[UAI] [meetings] Call for Papers: NeurIPS 2021 Workshop on New Frontiers in Federated Learning: Privacy, Fairness, Robustness, Personalization and Data Ownership

[Bryan Low]

[Call for Papers]: NeurIPS 2021 Workshop on New Frontiers in Federated
Learning:
Privacy, Fairness, Robustness, Personalization and Data Ownership

https://neurips2021workshopfl.github.io/NFFL-2021/


Federated Learning (FL) has recently emerged as the de facto framework for
distributed machine learning (ML) that preserves the privacy of data,
especially in the proliferation of mobile and edge devices with their
increasing capacity for storage and computation. To fully utilize the vast
amount of geographically distributed, diverse and privately owned data that
are stored across these devices, FL provides a platform on which local
devices can build their own local models whose training processes can be
synchronized via sharing differential parameter updates. This is done
without exposing their private training data, which helps mitigate the risk
of privacy violation, in light of recent policies such as the General Data
Protection Regulation (GDPR). Such potential use of FL has since then led
to an explosive attention from the ML community, resulting in a vast,
growing amount of both theoretical and empirical literature that push FL
closer to being the new standard of ML as a democratized data analytics
service.



Interestingly, as FL comes closer to being deployable in real-world
scenarios, it also surfaces a growing set of challenges on trustworthiness,
fairness, auditability, scalability, robustness, security, privacy
preservation, decentralizability, data ownership and personalizability that
are all becoming increasingly important in many interrelated aspects of our
digitized society. Such challenges are particularly important in economic
landscapes that do not have the presence of big tech corporations with big
data and are instead driven by government agencies and institutions with
valuable data locked up or small-to-medium enterprises & start-ups with
limited data and little funding. With this forethought, the workshop
envisions the establishment of an AI ecosystem that facilitates data and
model sharing between data curators as well as interested parties in the
data and models while protecting personal data ownership.



Our workshop will feature exciting keynote speeches from a group of
influential researchers: Alex Pentland (MIT), Dawn Song (UC Berkeley), Asu
Ozdaglar (MIT), Marten van Dijk (CWI), Virginia Smith (CMU), and Peter
Richtarik (KAUST). In addition, we also invite researchers to submit work
in (but not limited to) the following areas:


Personalized Federated Learning

Differential Privacy in Federated Learning

Fairness in Federated Learning

Optimization for Large-Scale Federated Learning Systems

Certifiable Robustness for Federated Learning

Trustworthiness, Auditability and Verification in Federated Learning

Model Aggregation and Protecting Personal Data Ownership



Accepted papers are considered workshop papers and can be
submitted/published elsewhere. Published papers in this workshop are
non-archival but will be stored permanently on the workshop website.

A more detailed CFP of our workshop along with submission instructions can
be found here:

https://neurips2021workshopfl.github.io/NFFL-2021/cfp.html



Organizing Committee


Trong Nghia Hoang, Senior Research Scientist, AWS AI Labs

Lam Nguyen, Research Staff Member, IBM Research

Lily Weng, Assistant Professor, UC San Diego

Pin-Yu Chen, Research Staff Member, IBM Research

Sara Magliacane, Assistant Professor, University of Amsterdam

Bryan Kian Hsiang Low, Associate Professor, National University of Singapore

Anoop Deoras, Principal Applied Scientist, AWS AI Labs



If you have any questions, please let us know at
neurips2021worksho...@gmail.com.


