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Adaptive Federated Optimization

29 February 2020

Sanjiv Kumar

Papers citing "Adaptive Federated Optimization"

50 / 815 papers shown

Title
DELTA: Diverse Client Sampling for Fasting Federated Learning Lung-Chuang Wang Yongxin Guo Tao R. Lin Xiaoying Tang FedML 117 26 0 27 May 2022
Federated Semi-Supervised Learning with Prototypical Networks Woojun Kim Keondo Park Kihyuk Sohn Raphael Shu Hyung-Sin Kim FedML 85 12 0 27 May 2022
AsyncFedED: Asynchronous Federated Learning with Euclidean Distance based Adaptive Weight Aggregation Qiyuan Wang Qianqian Yang Shibo He Zhiguo Shi Jiming Chen FedML 162 28 0 27 May 2022
Heterogeneous Collaborative Learning for Personalized Healthcare Analytics via Messenger Distillation Guanhua Ye Tong Chen Yawen Li Li-zhen Cui Quoc Viet Hung Nguyen Hongzhi Yin 57 8 0 27 May 2022
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning Liam Collins Hamed Hassani Aryan Mokhtari Sanjay Shakkottai FedML 83 81 0 27 May 2022
Mixed Federated Learning: Joint Decentralized and Centralized Learning S. Augenstein Andrew Straiton Hard Lin Ning K. Singhal Satyen Kale Kurt Partridge Rajiv Mathews FedML 74 8 0 26 May 2022
FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction Yongxin Guo Xiaoying Tang Tao R. Lin FedML 92 28 0 26 May 2022
A Fair Federated Learning Framework With Reinforcement Learning Yaqi Sun Shijing Si Jianzong Wang Yuhan Dong Z. Zhu Jing Xiao FedML 116 7 0 26 May 2022
QUIC-FL: Quick Unbiased Compression for Federated Learning Ran Ben-Basat S. Vargaftik Amit Portnoy Gil Einziger Y. Ben-Itzhak Michael Mitzenmacher FedML 144 13 0 26 May 2022
Federated Split BERT for Heterogeneous Text Classification Zhengyang Li Shijing Si Jianzong Wang Jing Xiao FedML 91 21 0 26 May 2022
Combating Client Dropout in Federated Learning via Friend Model Substitution Heqiang Wang Jie Xu FedML 72 6 0 26 May 2022
Scalable and Low-Latency Federated Learning with Cooperative Mobile Edge Networking Zhenxiao Zhang Zhidong Gao Yuanxiong Guo Yanmin Gong FedML 57 37 0 25 May 2022
Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering Ekdeep Singh Lubana Chi Ian Tang F. Kawsar Robert P. Dick Akhil Mathur FedML 77 54 0 23 May 2022
Personalized Federated Learning with Server-Side Information Jaehun Song Min Hwan Oh Hyung-Sin Kim FedML 77 8 0 23 May 2022
Test-Time Robust Personalization for Federated Learning Liang Jiang Tao R. Lin FedML OOD TTA 157 48 0 22 May 2022
Robust Quantity-Aware Aggregation for Federated Learning Jingwei Yi Fangzhao Wu Huishuai Zhang Bin Zhu Tao Qi Guangzhong Sun Xing Xie FedML 74 2 0 22 May 2022
FedAdapter: Efficient Federated Learning for Modern NLP Dongqi Cai Yaozong Wu Shangguang Wang F. Lin Mengwei Xu FedML AI4CE 74 23 0 20 May 2022
Federated learning for violence incident prediction in a simulated cross-institutional psychiatric setting Thomas Borger P. Mosteiro Heysem Kaya Emil Rijcken A. A. Salah Floortje E. Scheepers Marco Spruit FedML 140 23 0 17 May 2022
Federated Learning Under Intermittent Client Availability and Time-Varying Communication Constraints Mónica Ribero H. Vikalo G. Veciana FedML 76 46 0 13 May 2022
On Distributed Adaptive Optimization with Gradient Compression Xiaoyun Li Belhal Karimi Ping Li 80 27 0 11 May 2022
Secure & Private Federated Neuroimaging Dimitris Stripelis Umang Gupta Hamza Saleem Nikhil J. Dhinagar Tanmay Ghai ... Greg Ver Steeg Yu Yang Muhammad Naveed Paul M. Thompson J. Ambite FedML OOD 73 2 0 11 May 2022
A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks Mingrui Liu Zhenxun Zhuang Yunwei Lei Chunyang Liao 79 20 0 10 May 2022
Communication-Efficient Adaptive Federated Learning Yujia Wang Lu Lin Jinghui Chen FedML 92 75 0 05 May 2022
FedNest: Federated Bilevel, Minimax, and Compositional Optimization Davoud Ataee Tarzanagh Mingchen Li Christos Thrampoulidis Samet Oymak FedML 120 75 0 04 May 2022
Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling Kiyoon Yoo Nojun Kwak SILM AAML FedML 70 21 0 29 Apr 2022
