A Federated Learning Aggregation Algorithm for Pervasive Computing: Evaluation and Comparison

19 October 2021

Papers citing "A Federated Learning Aggregation Algorithm for Pervasive Computing: Evaluation and Comparison"

29 / 29 papers shown

Title
Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification Nishant S. Gaikwad Lucas Heublein N. Raichur Tobias Feigl Christopher Mutschler Felix Ott 48 5 0 31 Dec 2024
Concurrent vertical and horizontal federated learning with fuzzy cognitive maps Jose L. Salmeron Irina Arévalo FedML 86 2 0 17 Dec 2024
FedAli: Personalized Federated Learning with Aligned Prototypes through Optimal Transport Sannara Ek Kaile Wang François Portet P. Lalanda Jiannong Cao FedML 38 0 0 15 Nov 2024
CDFL: Efficient Federated Human Activity Recognition using Contrastive Learning and Deep Clustering Ensieh Khazaei Alireza Esmaeilzehi Bilal Taha Dimitrios Hatzinakos FedML 22 1 0 17 Jul 2024
Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges Yanli Li Zhongliang Guo Nan Yang Huaming Chen Dong Yuan Weiping Ding FedML 34 2 0 09 Jul 2024
Federated Computing -- Survey on Building Blocks, Extensions and Systems René Schwermer R. Mayer Hans-Arno Jacobsen FedML 35 1 0 03 Apr 2024
A review of federated learning in renewable energy applications: Potential, challenges, and future directions Albin Grataloup Stefan Jonas Angela Meyer 43 3 0 18 Dec 2023
Evaluating Multi-Global Server Architecture for Federated Learning Asfia Kawnine Hung Cao Atah Nuh Mih Monica Wachowicz 16 0 0 26 Nov 2023
FLASH-RL: Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning Sofiane Bouaziz Hadjer Benmeziane Youcef Imine Leila Hamdad Smail Niar Hamza Ouarnoughi 23 2 0 12 Nov 2023
Federated Learning on Edge Sensing Devices: A Review Berrenur Saylam Ozlem Durmaz Incel 23 1 0 02 Nov 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 28 13 0 19 Sep 2023
SoK: Assessing the State of Applied Federated Machine Learning Tobias Müller Maximilian Stäbler Hugo Gascón Frank Köster Florian Matthes 26 0 0 03 Aug 2023
Tackling Computational Heterogeneity in FL: A Few Theoretical Insights Adnane Mansour Gaia Carenini Alexandre Duplessis FedML 20 0 0 12 Jul 2023
FedMultimodal: A Benchmark For Multimodal Federated Learning Tiantian Feng Digbalay Bose Tuo Zhang Rajat Hebbar Anil Ramakrishna Rahul Gupta Mi Zhang Salman Avestimehr Shrikanth Narayanan 32 48 0 15 Jun 2023
Keep It Simple: Fault Tolerance Evaluation of Federated Learning with Unreliable Clients Victoria Huang S. Sohail Michael Mayo T. Lorido-Botran Mark Rodrigues Chris Anderson Melanie Ooi FedML 18 2 0 16 May 2023
A Survey of Federated Evaluation in Federated Learning Behnaz Soltani Yipeng Zhou Venus Haghighi John C. S. Lui FedML 33 12 0 14 May 2023
Zone-based Federated Learning for Mobile Sensing Data Xiaopeng Jiang Thinh On Nhathai Phan Hessamaldin Mohammadi Vijaya Datta Mayyuri An M. Chen Ruoming Jin Cristian Borcea FedML 24 6 0 10 Mar 2023
Client-specific Property Inference against Secure Aggregation in Federated Learning Raouf Kerkouche G. Ács Mario Fritz FedML 60 9 0 07 Mar 2023
Scalable Collaborative Learning via Representation Sharing Frédéric Berdoz Abhishek Singh Martin Jaggi Ramesh Raskar FedML 22 3 0 20 Nov 2022
Evaluation and comparison of federated learning algorithms for Human Activity Recognition on smartphones Sannara Ek François Portet P. Lalanda Germán Vega FedML 28 11 0 30 Oct 2022
FedStack: Personalized activity monitoring using stacked federated learning T. Shaik Xiaohui Tao Niall Higgins R. Gururajan Yuefeng Li Xujuan Zhou Usha R. Acharya FedML 32 61 0 27 Sep 2022
Federated Self-Supervised Learning in Heterogeneous Settings: Limits of a Baseline Approach on HAR Sannara Ek Romain Rombourg François Portet P. Lalanda FedML SSL 42 5 0 17 Jul 2022
Federated Continual Learning through distillation in pervasive computing Anastasiia Usmanova François Portet P. Lalanda Germán Vega FedML 12 8 0 17 Jul 2022
Federated Learning and catastrophic forgetting in pervasive computing: demonstration in HAR domain Anastasiia Usmanova François Portet P. Lalanda Germán Vega FedML 20 3 0 17 Jul 2022
FedControl: When Control Theory Meets Federated Learning Adnane Mansour Gaia Carenini Alexandre Duplessis D. Naccache FedML 19 2 0 27 May 2022
Federated Learning Aggregation: New Robust Algorithms with Guarantees Adnane Mansour Gaia Carenini Alexandre Duplessis D. Naccache OOD FedML 71 10 0 22 May 2022
Adaptive Aggregation For Federated Learning K. R. Jayaram Vinod Muthusamy Gegi Thomas Ashish Verma Mark Purcell FedML 25 16 0 23 Mar 2022
A distillation-based approach integrating continual learning and federated learning for pervasive services Anastasiia Usmanova Franccois Portet P. Lalanda Germán Vega FedML 13 53 0 09 Sep 2021
Personalized Semi-Supervised Federated Learning for Human Activity Recognition Riccardo Presotto Gabriele Civitarese Claudio Bettini 26 65 0 15 Apr 2021