-- 
Regards,
Bryan Low
Associate Professor of Computer Science, National University of Singapore
Director of AI Research, AI Singapore
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[UAI] CFP: DATA STREAMS TRACK - ACM SAC 2022 (Submission deadline: October 15, 2021)

[Carlos]

*ACM Symposium on Applied Computing *

The 37th ACM/SIGAPP Symposium on Applied Computing in Brno, Czech Republic

April 25 – April 29, 2022

https://www.sigapp.org/sac/sac2022/


*Data Streams Track *

https://abifet.github.io/SAC2022/




*Call for Papers *

The rapid development in Big Data information science and technology in
general and in growth complexity and volume of data in particular has
introduced new challenges for the research
community. Many sources produce data continuously. Examples include the
Internet of Things (IoT), Smart Cities, Urban Computing, sensor
networks, wireless networks, radio frequency
identification, health-care devices and information systems, customer
click streams, telephone records, multimedia data, scientific data, sets
of retail chain transactions, etc. These
sources are called data streams. A data stream is an ordered sequence of
instances that can be read only once or a small number of times using
limited computing and storage capabilities.
These sources of data are characterized by being open-ended, flowing at
high-speed, and generated by non stationary distributions.


*TOPICS OF INTEREST *

We are looking for original, unpublished work related to algorithms,
methods and applications on big data streams and large scale machine
learning. Topics include (but are not restricted) to:


* Real-Time Analytics

* Big Data Mining

* Data Stream Models

* Large Scale Machine Learning

* Languages for Stream Query

* Continuous Queries

* Clustering from Data Streams

* Decision Trees from Data Streams

* Association Rules from Data Streams

* Decision Rules from Data Streams

* Bayesian Networks from Data Streams

* Neural Networks for Data Streams

* Feature Selection from Data Streams

* Visualization Techniques for Data Streams

* Incremental on-line Learning Algorithms

* Single-Pass Algorithms

* Temporal, spatial, and spatio-temporal data mining

* Scalable Algorithms

* Real-Time and Real-World Applications using Stream data

* Distributed and Social Stream Mining

* Urban Computing, Smart Cities

* Internet of Things (IoT)


* IMPORTANT DATES  *

1. Submission deadline: October 15, 2021

2. Notification deadline: December 10, 2021

3. Camera-ready deadline: December 21, 2021



*PAPER SUBMISSION GUIDELINES *


Papers should be submitted in PDF. Authors are invited to submit
original papers in all topics related to data streams. All papers should
be submitted in ACM 2-column camera ready format for publication in the
symposium proceedings. ACM SAC follows a double blind review process.
Consequently, the author(s) name(s) and address(s) must NOT appear in
the body of the submitted paper, and self-references should be in the
third person. This is to facilitate double blind review required by ACM.
All submitted papers must include the paper identification number
provided by the eCMS system when the paper is first registered. The number
must appear on the front page, above the title of the paper. Each
submitted paper will be fully refereed and undergo a blind review
process by at least three referees. The conference proceedings will be
published
by ACM. The maximum number of pages allowed for the final papers is 8
pages. There is a set of templates to support the required paper format
for a number of document preparation systems at
https://www.sigapp.org/sac/sac2022/authorkit.html


Important notice:

1. Please submit your contribution via SAC 2022 Webpage:
https://www.softconf.com/m/sac2022/
2. Paper registration is required, allowing the inclusion of the paper,
poster, or SRC abstract in the conference proceedings. An author or a
proxy attending SAC MUST present the paper. This is a requirement for
including the work in the ACM/IEEE digital library. No-show of
registered papers, posters, and SRC abstracts will result in excluding
them from the ACM/IEEE digital library.


If you encounter any problems with your submission, please contact the
Program Coordinator.


Carlos Ferreira


ISEP | Instituto Superior de Engenharia do Porto
Rua Dr. António Bernardino de Almeida, 431
4249-015 Porto - PORTUGAL
tel. +351 228 340 500 | fax +351 228 321 159
m...@isep.ipp.pt | www.isep.ipp.pt

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[UAI] CFP: DATA STREAMS TRACK - ACM SAC 2022 (Submission deadline: October 15, 2021)

[Carlos]

