Federated Learning: Strategies for Improving Communication Efficiency

18 October 2016

Dave Bacon

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

50 / 1,850 papers shown

Title
Learning From Drift: Federated Learning on Non-IID Data via Drift Regularization Yeachan Kim Bonggun Shin FedML 32 0 0 13 Sep 2023
Energy-Aware Federated Learning with Distributed User Sampling and Multichannel ALOHA Rafael Valente da Silva O. A. López R. D. Souza FedML 34 4 0 12 Sep 2023
Towards Federated Learning Under Resource Constraints via Layer-wise Training and Depth Dropout Pengfei Guo Warren Morningstar Raviteja Vemulapalli K. Singhal Vishal M. Patel Philip Mansfield FedML 32 3 0 11 Sep 2023
Privacy Preserving Federated Learning with Convolutional Variational Bottlenecks Daniel Scheliga Patrick Mäder M. Seeland FedML AAML 31 5 0 08 Sep 2023
Domain Adaptation for Efficiently Fine-tuning Vision Transformer with Encrypted Images Teru Nagamori Sayaka Shiota Hitoshi Kiya 37 1 0 05 Sep 2023
Safe and Robust Watermark Injection with a Single OoD Image Shuyang Yu Junyuan Hong Haobo Zhang Haotao Wang Zhangyang Wang Jiayu Zhou WIGM 46 3 0 04 Sep 2023
PFL-LSTR: A privacy-preserving framework for driver intention inference based on in-vehicle and out-vehicle information Runjia Du Pei Li Sikai Chen S. Labi 10 0 0 02 Sep 2023
Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond Filippo Galli Kangsoo Jung Sayan Biswas C. Palamidessi Tommaso Cucinotta FedML 31 10 0 01 Sep 2023
Improving Multiple Sclerosis Lesion Segmentation Across Clinical Sites: A Federated Learning Approach with Noise-Resilient Training Lei Bai Dongang Wang Michael Barnett Mariano Cabezas Weidong (Tom) Cai ... Ryan Sullivan Hengrui Wang Geng Zhan Wanli Ouyang Chenyu Wang 27 7 0 31 Aug 2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications Yi Zhang Yuying Zhao Zhaoqing Li Xueqi Cheng Yu-Chiang Frank Wang Olivera Kotevska Philip S. Yu Tyler Derr 31 10 0 31 Aug 2023
Differentially Private Aggregation via Imperfect Shuffling Badih Ghazi Ravi Kumar Pasin Manurangsi Jelani Nelson Samson Zhou FedML 30 1 0 28 Aug 2023
REFT: Resource-Efficient Federated Training Framework for Heterogeneous and Resource-Constrained Environments Humaid Ahmed Desai Amr B. Hilal Hoda Eldardiry 29 0 0 25 Aug 2023
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning Gihun Lee Minchan Jeong Sangmook Kim Jaehoon Oh Se-Young Yun FedML 31 8 0 24 Aug 2023
Unsupervised anomalies detection in IIoT edge devices networks using federated learning Niyomukiza Thamar Hossam Sharara FedML 31 0 0 23 Aug 2023
Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks Wenbin Zhai Feng Wang L. Liu Youwei Ding Wanyi Lu 32 0 0 23 Aug 2023
GradientCoin: A Peer-to-Peer Decentralized Large Language Models Yeqi Gao Zhao Song Junze Yin 41 18 0 21 Aug 2023
Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges Vishnu Pandi Chellapandi Liangqi Yuan Christopher G. Brinton Stanislaw H. .Zak Ziran Wang FedML 43 77 0 21 Aug 2023
Optimal Resource Allocation for U-Shaped Parallel Split Learning Song Lyu Zhengyi Lin Guanqiao Qu Xianhao Chen Xiaoxia Huang P. Li 33 28 0 17 Aug 2023
Stochastic Controlled Averaging for Federated Learning with Communication Compression Xinmeng Huang Ping Li Xiaoyun Li 43 199 0 16 Aug 2023
Block-Wise Encryption for Reliable Vision Transformer models Hitoshi Kiya Ryota Iijima Teru Nagamori 33 1 0 15 Aug 2023
Data-Efficient Energy-Aware Participant Selection for UAV-Enabled Federated Learning Youssra Cheriguene Wael Jaafar Kerrache Chaker Abdelaziz H. Yanikomeroglu Fatima Zohra Bousbaa N. Lagraa FedML 44 1 0 14 Aug 2023
SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models Sara Babakniya A. Elkordy Yahya H. Ezzeldin Qingfeng Liu Kee-Bong Song Mostafa El-Khamy Salman Avestimehr 27 57 0 12 Aug 2023
FLShield: A Validation Based Federated Learning Framework to Defend Against Poisoning Attacks Ehsanul Kabir Zeyu Song Md. Rafi Ur Rashid Shagufta Mehnaz 32 7 0 10 Aug 2023
