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Federated Learning: Strategies for Improving Communication Efficiency

18 October 2016

Dave Bacon

Papers citing "Federated Learning: Strategies for Improving Communication Efficiency"

50 / 1,868 papers shown

Title
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences Mubashir Imran Hongzhi Yin Tong Chen Nguyen Quoc Viet Hung Alexander Zhou Kai Zheng 89 72 0 28 Jul 2022
Fine-grained Private Knowledge Distillation Yuntong Li Shaowei Wang Yingying Wang Jin Li Yuqiu Qian Bangzhou Xin Wei Yang 101 0 0 27 Jul 2022
Reconciling Security and Communication Efficiency in Federated Learning Karthik Prasad Sayan Ghosh Graham Cormode Ilya Mironov Ashkan Yousefpour Pierre Stock FedML 71 9 0 26 Jul 2022
Technical Report: Assisting Backdoor Federated Learning with Whole Population Knowledge Alignment Tian Liu Xueyang Hu Tao Shu AAML FedML 70 6 0 25 Jul 2022
Accelerating Vertical Federated Learning Dongqi Cai Tao Fan Yan Kang Lixin Fan Mengwei Xu Shangguang Wang Qiang Yang FedML 71 8 0 23 Jul 2022
Handling Data Heterogeneity in Federated Learning via Knowledge Distillation and Fusion Xu Zhou Xinyu Lei Cong Yang Yichun Shi Xiao Zhang Jin-Yang Shi FedML 79 0 0 23 Jul 2022
Federated Learning on Adaptively Weighted Nodes by Bilevel Optimization Yan Huang Qihang Lin N. Street Stephen Seung-Yeob Baek FedML 75 9 0 21 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 70 3 0 20 Jul 2022
FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning Yuanhao Xiong Ruochen Wang Minhao Cheng Felix X. Yu Cho-Jui Hsieh FedML DD 83 85 0 20 Jul 2022
FedNet2Net: Saving Communication and Computations in Federated Learning with Model Growing Amit Kumar Kundu Joseph Jaja FedML 79 3 0 19 Jul 2022
Over-the-Air Federated Edge Learning with Hierarchical Clustering Ozan Aygün M. Kazemi Deniz Gündüz T. Duman 67 6 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 Yue Liu Basel Alomair FedML AAML 82 10 0 19 Jul 2022
MUD-PQFed: Towards Malicious User Detection in Privacy-Preserving Quantized Federated Learning Hua Ma Qun Li Yifeng Zheng Zhi Zhang Xiaoning Liu Yan Gao S. Al-Sarawi Derek Abbott FedML 105 3 0 19 Jul 2022
DeTrust-FL: Privacy-Preserving Federated Learning in Decentralized Trust Setting Runhua Xu Nathalie Baracaldo Yi Zhou Ali Anwar S. Kadhe Heiko Ludwig FedML 81 22 0 15 Jul 2022
Accelerated Federated Learning with Decoupled Adaptive Optimization Jiayin Jin Jiaxiang Ren Yang Zhou Lingjuan Lyu Ji Liu Dejing Dou AI4CE FedML 85 52 0 14 Jul 2022
Personalizing Federated Medical Image Segmentation via Local Calibration Jiacheng Wang Yueming Jin Liansheng Wang FedML 80 33 0 11 Jul 2022
FedSS: Federated Learning with Smart Selection of clients Ammar Tahir Yongzhou Chen Prashanti Nilayam FedML 53 5 0 10 Jul 2022
Mechanisms that Incentivize Data Sharing in Federated Learning Sai Praneeth Karimireddy Wenshuo Guo Michael I. Jordan FedML 98 50 0 10 Jul 2022
Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning Grigory Malinovsky Kai Yi Peter Richtárik FedML 105 39 0 09 Jul 2022
Federated Learning with Quantum Secure Aggregation Yichi Zhang Chao Zhang Cai Zhang Lixin Fan B. Zeng Qiang Yang FedML 83 28 0 09 Jul 2022
Smart Multi-tenant Federated Learning Weiming Zhuang Yonggang Wen Shuai Zhang FedML 104 2 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 111 9 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 109 20 0 08 Jul 2022
Backdoor Attack is a Devil in Federated GAN-based Medical Image Synthesis Ruinan Jin Xiaoxiao Li AAML FedML MedIm 112 13 0 02 Jul 2022
Visual Transformer Meets CutMix for Improved Accuracy, Communication Efficiency, and Data Privacy in Split Learning Sihun Baek Jihong Park Praneeth Vepakomma Ramesh Raskar M. Bennis Seong-Lyun Kim FedML 80 10 0 01 Jul 2022
