zachary B. Charles Zachary Garrett Zhouyuan Huo Sergei Shmulyian Virginia Smith FedML 21 113 0 15 Jun 2021
Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning Jinhyun So Ramy E. Ali Başak Güler Jiantao Jiao Salman Avestimehr FedML 37 77 0 07 Jun 2021