Federated Optimization: Distributed Machine Learning for On-Device Intelligence

8 October 2016

Papers citing "Federated Optimization: Distributed Machine Learning for On-Device Intelligence"

50 / 733 papers shown

Title
Federated Nonparametric Hypothesis Testing with Differential Privacy Constraints: Optimal Rates and Adaptive Tests T. T. Cai Abhinav Chakraborty Lasse Vuursteen FedML 40 1 0 10 Jun 2024
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks Hengzhu Liu Ping Xiong Tianqing Zhu Philip S. Yu 32 6 0 10 Jun 2024
When Swarm Learning meets energy series data: A decentralized collaborative learning design based on blockchain Lei Xu Yulong Chen Yuntian Chen Longfeng Nie Xuetao Wei Liang Xue Dongxiao Zhang 25 0 0 07 Jun 2024
Towards Federated Domain Unlearning: Verification Methodologies and Challenges Kahou Tam Kewei Xu Li Li Huazhu Fu MU 40 1 0 05 Jun 2024
A Comparative Study of Sampling Methods with Cross-Validation in the FedHome Framework Arash Ahmadi Sarah S. Sharif Yaser M. Banad FedML 24 1 0 04 Jun 2024
BACON: Bayesian Optimal Condensation Framework for Dataset Distillation Zheng Zhou Hong Zhao Guangliang Cheng Xiangtai Li Shuchang Lyu Wenquan Feng Qi Zhao DD 47 0 0 03 Jun 2024
ACCO: Accumulate While You Communicate for Communication-Overlapped Sharded LLM Training Adel Nabli Louis Fournier Pierre Erbacher Louis Serrano Eugene Belilovsky Edouard Oyallon FedML 46 1 0 03 Jun 2024
Communication-Efficient Distributed Deep Learning via Federated Dynamic Averaging Michail Theologitis Georgios Frangias Georgios Anestis V. Samoladas Antonios Deligiannakis FedML 40 0 0 31 May 2024
Optimally Improving Cooperative Learning in a Social Setting Shahrzad Haddadan Cheng Xin Jie Gao 23 0 0 31 May 2024
On Vessel Location Forecasting and the Effect of Federated Learning A. Tritsarolis N. Pelekis K. Bereta D. Zissis Y. Theodoridis FedML 27 2 0 30 May 2024
WASH: Train your Ensemble with Communication-Efficient Weight Shuffling, then Average Louis Fournier Adel Nabli Masih Aminbeidokhti M. Pedersoli Eugene Belilovsky Edouard Oyallon MoMe FedML 46 3 0 27 May 2024
Leakage-Resilient and Carbon-Neutral Aggregation Featuring the Federated AI-enabled Critical Infrastructure Zehang Deng Ruoxi Sun Minhui Xue Sheng Wen S. Çamtepe Surya Nepal Yang Xiang 39 1 0 24 May 2024
Federated Domain-Specific Knowledge Transfer on Large Language Models Using Synthetic Data Haoran Li Xinyuan Zhao Dadi Guo Hanlin Gu Ziqian Zeng Yuxing Han Yangqiu Song Lixin Fan Qiang Yang 23 1 0 23 May 2024
Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions -- A Systematic Review Md. Shahin Ali M. Ahsan Lamia Tasnim Sadia Afrin Koushik Biswas Maruf Md. Sajjad Hossain Md Mahfuz Ahmed Ronok Hashan Md. Khairul Islam Shivakumar Raman 37 5 0 22 May 2024
SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data Sakshi Choudhary Sai Aparna Aketi Kaushik Roy FedML 45 0 0 22 May 2024
Fed-Credit: Robust Federated Learning with Credibility Management Jiayan Chen Zhirong Qian Tianhui Meng Xitong Gao Tian-sheng Wang Weijia Jia FedML AAML 35 0 0 20 May 2024
Unmasking Efficiency: Learning Salient Sparse Models in Non-IID Federated Learning Riyasat Ohib Bishal Thapaliya Gintare Karolina Dziugaite Jingyu Liu Vince D. Calhoun Sergey Plis FedML 32 1 0 15 May 2024
Feature-based Federated Transfer Learning: Communication Efficiency, Robustness and Privacy Feng Wang M. C. Gursoy Senem Velipasalar 43 0 0 15 May 2024
DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptation Jie Xu Karthikeyan P. Saravanan Rogier van Dalen Haaris Mehmood David Tuckey Mete Ozay 56 5 0 10 May 2024
Privacy-Preserving Edge Federated Learning for Intelligent Mobile-Health Systems Amin Aminifar Matin Shokri Amir Aminifar FedML 31 10 0 09 May 2024
On the Relevance of Byzantine Robust Optimization Against Data Poisoning Sadegh Farhadkhani R. Guerraoui Nirupam Gupta Rafael Pinot AAML 25 1 0 01 May 2024
Blind Federated Learning without initial model Jose L. Salmeron Irina Arévalo FedML 19 7 0 24 Apr 2024
An Element-Wise Weights Aggregation Method for Federated Learning Yi Hu Hanchi Ren Chen Hu Jingjing Deng Xianghua Xie FedML 29 3 0 24 Apr 2024
Fin-Fed-OD: Federated Outlier Detection on Financial Tabular Data Dayananda Herurkar Sebastián M. Palacio Ahmed Anwar J¨orn Hees Andreas Dengel FedML 28 3 0 23 Apr 2024
