ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2012.10557
  4. Cited By
Ekya: Continuous Learning of Video Analytics Models on Edge Compute
  Servers

Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers

19 December 2020
Romil Bhardwaj
Zhengxu Xia
Ganesh Ananthanarayanan
Junchen Jiang
Nikolaos Karianakis
Yuanchao Shu
Kevin Hsieh
P. Bahl
Ion Stoica
ArXiv (abs)PDFHTML

Papers citing "Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers"

20 / 20 papers shown
Title
Efficient Precision-Scalable Hardware for Microscaling (MX) Processing in Robotics Learning
Efficient Precision-Scalable Hardware for Microscaling (MX) Processing in Robotics Learning
Stef Cuyckens
Xiaoling Yi
Nitish Satya Murthy
Chao Fang
Marian Verhelst
37
0
0
28 May 2025
Alchemist: Towards the Design of Efficient Online Continual Learning System
Yuyang Huang
Yuhan Liu
Haryadi S. Gunawi
Beibin Li
Changho Hwang
CLLOnRL
170
0
0
03 Mar 2025
AgroLLM: Connecting Farmers and Agricultural Practices through Large Language Models for Enhanced Knowledge Transfer and Practical Application
Dinesh Jackson Samuel
Inna Skarga-Bandurova
David Sikolia
Muhammad Awais
82
0
0
28 Feb 2025
Federated Learning Clients Clustering with Adaptation to Data Drifts
Federated Learning Clients Clustering with Adaptation to Data Drifts
Minghao Li
Dmitrii Avdiukhin
Rana Shahout
Nikita Ivkin
Vladimir Braverman
Minlan Yu
FedML
64
0
0
03 Nov 2024
Online Resource Allocation for Edge Intelligence with Colocated Model
  Retraining and Inference
Online Resource Allocation for Edge Intelligence with Colocated Model Retraining and Inference
Huaiguang Cai
Zhi Zhou
Qianyi Huang
62
4
0
25 May 2024
Egret: Reinforcement Mechanism for Sequential Computation Offloading in
  Edge Computing
Egret: Reinforcement Mechanism for Sequential Computation Offloading in Edge Computing
Haosong Peng
Yufeng Zhan
Dihua Zhai
Xiaopu Zhang
Yuanqing Xia
100
1
0
14 Apr 2024
DaCapo: Accelerating Continuous Learning in Autonomous Systems for Video
  Analytics
DaCapo: Accelerating Continuous Learning in Autonomous Systems for Video Analytics
Yoonsung Kim
Changhun Oh
Jinwoo Hwang
Wonung Kim
Seongryong Oh
Yubin Lee
Hardik Sharma
Amir Yazdanbakhsh
Jongse Park
84
8
0
21 Mar 2024
On Distributed Larger-Than-Memory Subset Selection With Pairwise Submodular Functions
On Distributed Larger-Than-Memory Subset Selection With Pairwise Submodular Functions
Maximilian Böther
Abraham Sebastian
Pranjal Awasthi
Ana Klimovic
Srikumar Ramalingam
108
0
0
26 Feb 2024
MadEye: Boosting Live Video Analytics Accuracy with Adaptive Camera
  Configurations
MadEye: Boosting Live Video Analytics Accuracy with Adaptive Camera Configurations
M. Wong
M. Ramanujam
Guha Balakrishnan
Ravi Netravali
85
5
0
04 Apr 2023
Moby: Empowering 2D Models for Efficient Point Cloud Analytics on the
  Edge
Moby: Empowering 2D Models for Efficient Point Cloud Analytics on the Edge
Jingzong Li
Yik Hong Cai
Libin Liu
Yushun Mao
Chun Jason Xue
Hongchang Xu
47
4
0
18 Feb 2023
Task Placement and Resource Allocation for Edge Machine Learning: A
  GNN-based Multi-Agent Reinforcement Learning Paradigm
Task Placement and Resource Allocation for Edge Machine Learning: A GNN-based Multi-Agent Reinforcement Learning Paradigm
Yihong Li
Xiaoxi Zhang
Tian Zeng
Jingpu Duan
Chuanxi Wu
Di Wu
Xu Chen
53
18
0
01 Feb 2023
On-device Training: A First Overview on Existing Systems
On-device Training: A First Overview on Existing Systems
Shuai Zhu
Thiemo Voigt
Jeonggil Ko
Fatemeh Rahimian
127
17
0
01 Dec 2022
Edge Video Analytics: A Survey on Applications, Systems and Enabling
  Techniques
Edge Video Analytics: A Survey on Applications, Systems and Enabling Techniques
Renjie Xu
S. Razavi
Rong Zheng
101
19
0
28 Nov 2022
APT: Adaptive Perceptual quality based camera Tuning using reinforcement
  learning
APT: Adaptive Perceptual quality based camera Tuning using reinforcement learning
Sibendu Paul
Kunal Rao
G. Coviello
Murugan Sankaradas
Oliver Po
Y. C. Hu
S. Chakradhar
59
0
0
15 Nov 2022
Turbo: Opportunistic Enhancement for Edge Video Analytics
Turbo: Opportunistic Enhancement for Edge Video Analytics
Yan Lu
Shiqi Jiang
Ting Cao
Yuanchao Shu
76
29
0
29 Jun 2022
Federated Learning under Distributed Concept Drift
Federated Learning under Distributed Concept Drift
Ellango Jothimurugesan
Kevin Hsieh
Jianyu Wang
Gauri Joshi
Phillip B. Gibbons
FedML
96
49
0
01 Jun 2022
GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at
  the Edge
GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge
Arthi Padmanabhan
Neil Agarwal
Anand Iyer
Ganesh Ananthanarayanan
Yuanchao Shu
Nikolaos Karianakis
G. Xu
Ravi Netravali
82
62
0
19 Jan 2022
Boggart: Towards General-Purpose Acceleration of Retrospective Video
  Analytics
Boggart: Towards General-Purpose Acceleration of Retrospective Video Analytics
Neil Agarwal
Ravi Netravali
69
15
0
21 Jun 2021
ALERT: Accurate Learning for Energy and Timeliness
ALERT: Accurate Learning for Energy and Timeliness
Chengcheng Wan
M. Santriaji
E. Rogers
H. Hoffmann
Michael Maire
Shan Lu
AI4CE
94
42
0
31 Oct 2019
YOLO9000: Better, Faster, Stronger
YOLO9000: Better, Faster, Stronger
Joseph Redmon
Ali Farhadi
VLMObjD
183
15,668
0
25 Dec 2016
1