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FedVision: An Online Visual Object Detection Platform Powered by
  Federated Learning

FedVision: An Online Visual Object Detection Platform Powered by Federated Learning

17 January 2020
Yang Liu
Anbu Huang
Yu Luo
He Huang
Youzhi Liu
Yuanyuan Chen
Lican Feng
Tianjian Chen
Hang Yu
Qiang Yang
    FedML
ArXivPDFHTML

Papers citing "FedVision: An Online Visual Object Detection Platform Powered by Federated Learning"

50 / 121 papers shown
Title
Utility-Maximizing Bidding Strategy for Data Consumers in Auction-based
  Federated Learning
Utility-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning
Xiaoli Tang
Han Yu
FedML
24
17
0
11 May 2023
BadVFL: Backdoor Attacks in Vertical Federated Learning
BadVFL: Backdoor Attacks in Vertical Federated Learning
Mohammad Naseri
Yufei Han
Emiliano De Cristofaro
FedML
AAML
24
11
0
18 Apr 2023
Zero-Knowledge Proof-based Practical Federated Learning on Blockchain
Zero-Knowledge Proof-based Practical Federated Learning on Blockchain
Zhibo Xing
Zijian Zhang
Meng Li
J. Liu
Liehuang Zhu
Giovanni Russello
M. R. Asghar
16
17
0
12 Apr 2023
Federated Learning with Classifier Shift for Class Imbalance
Federated Learning with Classifier Shift for Class Imbalance
Yunheng Shen
Haoxiang Wang
Hairong Lv
FedML
6
5
0
11 Apr 2023
Edge-Based Video Analytics: A Survey
Edge-Based Video Analytics: A Survey
Miao Hu
Zhenxiao Luo
A. Pasdar
Young Choon Lee
Yipeng Zhou
Di Wu
34
14
0
25 Mar 2023
A Survey of Federated Learning for Connected and Automated Vehicles
A Survey of Federated Learning for Connected and Automated Vehicles
Vishnu Pandi Chellapandi
Liangqi Yuan
Stanislaw H. .Zak
Ziran Wang
FedML
17
32
0
19 Mar 2023
Distributed and Deep Vertical Federated Learning with Big Data
Distributed and Deep Vertical Federated Learning with Big Data
Ji Liu
Xuehai Zhou
L. Mo
Shilei Ji
Yuan Liao
Z. Li
Qinhua Gu
Dejing Dou
FedML
24
16
0
08 Mar 2023
FedML Parrot: A Scalable Federated Learning System via
  Heterogeneity-aware Scheduling on Sequential and Hierarchical Training
FedML Parrot: A Scalable Federated Learning System via Heterogeneity-aware Scheduling on Sequential and Hierarchical Training
Zhenheng Tang
X. Chu
Ryan Yide Ran
Sunwoo Lee
S. Shi
Yonggang Zhang
Yuxin Wang
Alex Liang
A. Avestimehr
Chaoyang He
FedML
15
10
0
03 Mar 2023
Efficient Training of Large-scale Industrial Fault Diagnostic Models
  through Federated Opportunistic Block Dropout
Efficient Training of Large-scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout
Yuanyuan Chen
Zichen Chen
Sheng Guo
Yansong Zhao
Zelei Liu
Pengcheng Wu
Che-Sheng Yang
Zengxiang Li
Han Yu
AI4CE
27
9
0
22 Feb 2023
AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust
  Autonomous Driving
AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving
Tianyue Zheng
Ang Li
Zhe Chen
Hao Wang
Jun-Jie Luo
21
47
0
17 Feb 2023
A Privacy-Preserving Hybrid Federated Learning Framework for Financial
  Crime Detection
A Privacy-Preserving Hybrid Federated Learning Framework for Financial Crime Detection
Haobo Zhang
Junyuan Hong
Fan Dong
Steve Drew
Liangjie Xue
Jiayu Zhou
FedML
37
17
0
07 Feb 2023
Federated Recommendation with Additive Personalization
Federated Recommendation with Additive Personalization
Zhiwei Li
Guodong Long
Tianyi Zhou
FedML
30
15
0
22 Jan 2023
HiFlash: Communication-Efficient Hierarchical Federated Learning with
  Adaptive Staleness Control and Heterogeneity-aware Client-Edge Association
HiFlash: Communication-Efficient Hierarchical Federated Learning with Adaptive Staleness Control and Heterogeneity-aware Client-Edge Association
Qiong Wu
Xu Chen
Ouyang Tao
Zhi Zhou
Xiaoxi Zhang
Shusen Yang
Junshan Zhang
22
44
0
16 Jan 2023
Federated Learning -- Methods, Applications and beyond
Federated Learning -- Methods, Applications and beyond
Moritz Heusinger
Christoph Raab
Fabrice Rossi
Frank-Michael Schleif
FedML
OOD
11
5
0
22 Dec 2022
Modeling Global Distribution for Federated Learning with Label
  Distribution Skew
Modeling Global Distribution for Federated Learning with Label Distribution Skew
Tao Sheng
Cheng Shen
Yuan Liu
Yeyu Ou
Zhe Qu
Jianxin Wang
FedML
22
7
0
17 Dec 2022
FedSkip: Combatting Statistical Heterogeneity with Federated Skip