Advances and Open Challenges in Federated Learning with Foundation Models Chao Ren Han Yu Hongyi Peng Xiaoli Tang Anran Li ... A. Tan Bo Zhao Xiaoxiao Li Zengxiang Li Qiang Yang FedML AIFin AI4CE 75 7 0 23 Apr 2024
Machine Learning Techniques for MRI Data Processing at Expanding Scale Taro Langner 32 0 0 22 Apr 2024
A SER-based Device Selection Mechanism in Multi-bits Quantization Federated Learning Pengcheng Sun Erwu Liu Rui Wang 19 0 0 20 Apr 2024
Intelligent Agents for Auction-based Federated Learning: A Survey Xiaoli Tang Han Yu Xiaoxiao Li Sarit Kraus FedML 30 7 0 20 Apr 2024
A Phone-based Distributed Ambient Temperature Measurement System with An Efficient Label-free Automated Training Strategy Dayin Chen Xiaodan Shi Haoran Zhang Xuan Song Dong-juan Zhang Yuntian Chen Jinyue Yan 16 1 0 16 Apr 2024
Integration of Federated Learning and Blockchain in Healthcare: A Tutorial Yahya Shahsavari O. A. Dambri Yaser Baseri A. Hafid Dimitrios Makrakis OOD 54 2 0 15 Apr 2024
FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity Kai Yi Nidham Gazagnadou Peter Richtárik Lingjuan Lyu 79 11 0 15 Apr 2024
Federated Learning on Riemannian Manifolds with Differential Privacy Zhenwei Huang Wen Huang Pratik Jawanpuria Bamdev Mishra FedML 34 6 0 15 Apr 2024
Make Split, not Hijack: Preventing Feature-Space Hijacking Attacks in Split Learning Tanveer Khan Mindaugas Budzys A. Michalas 31 4 0 14 Apr 2024
PraFFL: A Preference-Aware Scheme in Fair Federated Learning Rongguang Ye Wei-Bin Kou Ming Tang FedML 33 4 0 13 Apr 2024
Federated Optimization with Doubly Regularized Drift Correction Xiaowen Jiang Anton Rodomanov Sebastian U. Stich FedML 25 6 0 12 Apr 2024
pfl-research: simulation framework for accelerating research in Private Federated Learning Filip Granqvist Congzheng Song Áine Cahill Rogier van Dalen Martin Pelikan Yi Sheng Chan Xiaojun Feng Natarajan Krishnaswami Vojta Jina Mona Chitnis FedML 39 6 0 09 Apr 2024
Hyperparameter-Free Medical Image Synthesis for Sharing Data and Improving Site-Specific Segmentation A. Chebykin Peter A. N. Bosman Tanja Alderliesten MedIm 27 0 0 09 Apr 2024
AdaGossip: Adaptive Consensus Step-size for Decentralized Deep Learning with Communication Compression Sai Aparna Aketi Abolfazl Hashemi Kaushik Roy 26 0 0 09 Apr 2024
QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection Nouhaila Innan Alberto Marchisio Muhammad Shafique Mohamed Bennai 28 11 0 03 Apr 2024
The Artificial Neural Twin -- Process Optimization and Continual Learning in Distributed Process Chains Johannes Emmert Ronald Mendez Houman Mirzaalian Dastjerdi Christopher Syben Andreas Maier AI4CE 28 0 0 27 Mar 2024
Deep Support Vectors Junhoo Lee Hyunho Lee Kyomin Hwang Nojun Kwak 46 0 0 26 Mar 2024
Not All Federated Learning Algorithms Are Created Equal: A Performance Evaluation Study Gustav A. Baumgart Jaemin Shin Ali Payani Myungjin Lee Ramana Rao Kompella FedML 31 6 0 26 Mar 2024
TablePuppet: A Generic Framework for Relational Federated Learning Lijie Xu Chulin Xie Yiran Guo Gustavo Alonso Bo-wen Li Guoliang Li Wei Wang Wentao Wu Ce Zhang FedML 36 0 0 23 Mar 2024
Byzantine-resilient Federated Learning With Adaptivity to Data Heterogeneity Shiyuan Zuo Xingrun Yan Rongfei Fan Han Hu Hangguan Shan Tony Q. S. Quek FedML AAML 51 6 0 20 Mar 2024
Securing Federated Learning with Control-Flow Attestation: A Novel Framework for Enhanced Integrity and Resilience against Adversarial Attacks Zahir Alsulaimawi 75 2 0 15 Mar 2024
Federated Learning: Attacks, Defenses, Opportunities, and Challenges Ghazaleh Shirvani Saeid Ghasemshirazi Behzad Beigzadeh FedML 57 3 0 10 Mar 2024
LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression Laurent Condat A. Maranjyan Peter Richtárik 41 3 0 07 Mar 2024
Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos Tianyi Zhang Yu Cao Dianbo Liu FedML 21 0 0 29 Feb 2024
How to Privately Tune Hyperparameters in Federated Learning? Insights from a Benchmark Study Natalija Mitic Apostolos Pyrgelis Sinem Sav FedML 58 1 0 25 Feb 2024
CoDream: Exchanging dreams instead of models for federated aggregation with heterogeneous models Abhishek Singh Gauri Gupta Ritvik Kapila Yichuan Shi Alex Dang Sheshank Shankar Mohammed Ehab Ramesh Raskar FedML 43 0 0 25 Feb 2024