*ACM Symposium on Applied Computing *

The 37th ACM/SIGAPP Symposium on Applied Computing in Brno, Czech Republic

April 25 – April 29, 2022

https://www.sigapp.org/sac/sac2022/


*Data Streams Track *

https://abifet.github.io/SAC2022/




*Call for Papers *

The rapid development in Big Data information science and technology in
general and in growth complexity and volume of data in particular has
introduced new challenges for the research
community. Many sources produce data continuously. Examples include the
Internet of Things (IoT), Smart Cities, Urban Computing, sensor
networks, wireless networks, radio frequency
identification, health-care devices and information systems, customer
click streams, telephone records, multimedia data, scientific data, sets
of retail chain transactions, etc. These
sources are called data streams. A data stream is an ordered sequence of
instances that can be read only once or a small number of times using
limited computing and storage capabilities.
These sources of data are characterized by being open-ended, flowing at
high-speed, and generated by non stationary distributions.


*TOPICS OF INTEREST *

We are looking for original, unpublished work related to algorithms,
methods and applications on big data streams and large scale machine
learning. Topics include (but are not restricted) to:


* Real-Time Analytics

* Big Data Mining

* Data Stream Models

* Large Scale Machine Learning

* Languages for Stream Query

* Continuous Queries

* Clustering from Data Streams

* Decision Trees from Data Streams

* Association Rules from Data Streams

* Decision Rules from Data Streams

* Bayesian Networks from Data Streams

* Neural Networks for Data Streams

* Feature Selection from Data Streams

* Visualization Techniques for Data Streams

* Incremental on-line Learning Algorithms

* Single-Pass Algorithms

* Temporal, spatial, and spatio-temporal data mining

* Scalable Algorithms

* Real-Time and Real-World Applications using Stream data

* Distributed and Social Stream Mining

* Urban Computing, Smart Cities

* Internet of Things (IoT)


* IMPORTANT DATES  *

1. Submission deadline: October 15, 2021

2. Notification deadline: December 10, 2021

3. Camera-ready deadline: December 21, 2021



*PAPER SUBMISSION GUIDELINES *


Papers should be submitted in PDF. Authors are invited to submit
original papers in all topics related to data streams. All papers should
be submitted in ACM 2-column camera ready format for publication in the
symposium proceedings. ACM SAC follows a double blind review process.
Consequently, the author(s) name(s) and address(s) must NOT appear in
the body of the submitted paper, and self-references should be in the
third person. This is to facilitate double blind review required by ACM.
All submitted papers must include the paper identification number
provided by the eCMS system when the paper is first registered. The number
must appear on the front page, above the title of the paper. Each
submitted paper will be fully refereed and undergo a blind review
process by at least three referees. The conference proceedings will be
published
by ACM. The maximum number of pages allowed for the final papers is 8
pages. There is a set of templates to support the required paper format
for a number of document preparation systems at
https://www.sigapp.org/sac/sac2022/authorkit.html


Important notice:

1. Please submit your contribution via SAC 2022 Webpage:
https://www.softconf.com/m/sac2022/
2. Paper registration is required, allowing the inclusion of the paper,
poster, or SRC abstract in the conference proceedings. An author or a
proxy attending SAC MUST present the paper. This is a requirement for
including the work in the ACM/IEEE digital library. No-show of
registered papers, posters, and SRC abstracts will result in excluding
them from the ACM/IEEE digital library.


If you encounter any problems with your submission, please contact the
Program Coordinator.


Carlos Ferreira


ISEP | Instituto Superior de Engenharia do Porto
Rua Dr. António Bernardino de Almeida, 431
4249-015 Porto - PORTUGAL
tel. +351 228 340 500 | fax +351 228 321 159
m...@isep.ipp.pt | www.isep.ipp.pt

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[UAI] Postdoc and Summer Fellowships at the Harvard University's Center for Research on Computation and Society

[Joshi, Shalmali]

I would like to share the following openings at Harvard University's Center
for Research on Computation and Society (CRCS) at the John A Paulson School
of Engineering and Sciences (SEAS):

*Openings:*
*Postdoctoral Fellowships*:
https://crcs.seas.harvard.edu/crcs-postdoc-application (Application
deadline is December 1, 2021)
Application link: https://academicpositions.harvard.edu/postings/10607

Areas of specific research interest for the 2022-2023 academic year include
conservation and population health. Research in this arena may involve,
among myriad other possibilities, the use of AI for protecting endangered
wildlife, fisheries, and forests; the use of technology to detect and
prevent disease; public health challenges amongst those experiencing
homelessness, pandemic prevention, or strategies to promote health equity;
and ethics and fairness in the application of technological innovation to
societal problems. Privacy and security are topics that continue to remain
of interest to CRCS.

