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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
ArXivPDFHTML

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

22 / 22 papers shown
Title
Empowering Agentic Video Analytics Systems with Video Language Models
Empowering Agentic Video Analytics Systems with Video Language Models
Yuxuan Yan
Shiqi Jiang
Ting Cao
Y. Yang
Qianqian Yang
Yuanchao Shu
Y. Yang
Lili Qiu
VLM
70
0
0
01 May 2025
Legilimens: Performant Video Analytics on the System-on-Chip Edge
Legilimens: Performant Video Analytics on the System-on-Chip Edge
M. Ramanujam
Yinwei Dai
Kyle Jamieson
Ravi Netravali
78
0
0
29 Apr 2025
SA2FE: A Secure, Anonymous, Auditable, and Fair Edge Computing Service Offloading Framework
SA2FE: A Secure, Anonymous, Auditable, and Fair Edge Computing Service Offloading Framework
Xiaojian Wang
Huayue Gu
Zhouyu Li
Fangtong Zhou
Ruozhou Yu
Dejun Yang
G. Xue
23
0
0
28 Apr 2025
Circinus: Efficient Query Planner for Compound ML Serving
Circinus: Efficient Query Planner for Compound ML Serving
Banruo Liu
Wei-Yu Lin
Minghao Fang
Yihan Jiang
Fan Lai
LRM
34
0
0
23 Apr 2025
Bandwidth Allocation for Cloud-Augmented Autonomous Driving
Bandwidth Allocation for Cloud-Augmented Autonomous Driving
Peter Schafhalter
Alexander Krentsel
Joseph E. Gonzalez
Sylvia Ratnasamy
S. Shenker
Ion Stoica
79
0
0
26 Mar 2025
Loki: A System for Serving ML Inference Pipelines with Hardware and
  Accuracy Scaling
Loki: A System for Serving ML Inference Pipelines with Hardware and Accuracy Scaling
Sohaib Ahmad
Hui Guan
Ramesh K. Sitaraman
40
4
0
04 Jul 2024
EdgeSync: Faster Edge-model Updating via Adaptive Continuous Learning
  for Video Data Drift
EdgeSync: Faster Edge-model Updating via Adaptive Continuous Learning for Video Data Drift
Peng Zhao
Runchu Dong
Guiqin Wang
Cong Zhao
33
1
0
05 Jun 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
40
3
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
28
1
0
14 Apr 2024
Compass: A Decentralized Scheduler for Latency-Sensitive ML Workflows
Compass: A Decentralized Scheduler for Latency-Sensitive ML Workflows
Yuting Yang
Andrea Merlina
Weijia Song
Tiancheng Yuan
Ken Birman
Roman Vitenberg
41
0
0
27 Feb 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
42
0
0
26 Feb 2024
EdgeMA: Model Adaptation System for Real-Time Video Analytics on Edge
  Devices
EdgeMA: Model Adaptation System for Real-Time Video Analytics on Edge Devices
Liang Wang
Nan Zhang
Xiaoyang Qu
Jianzong Wang
Ji-guang Wan
Guokuan Li
Kaiyu Hu
Guilin Jiang
Jing Xiao
10
2
0
17 Aug 2023
Cost-effective On-device Continual Learning over Memory Hierarchy with
  Miro
Cost-effective On-device Continual Learning over Memory Hierarchy with Miro
Xinyue Ma
Suyeon Jeong
Minjia Zhang
Di Wang
Jonghyun Choi
Myeongjae Jeon
CLL
16
13
0
11 Aug 2023
View while Moving: Efficient Video Recognition in Long-untrimmed Videos
View while Moving: Efficient Video Recognition in Long-untrimmed Videos
Ye Tian
Meng Yang
Lanshan Zhang
Zhizhen Zhang
Yang Liu
Xiao-Zhu Xie
Xirong Que
Wendong Wang
24
7
0
09 Aug 2023
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
29
4
0
04 Apr 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
10
15
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
31
14
0
01 Dec 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
16
0
0
15 Nov 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
24
46
0
01 Jun 2022
Boggart: Towards General-Purpose Acceleration of Retrospective Video
  Analytics
Boggart: Towards General-Purpose Acceleration of Retrospective Video Analytics
Neil Agarwal
Ravi Netravali
27
14
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
32
40
0
31 Oct 2019
ELASTIC: Improving CNNs with Dynamic Scaling Policies
ELASTIC: Improving CNNs with Dynamic Scaling Policies
Huiyu Wang
Aniruddha Kembhavi
Ali Farhadi
Alan Yuille
Mohammad Rastegari
119
57
0
13 Dec 2018
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