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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
Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning Experiences Fred Hohman Mary Beth Kery Donghao Ren Dominik Moritz 113 19 0 06 Oct 2023
Fundamental Limits of Distributed Optimization over Multiple Access Channel Shubham K. Jha 79 1 0 05 Oct 2023
Enhanced Federated Optimization: Adaptive Unbiased Sampling with Reduced Variance Dun Zeng Zenglin Xu Yu Pan Xu Luo Qifan Wang Xiaoying Tang FedML 76 1 0 04 Oct 2023
Adversarial Client Detection via Non-parametric Subspace Monitoring in the Internet of Federated Things Xianjian Xie Xiaochen Xian Dan Li Andi Wang 60 0 0 02 Oct 2023
FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models Jingwei Sun Ziyue Xu Hongxu Yin Dong Yang Daguang Xu Yiran Chen Holger R. Roth VLM 144 26 0 02 Oct 2023
Stability and Generalization for Minibatch SGD and Local SGD Yunwen Lei Tao Sun Mingrui Liu 97 4 0 02 Oct 2023
Enabling Differentially Private Federated Learning for Speech Recognition: Benchmarks, Adaptive Optimizers and Gradient Clipping Martin Pelikan Sheikh Shams Azam Vitaly Feldman Jan Honza Silovsky Kunal Talwar Christopher G. Brinton Tatiana Likhomanenko 113 8 0 29 Sep 2023
Forgetting Private Textual Sequences in Language Models via Leave-One-Out Ensemble Zhe Liu Ozlem Kalinli MU KELM 90 2 0 28 Sep 2023
Federated Deep Equilibrium Learning: A Compact Shared Representation for Edge Communication Efficiency Long Tan Le Tuan Dung Nguyen Tung-Anh Nguyen Choong Seon Hong Nguyen H. Tran FedML 85 0 0 27 Sep 2023
FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices using a Computing Power Aware Scheduler Zilinghan Li Pranshu Chaturvedi Shilan He Han-qiu Chen Gagandeep Singh Volodymyr V. Kindratenko Eliu A. Huerta Kibaek Kim Ravi K. Madduri FedML 86 12 0 26 Sep 2023
PA-iMFL: Communication-Efficient Privacy Amplification Method against Data Reconstruction Attack in Improved Multi-Layer Federated Learning Jianhua Wang Xiaolin Chang Jelena Mivsić Vojislav B. Mivsić Zhi Chen Junchao Fan 70 3 0 25 Sep 2023
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning Kangyang Luo Shuai Wang Y. Fu Xiang Li Yunshi Lan Minghui Gao FedML 93 29 0 24 Sep 2023
CORE: Common Random Reconstruction for Distributed Optimization with Provable Low Communication Complexity Pengyun Yue Hanzheng Zhao Cong Fang Di He Liwei Wang Zhouchen Lin Song-Chun Zhu 87 1 0 23 Sep 2023
Importance of Smoothness Induced by Optimizers in FL4ASR: Towards Understanding Federated Learning for End-to-End ASR Sheikh Shams Azam Tatiana Likhomanenko Martin Pelikan Jan Honza Silovsky 77 7 0 22 Sep 2023
Toward efficient resource utilization at edge nodes in federated learning Sadi Alawadi Addi Ait-Mlouk Salman Toor Andreas Hellander FedML 74 6 0 19 Sep 2023
FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning T. Shaik Xiaohui Tao Lin Li Haoran Xie Taotao Cai Xiaofeng Zhu Qingyuan Li MU 101 16 0 19 Sep 2023
Mitigating Adversarial Attacks in Federated Learning with Trusted Execution Environments Simon Queyrut V. Schiavoni Pascal Felber AAML FedML 74 10 0 13 Sep 2023
Learning From Drift: Federated Learning on Non-IID Data via Drift Regularization Yeachan Kim Bonggun Shin FedML 112 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 104 5 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 87 3 0 11 Sep 2023
Privacy Preserving Federated Learning with Convolutional Variational Bottlenecks Daniel Scheliga Patrick Mäder M. Seeland FedML AAML 81 5 0 08 Sep 2023
Domain Adaptation for Efficiently Fine-tuning Vision Transformer with Encrypted Images Teru Nagamori Sayaka Shiota Hitoshi Kiya 73 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 85 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 Samuel Labi 36 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 71 11 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 70 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 Wang Olivera Kotevska Philip S. Yu Hanyu Wang 123 13 0 31 Aug 2023
Differentially Private Aggregation via Imperfect Shuffling Badih Ghazi Ravi Kumar Pasin Manurangsi Jelani Nelson Samson Zhou FedML 109 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 67 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 92 9 0 24 Aug 2023
Unsupervised anomalies detection in IIoT edge devices networks using federated learning Niyomukiza Thamar Hossam Sharara FedML 71 0 0 23 Aug 2023
Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks Wenbin Zhai Feng Wang Lu Liu Youwei Ding Wanyi Lu 84 0 0 23 Aug 2023
GradientCoin: A Peer-to-Peer Decentralized Large Language Models Yeqi Gao Zhao Song Junze Yin 89 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 132 88 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 89 29 0 17 Aug 2023
Stochastic Controlled Averaging for Federated Learning with Communication Compression Xinmeng Huang Ping Li Xiaoyun Li 119 211 0 16 Aug 2023
Block-Wise Encryption for Reliable Vision Transformer models Hitoshi Kiya Ryota Iijima Teru Nagamori 99 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 70 2 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 76 73 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 66 7 0 10 Aug 2023
Pelta: Shielding Transformers to Mitigate Evasion Attacks in Federated Learning Simon Queyrut Yérom-David Bromberg V. Schiavoni FedML AAML 81 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 61 15 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 62 1 0 04 Aug 2023
Computation Offloading with Multiple Agents in Edge-Computing-Supported IoT Shihao Shen Yiwen Han Xiaofei Wang Yan Wang OffRL 42 80 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 164 4 0 01 Aug 2023
Detecting Morphing Attacks via Continual Incremental Training Lorenzo Pellegrini Guido Borghi Annalisa Franco Davide Maltoni CLL 93 4 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 65 1 0 25 Jul 2023
Towards Vertical Privacy-Preserving Symbolic Regression via Secure Multiparty Computation Du Nguyen Duy M. Affenzeller Ramin Nikzad‐Langerodi 69 3 0 22 Jul 2023
MAS: Towards Resource-Efficient Federated Multiple-Task Learning Weiming Zhuang Yonggang Wen Lingjuan Lyu Shuai Zhang FedML 71 16 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 63 3 0 20 Jul 2023