  Aggregation
FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation
Ziqing Fan
Yanfeng Wang
Jiangchao Yao
Lingjuan Lyu
Ya-Qin Zhang
Qinghua Tian
FedML
19
20
0
14 Dec 2022
Analysis of Error Feedback in Federated Non-Convex Optimization with
  Biased Compression
Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression
Xiaoyun Li
Ping Li
FedML
32
4
0
25 Nov 2022
Multi-Job Intelligent Scheduling with Cross-Device Federated Learning
Multi-Job Intelligent Scheduling with Cross-Device Federated Learning
Ji Liu
Juncheng Jia
Beichen Ma
Chen Zhou
Jingbo Zhou
Yang Zhou
H. Dai
Dejing Dou
FedML
30
23
0
24 Nov 2022
Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning
Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning
Shangchao Su
Min Yang
Bin Li
Xiangyang Xue
VLM
FedML
30
18
0
15 Nov 2022
FedTracker: Furnishing Ownership Verification and Traceability for
  Federated Learning Model
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model
Shuo Shao
Wenyuan Yang
Hanlin Gu
Zhan Qin
Lixin Fan
Qiang Yang
Kui Ren
FedML
27
27
0
14 Nov 2022
More Generalized and Personalized Unsupervised Representation Learning
  In A Distributed System
More Generalized and Personalized Unsupervised Representation Learning In A Distributed System
Yue Yang
Jingwei Sun
Ang Li
H. Li
Yiran Chen
OOD
31
0
0
11 Nov 2022
Deep Learning based Computer Vision Methods for Complex Traffic
  Environments Perception: A Review
Deep Learning based Computer Vision Methods for Complex Traffic Environments Perception: A Review
Talha Azfar
Jinlong Li
Hongkai Yu
R. Cheu
Yisheng Lv
Ruimin Ke
20
21
0
09 Nov 2022
Differentially Private CutMix for Split Learning with Vision Transformer
Differentially Private CutMix for Split Learning with Vision Transformer
Seungeun Oh
Jihong Park
Sihun Baek
Hyelin Nam
Praneeth Vepakomma
Ramesh Raskar
M. Bennis
Seong-Lyun Kim
FedML
11
16
0
28 Oct 2022
Federated Learning for Tabular Data: Exploring Potential Risk to Privacy
Federated Learning for Tabular Data: Exploring Potential Risk to Privacy
Han Wu
Zilong Zhao
L. Chen
Aad van Moorsel
FedML
15
7
0
13 Oct 2022
FedAR+: A Federated Learning Approach to Appliance Recognition with
  Mislabeled Data in Residential Buildings
FedAR+: A Federated Learning Approach to Appliance Recognition with Mislabeled Data in Residential Buildings
Ashish Gupta
Hari Prabhat Gupta
Sajal K. Das
26
1
0
03 Sep 2022
Exploring Semantic Attributes from A Foundation Model for Federated
  Learning of Disjoint Label Spaces
Exploring Semantic Attributes from A Foundation Model for Federated Learning of Disjoint Label Spaces
Shitong Sun
Chenyang Si
Guile Wu
S. Gong
FedML
23
0
0
29 Aug 2022
A Survey and Framework of Cooperative Perception: From Heterogeneous
  Singleton to Hierarchical Cooperation
A Survey and Framework of Cooperative Perception: From Heterogeneous Singleton to Hierarchical Cooperation
Zhengwei Bai
Guoyuan Wu
Matthew J. Barth
Yongkang Liu
E. A. Sisbot
K. Oguchi
Zhitong Huang
26
22
0
22 Aug 2022
Long-Short History of Gradients is All You Need: Detecting Malicious and
  Unreliable Clients in Federated Learning
Long-Short History of Gradients is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning
Ashish Gupta
Tie-Mei Luo
Mao V. Ngo
Sajal K. Das
AAML
FedML
37
13
0
14 Aug 2022
FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale
  Neural Networks through Federated Learning
FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning
Yuanyuan Chen
Zichen Chen
Pengcheng Wu
Han Yu
AI4CE
9
18
0
10 Aug 2022
Application of federated learning in manufacturing
Application of federated learning in manufacturing
Vinit Hegiste
T. Legler
Martin Ruskowski
FedML
19
17
0
09 Aug 2022
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation
Sungwon Han
Sungwon Park
Fangzhao Wu
Sundong Kim
Chuhan Wu
Xing Xie
M. Cha
FedML
24
53
0
19 Jul 2022
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning
Daoyuan Chen
Dawei Gao
Weirui Kuang
Yaliang Li
Bolin Ding
FedML
27
63
0
08 Jun 2022
FEL: High Capacity Learning for Recommendation and Ranking via Federated
  Ensemble Learning
FEL: High Capacity Learning for Recommendation and Ranking via Federated Ensemble Learning
Meisam Hejazinia
Dzmitry Huba
Ilias Leontiadis
Kiwan Maeng
Mani Malek