Fleet-DAgger: Interactive Robot Fleet Learning with Scalable Human Supervision Ryan Hoque Lawrence Yunliang Chen Satvik Sharma K. Dharmarajan Brijen Thananjeyan Pieter Abbeel Ken Goldberg 192 32 0 29 Jun 2022
Fundamental Limits of Communication Efficiency for Model Aggregation in Distributed Learning: A Rate-Distortion Approach Naifu Zhang M. Tao Jia Wang Fan Xu 63 14 0 28 Jun 2022
APPFLChain: A Privacy Protection Distributed Artificial-Intelligence Architecture Based on Federated Learning and Consortium Blockchain Jun-Teng Yang Wen-Yuan Chen Che-Hua Li S. Huang Hsiao-Chun Wu 87 2 0 26 Jun 2022
MULTI-FLGANs: Multi-Distributed Adversarial Networks for Non-IID distribution Akash Amalan Rui Wang Yan Qiao E. Panaousis K. Liang FedML OOD 65 2 0 24 Jun 2022
Advancing Blockchain-based Federated Learning through Verifiable Off-chain Computations Jonathan Heiss Elias Grunewald Nikolas Haimerl Stefan Schulte Stefan Tai FedML 50 30 0 23 Jun 2022
A Framework for Understanding Model Extraction Attack and Defense Xun Xian Min-Fong Hong Jie Ding SILM MIACV FedML 41 2 0 23 Jun 2022
Federated Deep Reinforcement Learning for Open RAN Slicing in 6G Networks Amine Abouaomar Afaf Taik Abderrahime Filali Soumaya Cherkaoui 46 48 0 22 Jun 2022
FedorAS: Federated Architecture Search under system heterogeneity Łukasz Dudziak Stefanos Laskaridis Javier Fernandez-Marques FedML 128 7 0 22 Jun 2022
Multi-party Secure Broad Learning System for Privacy Preserving Xiaolin Cao Changdong Wang Jianchang Lai Qiong Huang C.L.Philip Chen 41 18 0 22 Jun 2022
FLaaS: Cross-App On-device Federated Learning in Mobile Environments Kleomenis Katevas Diego Perino N. Kourtellis FedML 65 1 0 22 Jun 2022
sqSGD: Locally Private and Communication Efficient Federated Learning Yan Feng Tao Xiong Ruofan Wu Lingjuan Lv Leilei Shi FedML 95 2 0 21 Jun 2022
Shifted Compression Framework: Generalizations and Improvements Egor Shulgin Peter Richtárik 65 6 0 21 Jun 2022
Model Joins: Enabling Analytics Over Joins of Absent Big Tables A. Shanghooshabad Peter Triantafillou 28 0 0 21 Jun 2022
SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression Zhize Li Haoyu Zhao Boyue Li Yuejie Chi FedML 83 41 0 20 Jun 2022
Communication-Efficient Federated Learning With Data and Client Heterogeneity Hossein Zakerinia Shayan Talaei Giorgi Nadiradze Dan Alistarh FedML 146 9 0 20 Jun 2022
Compression and Data Similarity: Combination of Two Techniques for Communication-Efficient Solving of Distributed Variational Inequalities Aleksandr Beznosikov Alexander Gasnikov 60 10 0 19 Jun 2022
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning Anis Elgabli Chaouki Ben Issaid Amrit Singh Bedi K. Rajawat M. Bennis Vaneet Aggarwal FedML 73 34 0 17 Jun 2022
BlindFL: Vertical Federated Machine Learning without Peeking into Your Data Fangcheng Fu Huanran Xue Yong Cheng Yangyu Tao Tengjiao Wang FedML 124 60 0 16 Jun 2022
Federated Optimization Algorithms with Random Reshuffling and Gradient Compression Abdurakhmon Sadiev Grigory Malinovsky Eduard A. Gorbunov Igor Sokolov Ahmed Khaled Konstantin Burlachenko Peter Richtárik FedML 87 21 0 14 Jun 2022
Anchor Sampling for Federated Learning with Partial Client Participation Feijie Wu Song Guo Zhihao Qu Shiqi He Ziming Liu Jing Gao FedML 89 14 0 13 Jun 2022
Communication-Efficient Federated Learning over MIMO Multiple Access Channels Yo-Seb Jeon Mohammad Mohammadi Amiri Namyoon Lee 52 18 0 12 Jun 2022
Federated Offline Reinforcement Learning D. Zhou Yufeng Zhang Aaron Sonabend-W Zhaoran Wang Junwei Lu Tianxi Cai OffRL 95 13 0 11 Jun 2022
Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning Shenghui Li Edith C.H. Ngai Fanghua Ye Li Ju Tianru Zhang Thiemo Voigt AAML FedML 101 13 0 10 Jun 2022
Hierarchical Federated Learning with Privacy Varun Chandrasekaran Suman Banerjee Diego Perino N. Kourtellis FedML 82 8 0 10 Jun 2022
On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond Xiao-Tong Yuan P. Li FedML 83 62 0 10 Jun 2022