Distributed learning of deep neural network over multiple agents

14 October 2018

Papers citing "Distributed learning of deep neural network over multiple agents"

50 / 85 papers shown

Title
A Taxonomy of Attacks and Defenses in Split Learning Aqsa Shabbir Halil Ibrahim Kanpak Alptekin Küpçü Sinem Sav 48 0 0 09 May 2025
Split-n-Chain: Privacy-Preserving Multi-Node Split Learning with Blockchain-Based Auditability Mukesh Sahani Binanda Sengupta FedML 44 0 0 10 Mar 2025
Heterogeneity Matters even More in Distributed Learning: Study from Generalization Perspective Masoud Kavian Romain Chor Milad Sefidgaran Abdellatif Zaidi FedML 50 1 0 03 Mar 2025
Towards Active Participant Centric Vertical Federated Learning: Some Representations May Be All You Need Jon Irureta Jon Imaz Aizea Lojo Javier Fernandez-Marques Marco González Iñigo Perona FedML 98 1 0 20 Feb 2025
Efficient Split Learning LSTM Models for FPGA-based Edge IoT Devices Romina Soledad Molina Vukan Ninkovic D. Vukobratović Maria Liz Crespo Marco Zennaro 45 0 0 12 Feb 2025
Data Overvaluation Attack and Truthful Data Valuation Shuyuan Zheng Sudong Cai Chuan Xiao Yang Cao Jianbin Qin Masatoshi Yoshikawa Makoto Onizuka TDI AAML 70 0 0 01 Feb 2025
PeFLL: Personalized Federated Learning by Learning to Learn Jonathan Scott Hossein Zakerinia Christoph H. Lampert FedML 100 9 0 17 Jan 2025
SafeSplit: A Novel Defense Against Client-Side Backdoor Attacks in Split Learning (Full Version) Phillip Rieger Alessandro Pegoraro Kavita Kumari Tigist Abera Jonathan Knauer A. Sadeghi AAML 56 2 0 11 Jan 2025
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey Guanqiao Qu Qiyuan Chen Wei Wei Zheng Lin Xianhao Chen Kaibin Huang 42 43 0 09 Jul 2024
Adaptive Layer Splitting for Wireless LLM Inference in Edge Computing: A Model-Based Reinforcement Learning Approach Yuxuan Chen Rongpeng Li Xiaoxue Yu Zhifeng Zhao Honggang Zhang 42 9 0 03 Jun 2024
Snake Learning: A Communication- and Computation-Efficient Distributed Learning Framework for 6G Xiaoxue Yu Xingfu Yi Rongpeng Li Fei Wang Chenghui Peng Zhifeng Zhao Honggang Zhang 74 1 0 06 May 2024
ESFL: Efficient Split Federated Learning over Resource-Constrained Heterogeneous Wireless Devices Guangyu Zhu Yiqin Deng Xianhao Chen Haixia Zhang Yuguang Fang Tan F. Wong FedML 21 6 0 24 Feb 2024
Convergence Rate Maximization for Split Learning-based Control of EMG Prosthetic Devices Matea Marinova D. Denkovski H. Gjoreski Zoran Hadzi-Velkov V. Rakovic 20 0 0 06 Jan 2024
PrivateLoRA For Efficient Privacy Preserving LLM Yiming Wang Yu Lin Xiaodong Zeng Guannan Zhang 66 11 0 23 Nov 2023
AI-native Interconnect Framework for Integration of Large Language Model Technologies in 6G Systems Sasu Tarkoma Roberto Morabito Jaakko Sauvola 41 19 0 10 Nov 2023
Salted Inference: Enhancing Privacy while Maintaining Efficiency of Split Inference in Mobile Computing Mohammad Malekzadeh F. Kawsar FedML 27 5 0 20 Oct 2023
Love or Hate? Share or Split? Privacy-Preserving Training Using Split Learning and Homomorphic Encryption Tanveer Khan Khoa Nguyen A. Michalas Alexandros Bakas FedML 21 12 0 19 Sep 2023
Efficient Semi-Supervised Federated Learning for Heterogeneous Participants Zhipeng Sun Yang Xu Hong-Ze Xu Liusheng Huang C. Qiao FedML 25 0 0 29 Jul 2023
SplitFed resilience to packet loss: Where to split, that is the question C. Shiranthika Zahra Hafezi Kafshgari Parvaneh Saeedi Ivan V. Bajić 30 2 0 25 Jul 2023
On-Device Speaker Anonymization of Acoustic Embeddings for ASR based onFlexible Location Gradient Reversal Layer Md. Asif Jalal Pablo Peso Parada Jisi Zhang Karthikeyan P. Saravanan Mete Ozay Myoungji Han Jung In Lee Seokyeong Jung 28 1 0 25 Jul 2023
Communication-Efficient Split Learning via Adaptive Feature-Wise Compression Yong-Nam Oh Jaeho Lee Christopher G. Brinton Yo-Seb Jeon MQ 36 7 0 20 Jul 2023
Split Federated Learning: Speed up Model Training in Resource-Limited Wireless Networks Songge Zhang Wenchiao Wu Penghui Hu Shaofeng Li Ning Zhang FedML 32 3 0 30 May 2023
A Game-theoretic Framework for Privacy-preserving Federated Learning Xiaojin Zhang Lixin Fan Si-Yi Wang Wenjie Li Kai Chen Qiang Yang FedML 26 4 0 11 Apr 2023