*CRCS Summer Fellowships for PhD students:*
https://crcs.seas.harvard.edu/2022-crcs-fellowship

Projects for 2022 fellows will be focused on computational approaches to
population health and conservation and may cover the following areas: (1)
computational public health, such as for tuberculosis and maternal health,
(2) building and analyzing visualization platforms to enhance experiences
for social workers and policy-makers, (3) Innovative techniques to predict
threats to endangered wildlife, (4) projects in collaboration with
colleagues at related interdisciplinary centers, such as C-Change and HGHI,
and (5) other related topics.

Additional details and application instructions are in the links For both
positions, please reach out to *Hila Bernstein* at: *cr...@seas.harvard.edu
* for additional questions and/or details.

Best,
Shalmali Joshi
CRCS Postdoctoral Fellow
Harvard University
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[UAI] 2022 IEEE International Conference on Evolving and Adaptive Intelligent Systems (IEEE EAIS 2022): Final Call for Special Sessions Proposals

[George A. Papadopoulos]

*** Final Call for Special Sessions Proposals ***

2022 IEEE International Conference on Evolving and Adaptive
Intelligent Systems (IEEE EAIS 2022)

May 25-27, 2022, Golden Bay Hotel 5*, Larnaca, Cyprus

http://cyprusconferences.org/eais2022/

(Proceedings to be published by the IEEE Xplore Digital Library;
Special Journal Issue with Evolving Systems, Springer)


IEEE EAIS 2022 will provide a working and friendly atmosphere and will be a
leading international forum focusing on the discussion of recent advances,
the exchange of recent innovations and the outline of open important future
challenges in the area of Evolving and Adaptive Intelligent Systems. Over the
past decade, this area has emerged to play an important role on a broad
international level in today's real-world applications, especially those ones
with high complexity and dynamic changes. Its embedded modelling and
learning methodologies are able to cope with real-time demands, changing
operation conditions, varying environmental influences, human behaviours, 
knowledge expansion scenarios and drifts in online data streams.



Conference Topics

Basic Methodologies
Evolving Soft Computing Techniques. Evolving Fuzzy Systems. Evolving
Rule-Based Classifiers. Evolving Neuro-Fuzzy Systems. Adaptive
Evolving Neural Networks. Online Genetic and Evolutionary Algorithms. Data
Stream Mining. Incremental and Evolving Clustering. Adaptive
Pattern Recognition. Incremental and Evolving ML Classifiers. Adaptive
Statistical Techniques. Evolving Decision Systems. Big Data.

Problems and Methodologies in Data Streams
Stability, Robustness, Convergence in Evolving Systems. Online Feature
Selection and Dimension Reduction. Online Active and Semi-supervised 
Learning. Online Complexity Reduction. Computational Aspects. 
Interpretability Issues. Incremental Adaptive Ensemble Methods. Online 
Bagging and Boosting. Self-monitoring Evolving Systems. Human-Machine

Interaction Issues. Hybrid Modelling, Transfer Learning. Reservoir Computing.

Applications of EAIS
Time Series Prediction. Data Stream Mining and Adaptive Knowledge 
Discovery. Robotics. Intelligent Transport and Advanced Manufacturing.
Advanced Communications and Multimedia Applications. Bioinformatics and 
Medicine. Online Quality Control and Fault Diagnosis. Condition
Monitoring Systems. Adaptive Evolving Controller Design. User Activities 
Recognition. Huge Database and Web Mining. Visual Inspection and
Image Classification. Image Processing. Cloud Computing. Multiple Sensor 
Networks. Query Systems and Social Networks. Alternative Statistical and 
Machine Learning Approaches.