Pelta: Shielding Transformers to Mitigate Evasion Attacks in Federated Learning Simon Queyrut Yérom-David Bromberg V. Schiavoni FedML AAML 14 1 0 08 Aug 2023
Backdoor Federated Learning by Poisoning Backdoor-Critical Layers Haomin Zhuang Mingxian Yu Hao Wang Yang Hua Jian Li Xu Yuan FedML 30 10 0 08 Aug 2023
Label Inference Attacks against Node-level Vertical Federated GNNs Marco Arazzi Mauro Conti Stefanos Koffas Marina Krček Antonino Nocera S. Picek Jing Xu FedML AAML 26 1 0 04 Aug 2023
Computation Offloading with Multiple Agents in Edge-Computing-Supported IoT Shihao Shen Yiwen Han Xiaofei Wang Yan Wang OffRL 18 79 0 01 Aug 2023
Compressed Private Aggregation for Scalable and Robust Federated Learning over Massive Networks Natalie Lang Nir Shlezinger Rafael G. L. DÓliveira S. E. Rouayheb FedML 82 4 0 01 Aug 2023
Detecting Morphing Attacks via Continual Incremental Training Lorenzo Pellegrini Guido Borghi Annalisa Franco Davide Maltoni CLL 55 3 0 27 Jul 2023
Federated Split Learning with Only Positive Labels for resource-constrained IoT environment Praveen Joshi Chandra Thapa Mohammed Hasanuzzaman T. Scully Haithem Afli FedML 31 1 0 25 Jul 2023
Towards Vertical Privacy-Preserving Symbolic Regression via Secure Multiparty Computation Du Nguyen Duy M. Affenzeller Ramin Nikzad‐Langerodi 46 3 0 22 Jul 2023
MAS: Towards Resource-Efficient Federated Multiple-Task Learning Weiming Zhuang Yonggang Wen Lingjuan Lyu Shuai Zhang FedML 30 15 0 21 Jul 2023
An In-Depth Evaluation of Federated Learning on Biomedical Natural Language Processing Le Peng Gaoxiang Luo Sicheng Zhou Jiandong Chen Rui Zhang Zi-Cheng Xu Ju Sun 30 3 0 20 Jul 2023
From Adaptive Query Release to Machine Unlearning Enayat Ullah R. Arora MU 30 4 0 20 Jul 2023
Communication-Efficient Federated Learning over Capacity-Limited Wireless Networks Jae-Bok Yun Yong-Nam Oh Yo-Seb Jeon H. Vincent Poor 28 2 0 20 Jul 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 44 250 0 20 Jul 2023
Federated Learning for Computationally-Constrained Heterogeneous Devices: A Survey Kilian Pfeiffer Martin Rapp R. Khalili J. Henkel FedML 22 66 0 18 Jul 2023
Optimal Compression of Unit Norm Vectors in the High Distortion Regime He Zhu Avishek Ghosh A. Mazumdar 19 3 0 16 Jul 2023
MGit: A Model Versioning and Management System Wei Hao Daniel Mendoza Rafael Ferreira da Silva Deepak Narayanan Amar Phanishayee VLM 27 1 0 14 Jul 2023
Improved Convergence Analysis and SNR Control Strategies for Federated Learning in the Presence of Noise Antesh Upadhyay Abolfazl Hashemi 49 9 0 14 Jul 2023
FedBIAD: Communication-Efficient and Accuracy-Guaranteed Federated Learning with Bayesian Inference-Based Adaptive Dropout Jingjing Xue Min Liu Sheng Sun Yuwei Wang Hui Jiang Xue Jiang 26 7 0 14 Jul 2023
Tackling Computational Heterogeneity in FL: A Few Theoretical Insights Adnane Mansour Gaia Carenini Alexandre Duplessis FedML 26 0 0 12 Jul 2023
Benchmarking Algorithms for Federated Domain Generalization Ruqi Bai S. Bagchi David I. Inouye FedML 40 12 0 11 Jul 2023
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives Moming Duan Qinbin Li Linshan Jiang Bingsheng He FedML 39 4 0 05 Jul 2023
VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks Zhaomin Wu Junyi Hou Bin He FedML 61 5 0 05 Jul 2023
FedHIL: Heterogeneity Resilient Federated Learning for Robust Indoor Localization with Mobile Devices Danish Gufran S. Pasricha 43 19 0 04 Jul 2023
Don't Memorize; Mimic The Past: Federated Class Incremental Learning Without Episodic Memory Sara Babakniya Zalan Fabian Chaoyang He Mahdi Soltanolkotabi Salman Avestimehr FedML 32 2 0 02 Jul 2023
A Survey on Blockchain-Based Federated Learning and Data Privacy Bipin Chhetri Saroj Gopali Rukayat Olapojoye Samin Dehbashi A. Namin 19 10 0 29 Jun 2023
Momentum Benefits Non-IID Federated Learning Simply and Provably Ziheng Cheng Xinmeng Huang Pengfei Wu Kun Yuan FedML 35 17 0 28 Jun 2023
Towards a Better Theoretical Understanding of Independent Subnetwork Training Egor Shulgin Peter Richtárik AI4CE 42 6 0 28 Jun 2023