A Privacy-Preserving Energy Theft Detection Model for Effective Demand-Response Management in Smart Grids Arwa Alromih John A. Clark P. Gope 29 3 0 23 Mar 2023
DC-CCL: Device-Cloud Collaborative Controlled Learning for Large Vision Models Yucheng Ding Chaoyue Niu Fan Wu Shaojie Tang Chengfei Lyu Guihai Chen 24 6 0 18 Mar 2023
Model Extraction Attacks on Split Federated Learning Jingtao Li Adnan Siraj Rakin Xing Chen Li Yang Zhezhi He Deliang Fan C. Chakrabarti FedML 65 5 0 13 Mar 2023
Blockchain-Empowered Trustworthy Data Sharing: Fundamentals, Applications, and Challenges Linh-TX Nguyen L. Nguyen Thong Hoang Dilum Bandara Qin Wang Qinghua Lu Xiwei Xu Liming Zhu P. Popovski Shiping Chen 37 14 0 12 Mar 2023
SplitOut: Out-of-the-Box Training-Hijacking Detection in Split Learning via Outlier Detection Ege Erdogan Unat Teksen Mehmet Salih Celiktenyildiz Alptekin Kupcu A. E. Cicek 46 4 0 16 Feb 2023
GAN-based Vertical Federated Learning for Label Protection in Binary Classification Yujin Han Leying Guan FedML 35 0 0 04 Feb 2023
Label Inference Attack against Split Learning under Regression Setting Shangyu Xie Xin Yang Yuanshun Yao Tianyi Liu Taiqing Wang Jiankai Sun FedML 29 9 0 18 Jan 2023
Privacy and Efficiency of Communications in Federated Split Learning Zongshun Zhang Andrea Pinto Valeria Turina Flavio Esposito I. Matta FedML 38 32 0 04 Jan 2023
Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics Yahao Ding Zhaohui Yang Viet Quoc Pham Zhaoyang Zhang M. Shikh-Bahaei 33 31 0 03 Jan 2023
SplitGP: Achieving Both Generalization and Personalization in Federated Learning Dong-Jun Han Do-Yeon Kim Minseok Choi Christopher G. Brinton Jaekyun Moon FedML 26 31 0 16 Dec 2022
Security Analysis of SplitFed Learning M. A. Khan Virat Shejwalkar Amir Houmansadr Fatima M. Anwar FedML 24 11 0 04 Dec 2022
PiPar: Pipeline Parallelism for Collaborative Machine Learning Zihan Zhang Philip Rodgers Peter Kilpatrick I. Spence Blesson Varghese FedML 43 3 0 01 Dec 2022
Split Learning without Local Weight Sharing to Enhance Client-side Data Privacy Ngoc Duy Pham Tran Dang Khoa Phan A. Abuadbba Yansong Gao Doan Nguyen Naveen Chilamkurti 36 5 0 01 Dec 2022
Scalable Collaborative Learning via Representation Sharing Frédéric Berdoz Abhishek Singh Martin Jaggi Ramesh Raskar FedML 27 3 0 20 Nov 2022
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges Enrique Tomás Martínez Beltrán Mario Quiles Pérez Pedro Miguel Sánchez Sánchez Sergio López Bernal Gérome Bovet M. Pérez Gregorio Martínez Pérez Alberto Huertas Celdrán FedML 40 223 0 15 Nov 2022
Enhancing Efficiency in Multidevice Federated Learning through Data Selection Fan Mo Mohammad Malekzadeh S. Chatterjee F. Kawsar Akhil Mathur FedML 38 2 0 08 Nov 2022
Deep Edge Intelligence: Architecture, Key Features, Enabling Technologies and Challenges Prabath Abeysekara Haipeng Dong •. A. K. Qin 19 0 0 24 Oct 2022
Federated and Privacy-Preserving Learning of Accounting Data in Financial Statement Audits Marco Schreyer Timur Sattarov Damian Borth MLAU 36 15 0 26 Aug 2022
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation H. Roth Ali Hatamizadeh Ziyue Xu Can Zhao Wenqi Li Andriy Myronenko Daguang Xu FedML 37 9 0 22 Aug 2022
Differentially Private Vertical Federated Clustering Zitao Li Tianhao Wang Ninghui Li FedML 36 18 0 02 Aug 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
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing Wei Xu Zhaohui Yang Derrick Wing Kwan Ng Marco Levorato Yonina C. Eldar Mérouane Debbah 28 398 0 01 Jun 2022
Federated learning: Applications, challenges and future directions Subrato Bharati Hossain Mondal Prajoy Podder V. B. Surya Prasath FedML 39 53 0 18 May 2022
Improving the Robustness of Federated Learning for Severely Imbalanced Datasets Debasrita Chakraborty Ashish Ghosh FedML 27 2 0 28 Apr 2022
Learning to Schedule Multi-Server Jobs with Fluctuated Processing Speeds Hailiang Zhao Shuiguang Deng Feiyi Chen Jianwei Yin Schahram Dustdar Albert Y. Zomaya 44 5 0 09 Apr 2022
No Free Lunch Theorem for Security and Utility in Federated Learning Xiaojin Zhang Hanlin Gu Lixin Fan Kai Chen Qiang Yang FedML 24 64 0 11 Mar 2022
Similarity-based Label Inference Attack against Training and Inference of Split Learning Junlin Liu Xinchen Lyu Qimei Cui Xiaofeng Tao FedML 35 26 0 10 Mar 2022