Special Sessions Proposals

Distinguished researchers working in theory, analysis and applications of
evolving adaptive and intelligent systems and related areas are encouraged to
submit proposals within the technical scope of IEEE EAIS 2022. Researchers
interested in organising special sessions are invited to submit a formal 
proposal to the Special Sessions Chair Gabriella Casalino 
(gabriella.casal...@uniba.it) and to the General Chair George Angelos 
Papadopoulos (geo...@cs.ucy.ac.cy), by specifying:

- Special Session Lead Organiser email address, details and mini-bio
- Co-Organiser(s) details and mini-bio (optional)
- Special Session title
- Aim and scope of the Special Session (~half a page)
- A list of main topics of the Special Session
- A list of potential/expected contributors


Important Dates

• Special Session proposal submission: October 1, 2021
• Special Session proposal acceptance: October 10, 2021
• Paper submission: January 10, 2022
• Notification of acceptance/rejection: February 19, 2022
• Camera ready submission: March 20, 2022
• Authors registration: March 20, 2022
• Conference Dates: May 25-27, 2022


Social Media

FB: https://www.facebook.com/IAIS
Twitter: https://twitter.com/IEEE_EAIS
Linkedin: 
https://www.linkedin.com/events/2022ieeeconferenceonevolvingand6815560078674972672/


Organization

Honorary Chairs
• Dimitar Filev, Ford Motor Co., USA
• Nikola Kasabov, Auckland University of Technology, New Zealand

General Chairs
• George A. Papadopoulos, University of Cyprus, Nicosia, Cyprus
• Plamen Angelov, Lancaster University, UK

Program Committee Chairs
• Giovanna Castellano, University of Bari, Italy
• José A. Iglesias, Carlos III University of Madrid, Spain
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[UAI] IPMU 2022 -- CALL FOR SPECIAL SESSION PROPOSALS

[Davide Elio Ciucci]

... Apologies for multiple posting ...

CALL FOR SPECIAL SESSION PROPOSALS
The 19th International Conference on Information Processing and Management of 
Uncertainty in Knowledge-Based Systems (IPMU)

July 11-15, 2022 – Milan, Italy

https://ipmu2022.disco.unimib.it/ 
IPMU’2022 seeks original research contributions of a theoretical and 
methodological nature as well as application-oriented contributions. Leading 
researchers and practitioners are invited to submit proposals for Special 
Sessions. The proponents are expected to provide sufficient evidence in support 
of their special session topic, explaining why it deserves distinct focus and 
how it relates to the themes of the conference. Evidence of the potential to 
attract a sufficient number of submissions to the special session should also 
be provided. Each special session is expected to attract 4 – 6 accepted papers.

PROPOSAL FORMAT

Send your proposal to the Special Sessions Chair Célia da Costa Pereira 
(celia.da-costa-pere...@univ-cotedazur.fr 
) in pdf format before Friday, 
15 October 2021. Decisions on acceptance or rejection will be provided by 
Sunday, 31 October 2021. The proposals should include the following information:

Title of the session
List of organizers with contact details and short biographical details (up to 
100 words for each organizer)
Description of the session, why the topic needs specific attention and how it 
relates to IPMU’2022 themes.
REVIEW PROCESS OF SPECIAL SESSION SUBMISSIONS

Papers submitted to the accepted special sessions will be treated as regular 
papers from both the perspective of the review process and of the proceedings 
(e.g., length, timeline). However, the session organizers will be asked to 
nominate reviewers.

KEY DATES FOR SPECIAL SESSION PROPOSAL


Special Session Proposals: Friday, 15 October 2021


Notification of Special Sessions Acceptance: Sunday, 31 October 2021


Submission of Full Papers: Friday, 14 January 2022


Notification of Acceptance: Tuesday, 1 March 2022


Camera-ready Submission: Friday, 15 April 2022

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