Adaptive Federated Optimization

29 February 2020

Sanjiv Kumar

Papers citing "Adaptive Federated Optimization"

50 / 792 papers shown

Title
On the Convergence of a Federated Expectation-Maximization Algorithm Zhixu Tao Rajita Chandak Sanjeev R. Kulkarni FedML 35 0 0 11 Aug 2024
Advancing oncology with federated learning: transcending boundaries in breast, lung, and prostate cancer. A systematic review A. Ankolekar S. Boie M. Abdollahyan E. Gadaleta S. A. Hasheminasab ... M. Bussmann S. Khalid H. Kruger Philippe Lambin G. Papanastasiou AI4CE 26 1 0 08 Aug 2024
CELLM: An Efficient Communication in Large Language Models Training for Federated Learning Raja Vavekanand Kira Sam 56 0 0 30 Jul 2024
A federated large language model for long-term time series forecasting Raed Abdel Sater A. B. Hamza AI4TS 37 2 0 30 Jul 2024
FADAS: Towards Federated Adaptive Asynchronous Optimization Yujia Wang Shiqiang Wang Songtao Lu Jinghui Chen FedML 42 3 0 25 Jul 2024
Lightweight Industrial Cohorted Federated Learning for Heterogeneous Assets Madapu Amarlingam Abhishek Wani NL Adarsh FedML 25 1 0 25 Jul 2024
COALA: A Practical and Vision-Centric Federated Learning Platform Weiming Zhuang Jian Xu Chen Chen Jingtao Li Lingjuan Lyu VLM FedML 79 4 0 23 Jul 2024
Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator Thinh Nguyen Khoa D. Doan Binh T. Nguyen Danh Le-Phuoc Kok-Seng Wong FedML 43 0 0 13 Jul 2024
Combining Federated Learning and Control: A Survey Jakob Weber Markus Gurtner A. Lobe Adrian Trachte Andreas Kugi FedML AI4CE 36 2 0 12 Jul 2024
DFedSat: Communication-Efficient and Robust Decentralized Federated Learning for LEO Satellite Constellations Minghao Yang Jingjing Zhang Shengyun Liu FedML 42 2 0 08 Jul 2024
Federated Graph Semantic and Structural Learning Wenke Huang Guancheng Wan Mang Ye Bo Du FedML 36 43 0 27 Jun 2024
Semi-Variance Reduction for Fair Federated Learning Saber Malekmohammadi Yaoliang Yu FedML 80 1 0 23 Jun 2024
Communication-Efficient Adaptive Batch Size Strategies for Distributed Local Gradient Methods Tim Tsz-Kit Lau Weijian Li Chenwei Xu Han Liu Mladen Kolar 44 1 0 20 Jun 2024
Synergizing Foundation Models and Federated Learning: A Survey Shenghui Li Fanghua Ye Meng Fang Jiaxu Zhao Yun-Hin Chan Edith C. -H. Ngai Thiemo Voigt AI4CE 57 5 0 18 Jun 2024
EncCluster: Scalable Functional Encryption in Federated Learning through Weight Clustering and Probabilistic Filters Vasileios Tsouvalas Samaneh Mohammadi Ali Balador T. Ozcelebi Francesco Flammini N. Meratnia FedML 38 0 0 13 Jun 2024
Fed-Sophia: A Communication-Efficient Second-Order Federated Learning Algorithm Ahmed Elbakary Chaouki Ben Issaid Mohammad Shehab Karim G. Seddik Tamer A. ElBatt Mehdi Bennis 42 2 0 10 Jun 2024
Federated LoRA with Sparse Communication Kevin Kuo Arian Raje Kousik Rajesh Virginia Smith 46 8 0 07 Jun 2024
FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models Guangyi Liu Rui Ge Xinyu Zhu Jingyi Chai Yaxin Du Yang Liu Yanfeng Wang Siheng Chen FedML 41 14 0 07 Jun 2024
FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of Vehicles Cyprien Quéméneur Soumaya Cherkaoui 45 3 0 05 Jun 2024
Buffered Asynchronous Secure Aggregation for Cross-Device Federated Learning Kun Wang Yi-Rui Yang Wu-Jun Li 42 0 0 05 Jun 2024
FedStaleWeight: Buffered Asynchronous Federated Learning with Fair Aggregation via Staleness Reweighting Jeffrey Ma Alan Tu Yiling Chen Vijay Janapa Reddi FedML 40 0 0 05 Jun 2024
One-Shot Federated Learning with Bayesian Pseudocoresets Tim d'Hondt Mykola Pechenizkiy Robert Peharz FedML 37 0 0 04 Jun 2024
Accelerating Heterogeneous Federated Learning with Closed-form Classifiers Eros Fani Raffaello Camoriano Barbara Caputo Marco Ciccone 47 4 0 03 Jun 2024
Cohort Squeeze: Beyond a Single Communication Round per Cohort in Cross-Device Federated Learning Kai Yi Timur Kharisov Igor Sokolov Peter Richtárik FedML 34 2 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 51 1 0 03 Jun 2024
