FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile Robots

11 January 2021

Papers citing "FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile Robots"

23 / 23 papers shown

Title
TriplePlay: Enhancing Federated Learning with CLIP for Non-IID Data and Resource Efficiency Ahmed Imteaj Md Zarif Hossain Saika Zaman Abdur R. Shahid VLM 21 1 0 09 Sep 2024
Combining Federated Learning and Control: A Survey Jakob Weber Markus Gurtner A. Lobe Adrian Trachte Andreas Kugi FedML AI4CE 31 2 0 12 Jul 2024
Context-Aware Orchestration of Energy-Efficient Gossip Learning Schemes Mina Aghaei Dinani Adrian Holzer Hung Nguyen M. Marsan Gianluca Rizzo 30 0 0 18 Apr 2024
Dependable Distributed Training of Compressed Machine Learning Models F. Malandrino G. Giacomo Marco Levorato C. Chiasserini 37 0 0 22 Feb 2024
Towards Reliable Participation in UAV-Enabled Federated Edge Learning on Non-IID Data Youssra Cheriguene Wael Jaafar H. Yanikomeroglu C. A. Kerrache 28 7 0 16 Dec 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 36 9 0 26 Sep 2023
Federated Learning for Computationally-Constrained Heterogeneous Devices: A Survey Kilian Pfeiffer Martin Rapp R. Khalili J. Henkel FedML 19 63 0 18 Jul 2023
Trustworthy Federated Learning: A Survey A. Tariq M. Serhani F. Sallabi Tariq Qayyum E. Barka K. Shuaib FedML 32 9 0 19 May 2023
FedAVO: Improving Communication Efficiency in Federated Learning with African Vultures Optimizer Md Zarif Hossain Ahmed Imteaj FedML 29 5 0 02 May 2023
A Survey on Secure and Private Federated Learning Using Blockchain: Theory and Application in Resource-constrained Computing Ervin Moore Ahmed Imteaj S. Rezapour M. Amini 33 18 0 24 Mar 2023
Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks Xiaofan Yu L. Cherkasova Hars Vardhan Quanling Zhao Emily Ekaireb Xiyuan Zhang A. Mazumdar T. Rosing 17 24 0 17 Jan 2023
Unexpectedly Useful: Convergence Bounds And Real-World Distributed Learning F. Malandrino C. Chiasserini FedML 14 0 0 05 Dec 2022
Matching DNN Compression and Cooperative Training with Resources and Data Availability F. Malandrino G. Giacomo Armin Karamzade Marco Levorato C. Chiasserini 37 9 0 02 Dec 2022
Latency Aware Semi-synchronous Client Selection and Model Aggregation for Wireless Federated Learning Liang Yu Xiang Sun Rana Albelaihi Chen Yi FedML 32 13 0 19 Oct 2022
A Survey on Heterogeneous Federated Learning Dashan Gao Xin Yao Qian Yang FedML 27 58 0 10 Oct 2022
Towards Efficient Communications in Federated Learning: A Contemporary Survey Zihao Zhao Yuzhu Mao Yang Liu Linqi Song Ouyang Ye Xinlei Chen Wenbo Ding FedML 51 59 0 02 Aug 2022
Pisces: Efficient Federated Learning via Guided Asynchronous Training Zhifeng Jiang Wei Wang Baochun Li Bo-wen Li FedML 21 24 0 18 Jun 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
FedLGA: Towards System-Heterogeneity of Federated Learning via Local Gradient Approximation Xingyu Li Zhe Qu Bo Tang Zhuo Lu FedML 33 25 0 22 Dec 2021
Asynchronous Federated Learning on Heterogeneous Devices: A Survey Chenhao Xu Youyang Qu Yong Xiang Longxiang Gao FedML 101 241 0 09 Sep 2021
Towards open and expandable cognitive AI architectures for large-scale multi-agent human-robot collaborative learning Georgios Th. Papadopoulos M. Antona C. Stephanidis AI4CE 22 24 0 15 Dec 2020
FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning Suyu Ge Fangzhao Wu Chuhan Wu Tao Qi Yongfeng Huang Xing Xie 158 56 0 20 Mar 2020
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 202 434 0 04 Mar 2020