Decentralized Deep Learning for Multi-Access Edge Computing: A Survey on Communication Efficiency and Trustworthiness

30 July 2021

Papers citing "Decentralized Deep Learning for Multi-Access Edge Computing: A Survey on Communication Efficiency and Trustworthiness"

11 / 11 papers shown

Title
Swarm Learning: A Survey of Concepts, Applications, and Trends Elham Shammar Xiaohui Cui M. A. Al-qaness 32 2 0 01 May 2024
DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models Nastaran Saadati Minh Pham Nasla Saleem Joshua R. Waite Aditya Balu Zhanhong Jiang Chinmay Hegde Soumik Sarkar MoMe 45 1 0 11 Apr 2024
Mitigating Cross-client GANs-based Attack in Federated Learning Hong Huang Xinyu Lei Tao Xiang AAML 52 1 0 25 Jul 2023
Meta Neural Coordination Yuwei Sun OOD 19 0 0 20 May 2023
Instance-Level Trojan Attacks on Visual Question Answering via Adversarial Learning in Neuron Activation Space Yuwei Sun H. Ochiai Jun Sakuma AAML 18 6 0 02 Apr 2023
Meta Learning in Decentralized Neural Networks: Towards More General AI Yuwei Sun OOD 19 1 0 02 Feb 2023
Bidirectional Contrastive Split Learning for Visual Question Answering Yuwei Sun H. Ochiai 16 2 0 24 Aug 2022
Feature Distribution Matching for Federated Domain Generalization Yuwei Sun Ng Chong H. Ochiai OOD 15 30 0 22 Mar 2022
Semi-Targeted Model Poisoning Attack on Federated Learning via Backward Error Analysis Yuwei Sun H. Ochiai Jun Sakuma AAML FedML 37 15 0 22 Mar 2022
Federated Phish Bowl: LSTM-Based Decentralized Phishing Email Detection Yuwei Sun Ng Chong H. Ochiai FedML 21 6 0 12 Oct 2021
Model-Reuse Attacks on Deep Learning Systems Yujie Ji Xinyang Zhang S. Ji Xiapu Luo Ting Wang SILM AAML 134 186 0 02 Dec 2018