Local Methods with Adaptivity via Scaling Saveliy Chezhegov Sergey Skorik Nikolas Khachaturov Danil Shalagin A. Avetisyan Aleksandr Beznosikov Martin Takáč Yaroslav Kholodov Alexander Gasnikov 61 2 0 02 Jun 2024
Pursuing Overall Welfare in Federated Learning through Sequential Decision Making S. Hahn Gi-Soo Kim Junghye Lee FedML 23 1 0 31 May 2024
Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective Khiem H. Le Nhan Luong-Ha Manh Nguyen-Duc Danh Le-Phuoc Cuong D. Do Kok-Seng Wong FedML 37 1 0 30 May 2024
SPAM: Stochastic Proximal Point Method with Momentum Variance Reduction for Non-convex Cross-Device Federated Learning Avetik G. Karagulyan Egor Shulgin Abdurakhmon Sadiev Peter Richtárik FedML 46 2 0 30 May 2024
Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning Guogang Zhu Xuefeng Liu Xinghao Wu Shaojie Tang Chao Tang Jianwei Niu Hao Su FedML 55 1 0 30 May 2024
Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization Ziqing Fan Shengchao Hu Jiangchao Yao Gang Niu Ya Zhang Masashi Sugiyama Yanfeng Wang FedML 44 11 0 29 May 2024
Federating Dynamic Models using Early-Exit Architectures for Automatic Speech Recognition on Heterogeneous Clients Mohamed Nabih Ali A. Brutti Daniele Falavigna 45 0 0 27 May 2024
Thinking Forward: Memory-Efficient Federated Finetuning of Language Models Kunjal Panchal Nisarg Parikh Sunav Choudhary Lijun Zhang Yuriy Brun Hui Guan 61 3 0 24 May 2024
FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler Hongyi Peng Han Yu Xiaoli Tang Xiaoxiao Li 47 3 0 24 May 2024
Recurrent Early Exits for Federated Learning with Heterogeneous Clients Royson Lee Javier Fernandez-Marques S. Hu Da Li Stefanos Laskaridis L. Dudziak Timothy M. Hospedales Ferenc Huszár Nicholas D. Lane 36 3 0 23 May 2024
Worldwide Federated Training of Language Models Alexandru Iacob Lorenzo Sani Bill Marino Preslav Aleksandrov William F. Shen Nicholas D. Lane FedML 35 2 0 23 May 2024
FedCache 2.0: Exploiting the Potential of Distilled Data in Knowledge Cache-driven Federated Learning Quyang Pan Sheng Sun Zhiyuan Wu Yuwei Wang Min Liu Bo Gao FedML 58 1 0 22 May 2024
FedCAda: Adaptive Client-Side Optimization for Accelerated and Stable Federated Learning Liuzhi Zhou Yu He Kun Zhai Xiang Liu Sen Liu Xingjun Ma Guangnan Ye Yu-Gang Jiang Hongfeng Chai FedML 26 1 0 20 May 2024
The Future of Large Language Model Pre-training is Federated Lorenzo Sani Alexandru Iacob Zeyu Cao Bill Marino Yan Gao ... Wanru Zhao William F. Shen Preslav Aleksandrov Xinchi Qiu Nicholas D. Lane AI4CE 35 13 0 17 May 2024
Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data Mahdi Morafah M. Reisser Bill Lin Christos Louizos FedML 34 5 0 13 May 2024
Federated Document Visual Question Answering: A Pilot Study Khanh Nguyen Dimosthenis Karatzas FedML 47 0 0 10 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 6 0 10 May 2024
FedStale: leveraging stale client updates in federated learning Angelo Rodio Giovanni Neglia FedML 43 4 0 07 May 2024
LIFL: A Lightweight, Event-driven Serverless Platform for Federated Learning Shixiong Qi K. K. Ramakrishnan Myungjin Lee 27 2 0 05 May 2024
Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation Haibo Yang Pei-Yuan Qiu Prashant Khanduri Minghong Fang Jia Liu FedML 42 1 0 04 May 2024
A Mutual Information Perspective on Federated Contrastive Learning Christos Louizos M. Reisser Denis Korzhenkov SSL FedML 32 2 0 03 May 2024
Employing Federated Learning for Training Autonomous HVAC Systems Fredrik Hagström Vikas K. Garg Fabricio Oliveira AI4CE 68 0 0 01 May 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
Collaborative Visual Place Recognition through Federated Learning Mattia Dutto Gabriele Berton Debora Caldarola Eros Fani Gabriele Trivigno Carlo Masone FedML 32 1 0 20 Apr 2024
Improved Generalization Bounds for Communication Efficient Federated Learning Peyman Gholami H. Seferoglu FedML AI4CE 26 6 0 17 Apr 2024