Luca Melis
Ilya Mironov
Milad Nasr
Kaikai Wang
Carole-Jean Wu
FedML
9
5
0
07 Jun 2022
FedWalk: Communication Efficient Federated Unsupervised Node Embedding
  with Differential Privacy
FedWalk: Communication Efficient Federated Unsupervised Node Embedding with Differential Privacy
Qiying Pan
Yifei Zhu
FedML
12
18
0
31 May 2022
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient
  Package for Federated Graph Learning
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning
Zhen Wang
Weirui Kuang
Yuexiang Xie
Liuyi Yao
Yaliang Li
Bolin Ding
Jingren Zhou
FedML
13
77
0
12 Apr 2022
Privacy-Preserving Aggregation in Federated Learning: A Survey
Privacy-Preserving Aggregation in Federated Learning: A Survey
Ziyao Liu
Jiale Guo
Wenzhuo Yang
Jiani Fan
Kwok-Yan Lam
Jun Zhao
FedML
20
87
0
31 Mar 2022
RSCFed: Random Sampling Consensus Federated Semi-supervised Learning
RSCFed: Random Sampling Consensus Federated Semi-supervised Learning
Xiaoxiao Liang
Yiqun Lin
H. Fu
Lei Zhu
X. Li
FedML
13
48
0
26 Mar 2022
FLAME: Federated Learning Across Multi-device Environments
FLAME: Federated Learning Across Multi-device Environments
Hyunsung Cho
Akhil Mathur
F. Kawsar
11
21
0
17 Feb 2022
More is Better (Mostly): On the Backdoor Attacks in Federated Graph
  Neural Networks
More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks
Jing Xu
Rui Wang
Stefanos Koffas
K. Liang
S. Picek
FedML
AAML
31
25
0
07 Feb 2022
Addressing modern and practical challenges in machine learning: A survey
  of online federated and transfer learning
Addressing modern and practical challenges in machine learning: A survey of online federated and transfer learning
Shuang Dai
Fanlin Meng
FedML
OnRL
34
21
0
07 Feb 2022
Dangerous Cloaking: Natural Trigger based Backdoor Attacks on Object
  Detectors in the Physical World
Dangerous Cloaking: Natural Trigger based Backdoor Attacks on Object Detectors in the Physical World
Hua Ma
Yinshan Li
Yansong Gao
A. Abuadbba
Zhi-Li Zhang
Anmin Fu
Hyoungshick Kim
S. Al-Sarawi
N. Surya
Derek Abbott
21
34
0
21 Jan 2022
A Review on Visual Privacy Preservation Techniques for Active and
  Assisted Living
A Review on Visual Privacy Preservation Techniques for Active and Assisted Living
Siddharth Ravi
Pau Climent-Pérez
Francisco Flórez-Revuelta
27
33
0
17 Dec 2021
From Deterioration to Acceleration: A Calibration Approach to
  Rehabilitating Step Asynchronism in Federated Optimization
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization
Feijie Wu
Song Guo
Haozhao Wang
Zhihao Qu
Haobo Zhang
Jiewei Zhang
Ziming Liu
17
11
0
17 Dec 2021
Communication-Efficient Federated Learning for Neural Machine
  Translation
Communication-Efficient Federated Learning for Neural Machine Translation
Tanya Roosta
Peyman Passban
Ankit R. Chadha
FedML
AI4CE
14
5
0
12 Dec 2021
Efficient Device Scheduling with Multi-Job Federated Learning
Efficient Device Scheduling with Multi-Job Federated Learning
Chen Zhou
Ji Liu
Juncheng Jia
Jingbo Zhou
Yang Zhou
H. Dai
Dejing Dou
FedML
12
39
0
11 Dec 2021
Location Leakage in Federated Signal Maps
Location Leakage in Federated Signal Maps
Evita Bakopoulou
Justin Ley
Jiang Zhang
Konstantinos Psounis
A. Markopoulou
FedML
18
5
0
07 Dec 2021
FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks
FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks
Chaoyang He
Alay Dilipbhai Shah
Zhenheng Tang
Adarshan Naiynar Sivashunmugam
Keerti Bhogaraju
Mita Shimpi
Li Shen
X. Chu
Mahdi Soltanolkotabi
Salman Avestimehr
VLM
FedML
26
68
0
22 Nov 2021
FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps
FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps
Xiaopeng Jiang
Han Hu
Vijaya Datta Mayyuri
An M. Chen
D. Shila
Adriaan Larmuseau
Ruoming Jin
Cristian Borcea
Nhathai Phan
FedML
8
11
0
17 Nov 2021
Facial Emotion Recognition: A multi-task approach using deep learning
Facial Emotion Recognition: A multi-task approach using deep learning
Aakash Saroop
Pathik Ghugare
Sashank Mathamsetty
Vaibhav Vasani
CVBM
11
3
0
28 Oct 2021
MarS-FL: Enabling Competitors to Collaborate in Federated Learning
MarS-FL: Enabling Competitors to Collaborate in Federated Learning
Xiaohu Wu
Han Yu
11
20
0
26 Oct 2021
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