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. 1712.05855
  4. Cited By
A Berkeley View of Systems Challenges for AI

A Berkeley View of Systems Challenges for AI

15 December 2017
Ion Stoica
D. Song
Raluca A. Popa
D. Patterson
Michael W. Mahoney
R. Katz
A. Joseph
Michael I. Jordan
J. M. Hellerstein
Joseph E. Gonzalez
Ken Goldberg
A. Ghodsi
David Culler
Pieter Abbeel
ArXivPDFHTML

Papers citing "A Berkeley View of Systems Challenges for AI"

33 / 33 papers shown
Title
The e-Bike Motor Assembly: Towards Advanced Robotic Manipulation for
  Flexible Manufacturing
The e-Bike Motor Assembly: Towards Advanced Robotic Manipulation for Flexible Manufacturing
Leonel Rozo
A. Kupcsik
Philipp Schillinger
Meng Guo
R. Krug
...
Patrick Kesper
Sabrina Hoppe
Hanna Ziesche
M. Burger
Kai O. Arras
38
5
0
20 Apr 2023
Distributed Learning With Sparsified Gradient Differences
Distributed Learning With Sparsified Gradient Differences
Yicheng Chen
Rick S. Blum
Martin Takáč
Brian M. Sadler
42
15
0
05 Feb 2022
Backdoors Stuck At The Frontdoor: Multi-Agent Backdoor Attacks That
  Backfire
Backdoors Stuck At The Frontdoor: Multi-Agent Backdoor Attacks That Backfire
Siddhartha Datta
N. Shadbolt
AAML
41
7
0
28 Jan 2022
Hiding Behind Backdoors: Self-Obfuscation Against Generative Models
Hiding Behind Backdoors: Self-Obfuscation Against Generative Models
Siddhartha Datta
N. Shadbolt
SILM
AAML
AI4CE
25
2
0
24 Jan 2022
Robust Distributed Bayesian Learning with Stragglers via Consensus Monte
  Carlo
Robust Distributed Bayesian Learning with Stragglers via Consensus Monte Carlo
Hari Hara Suthan Chittoor
Osvaldo Simeone
34
0
0
17 Dec 2021
Shifting Capsule Networks from the Cloud to the Deep Edge
Shifting Capsule Networks from the Cloud to the Deep Edge
Miguel Costa
Diogo Costa
T. Gomes
Sandro Pinto
34
5
0
06 Oct 2021
Failure Prediction in Production Line Based on Federated Learning: An
  Empirical Study
Failure Prediction in Production Line Based on Federated Learning: An Empirical Study
Ning Ge
Guanghao Li
Li Zhang
Yi Liu
FedML
29
45
0
25 Jan 2021
Machine Learning Systems in the IoT: Trustworthiness Trade-offs for Edge
  Intelligence
Machine Learning Systems in the IoT: Trustworthiness Trade-offs for Edge Intelligence
Wiebke Toussaint
Aaron Yi Ding
40
11
0
01 Dec 2020
AI Governance for Businesses
AI Governance for Businesses
Johannes Schneider
Rene Abraham
Christian Meske
Jan vom Brocke
AI4TS
32
67
0
20 Nov 2020
POSEIDON: Privacy-Preserving Federated Neural Network Learning
POSEIDON: Privacy-Preserving Federated Neural Network Learning
Sinem Sav
Apostolos Pyrgelis
J. Troncoso-Pastoriza
D. Froelicher
Jean-Philippe Bossuat
João Sá Sousa
Jean-Pierre Hubaux
FedML
19
153
0
01 Sep 2020
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive
  Review
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review
Yansong Gao
Bao Gia Doan
Zhi-Li Zhang
Siqi Ma
Jiliang Zhang
Anmin Fu
Surya Nepal
Hyoungshick Kim
AAML
36
221
0
21 Jul 2020
Hindsight Logging for Model Training
Hindsight Logging for Model Training
Rolando Garcia
Eric Liu
Vikram Sreekanti
Bobby Yan
Anusha Dandamudi
Joseph E. Gonzalez
J. M. Hellerstein
Koushik Sen
VLM
29
10
0
12 Jun 2020
Towards Ubiquitous AI in 6G with Federated Learning
Towards Ubiquitous AI in 6G with Federated Learning
Yong Xiao
Guangming Shi
Marwan Krunz
FedML
27
41
0
26 Apr 2020
DeepHammer: Depleting the Intelligence of Deep Neural Networks through
  Targeted Chain of Bit Flips
DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips
Fan Yao
Adnan Siraj Rakin
Deliang Fan
AAML
18
155
0
30 Mar 2020
Large-Scale Discrete Fourier Transform on TPUs
Large-Scale Discrete Fourier Transform on TPUs
Tianjian Lu
Yi-Fan Chen