FedShuffle: Recipes for Better Use of Local Work in Federated Learning Samuel Horváth Maziar Sanjabi Lin Xiao Peter Richtárik Michael G. Rabbat FedML 92 21 0 27 Apr 2022
Understanding A Class of Decentralized and Federated Optimization Algorithms: A Multi-Rate Feedback Control Perspective Xinwei Zhang Mingyi Hong N. Elia FedML 73 3 0 27 Apr 2022
A review of Federated Learning in Intrusion Detection Systems for IoT Aitor Belenguer J. Navaridas J. A. Pascual 92 16 0 26 Apr 2022
Federated Progressive Sparsification (Purge, Merge, Tune)+ Dimitris Stripelis Umang Gupta Greg Ver Steeg J. Ambite FedML 64 11 0 26 Apr 2022
One-shot Federated Learning without Server-side Training Shangchao Su Bin Li Xiangyang Xue FedML 66 28 0 26 Apr 2022
On Arbitrary Compression for Decentralized Consensus and Stochastic Optimization over Directed Networks Taha Toghani César A. Uribe 54 1 0 18 Apr 2022
Self-Aware Personalized Federated Learning Huili Chen Jie Ding Eric W. Tramel Shuang Wu Anit Kumar Sahu Salman Avestimehr Tao Zhang FedML 87 27 0 17 Apr 2022
DRFLM: Distributionally Robust Federated Learning with Inter-client Noise via Local Mixup Bingzhe Wu Zhipeng Liang Yuxuan Han Yatao Bian P. Zhao Junzhou Huang OOD FedML 34 3 0 16 Apr 2022
Production federated keyword spotting via distillation, filtering, and joint federated-centralized training Andrew Straiton Hard Kurt Partridge Neng Chen S. Augenstein Aishanee Shah ... Sara Ng Jessica Nguyen Ignacio López Moreno Rajiv Mathews F. Beaufays FedML 87 14 0 11 Apr 2022
FedCorr: Multi-Stage Federated Learning for Label Noise Correction Jingyi Xu Zihan Chen Tony Q.S. Quek Kai Fong Ernest Chong FedML 70 89 0 10 Apr 2022
Distributed Evolution Strategies for Black-box Stochastic Optimization Xiaoyu He Zibin Zheng Chuan Chen Yuren Zhou Chuan Luo Qingwei Lin 61 5 0 09 Apr 2022
Federated Learning with Partial Model Personalization Krishna Pillutla Kshitiz Malik Abdel-rahman Mohamed Michael G. Rabbat Maziar Sanjabi Lin Xiao FedML 105 170 0 08 Apr 2022
FedCos: A Scene-adaptive Federated Optimization Enhancement for Performance Improvement Hao Zhang Tingting Wu Siyao Cheng Jie Liu FedML 67 12 0 07 Apr 2022
DeFTA: A Plug-and-Play Decentralized Replacement for FedAvg Yuhao Zhou M. Shi Yuxin Tian Qing Ye Jiancheng Lv FedML 34 2 0 06 Apr 2022
CDKT-FL: Cross-Device Knowledge Transfer using Proxy Dataset in Federated Learning Huy Q. Le Minh N. H. Nguyen Shashi Raj Pandey Chaoning Zhang Choong Seon Hong FedML 84 10 0 04 Apr 2022
Scaling Language Model Size in Cross-Device Federated Learning Jae Hun Ro Theresa Breiner Lara McConnaughey Mingqing Chen A. Suresh Shankar Kumar Rajiv Mathews FedML 61 26 0 31 Mar 2022
Escaping Data Scarcity for High-Resolution Heterogeneous Face Hallucination Yiqun Mei Pengfei Guo Vishal M. Patel CVBM 57 9 0 30 Mar 2022
Federated Named Entity Recognition Joel Mathew Dimitris Stripelis J. Ambite FedML 78 1 0 28 Mar 2022
FedVLN: Privacy-preserving Federated Vision-and-Language Navigation Kaiwen Zhou Xinze Wang FedML 98 8 0 28 Mar 2022
Federated Learning with Position-Aware Neurons Xin-Chun Li Yi-Chu Xu Shaoming Song Bingshuai Li Yinchuan Li Yunfeng Shao De-Chuan Zhan FedML 105 34 0 28 Mar 2022
SlimFL: Federated Learning with Superposition Coding over Slimmable Neural Networks Won Joon Yun Yunseok Kwak Hankyul Baek Soyi Jung Mingyue Ji M. Bennis Jihong Park Joongheon Kim 80 17 0 26 Mar 2022
FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations Mirian Hipolito Garcia Andre Manoel Daniel Madrigal Diaz Fatemehsadat Mireshghallah Robert Sim Dimitrios Dimitriadis FedML 92 57 0 25 Mar 2022
Adaptive Aggregation For Federated Learning K.R. Jayaram Vinod Muthusamy Gegi Thomas Ashish Verma Mark Purcell FedML 95 18 0 23 Mar 2022
Improving Generalization in Federated Learning by Seeking Flat Minima Debora Caldarola Barbara Caputo Marco Ciccone FedML 103 112 0 22 Mar 2022
FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction Liang Gao Huazhu Fu Li Li Yingwen Chen Minghua Xu Chengzhong Xu FedML 120 257 0 22 Mar 2022