Blake A. Hechtman
Tao Wang
John R. Anderson
13
33
0
09 Feb 2020
Helen: Maliciously Secure Coopetitive Learning for Linear Models
Helen: Maliciously Secure Coopetitive Learning for Linear Models
Wenting Zheng
Raluca A. Popa
Joseph E. Gonzalez
Ion Stoica
FedML
29
144
0
16 Jul 2019
Declarative Learning-Based Programming as an Interface to AI Systems
Declarative Learning-Based Programming as an Interface to AI Systems
Parisa Kordjamshidi
Dan Roth
Kristian Kersting
22
4
0
18 Jun 2019
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with
  Edge Computing
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing
Zhi Zhou
Xu Chen
En Li
Liekang Zeng
Ke Luo
Junshan Zhang
44
1,421
0
24 May 2019
Evolving the pulmonary nodules diagnosis from classical approaches to
  deep learning aided decision support: three decades development course and
  future prospect
Evolving the pulmonary nodules diagnosis from classical approaches to deep learning aided decision support: three decades development course and future prospect
Bo Liu
Wenhao Chi
Xinran Li
Peng Li
W. Liang
Haiping Liu
Wei Wang
Jianxing He
24
69
0
23 Jan 2019
Federated Learning via Over-the-Air Computation
Federated Learning via Over-the-Air Computation
Kai Yang
Tao Jiang
Yuanming Shi
Z. Ding
FedML
33
873
0
31 Dec 2018
JALAD: Joint Accuracy- and Latency-Aware Deep Structure Decoupling for
  Edge-Cloud Execution
JALAD: Joint Accuracy- and Latency-Aware Deep Structure Decoupling for Edge-Cloud Execution
Hongshan Li
Chenghao Hu
Jingyan Jiang
Zhi Wang
Yonggang Wen
Wenwu Zhu
23
133
0
25 Dec 2018
Machine Learning in Cyber-Security - Problems, Challenges and Data Sets
Machine Learning in Cyber-Security - Problems, Challenges and Data Sets
Idan Amit
John Matherly
W. Hewlett
Zhi Xu
Yinnon Meshi
Yigal Weinberger
23
50
0
19 Dec 2018
Communication-Efficient Policy Gradient Methods for Distributed
  Reinforcement Learning
Communication-Efficient Policy Gradient Methods for Distributed Reinforcement Learning
Tianyi Chen
Kaipeng Zhang
G. Giannakis
Tamer Basar
OffRL
29
41
0
07 Dec 2018
A First Look at Deep Learning Apps on Smartphones
A First Look at Deep Learning Apps on Smartphones
Mengwei Xu
Jiawei Liu
Yuanqiang Liu
F. Lin
Yunxin Liu
Xuanzhe Liu
HAI
33
177
0
08 Nov 2018
Stability-certified reinforcement learning: A control-theoretic
  perspective
Stability-certified reinforcement learning: A control-theoretic perspective
Ming Jin
Javad Lavaei
33
85
0
26 Oct 2018
FinBrain: When Finance Meets AI 2.0
FinBrain: When Finance Meets AI 2.0
Xiaolin Zheng
Mengying Zhu
Qibing Li
Chaochao Chen
Yanchao Tan
AIFin
34
53
0
26 Aug 2018
MLCapsule: Guarded Offline Deployment of Machine Learning as a Service
MLCapsule: Guarded Offline Deployment of Machine Learning as a Service
L. Hanzlik
Yang Zhang
Kathrin Grosse
A. Salem
Maximilian Augustin
Michael Backes
Mario Fritz
OffRL
22
103
0
01 Aug 2018
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed
  Learning
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning
Tianyi Chen
G. Giannakis
Tao Sun
W. Yin
34
297
0
25 May 2018
AGI Safety Literature Review
AGI Safety Literature Review
Tom Everitt
G. Lea
Marcus Hutter
AI4CE
36
115
0
03 May 2018
FutureMapping: The Computational Structure of Spatial AI Systems
FutureMapping: The Computational Structure of Spatial AI Systems
Andrew J. Davison
34
70
0
29 Mar 2018
Big Data and Fog Computing
Big Data and Fog Computing
Yogesh L. Simmhan
GNN
15
23
0
27 Dec 2017
AI Safety Gridworlds
AI Safety Gridworlds
Jan Leike
Miljan Martic
Victoria Krakovna
Pedro A. Ortega
Tom Everitt
Andrew Lefrancq
Laurent Orseau
Shane Legg
44
250
0
27 Nov 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
104
1,505
0
25 Jan 2017
1