Main

processing priority

4

site type

0 (generic, awaiting analysis)

review version

11

html import

20 (imported)

Events

first seen date

2024-03-08 18:18:08

expired found date

-

created at

2024-06-07 10:12:34

updated at

2025-12-30 16:25:50

Domain name statistics

length

22

crc

45018

tld

2688

nm parts

0

nm random digits

0

nm rare letters

0

Connections

is subdomain of id

-

previous id

0

replaced with id

0

related id

-

dns primary id

256482523

dns alternative id

0

lifecycle status

0 (unclassified, or currently active)

Subdomains and pages

deleted subdomains

0

page imported products

0

page imported random

0

page imported parking

0

Error counters

count skipped due to recent timeouts on the same server IP

0

count content received but rejected due to 11-799

0

count dns errors

0

count cert errors

0

count timeouts

0

count http 429

0

count http 404

0

count http 403

0

count http 5xx

0

next operation date

-

Server

server bits

server ip

-

Mainpage statistics

mp import status

20

mp rejected date

-

mp saved date

-

mp size orig

10122

mp size raw text

3488

mp inner links count

0

mp inner links status

20 (imported)

Open Graph

title

description

image

site name

author

updated

2025-12-18 16:46:04

raw text

 The Federated Learning Portal The Federated Learning Portal In this webportal, we keep track of books, workshops, conference special tracks, journal special issues, standardization effort and other notable events related to the field of Federated Learning (FL). Research Programmes Trustworthy Federated Ubiquitous Learning (TrustFUL) Research Lab , Funded by: AISG , Hosted by: Nanyang Technological University (NTU) , Singapore. Toward Trustable Model-centric Sharing for Collaborative Machine Learning , Funded by: AISG , Hosted by: National University of Singapore (NUS) , Singapore. Books Goebel, R., Yu, H., Faltings, B., Fan, L. & Xiong, Z. (Eds.). (2023). Trustworthy Federated Learning . Lecture Notes in Artificial Intelligence, vol. 13448, p. 158. Springer, Cham. 杨强、黄安埠、刘洋、陈天健 《 联邦学习实战 》 电子工业出版社, p. 340 (2021). Yang, Q., Fan, L. & Yu, H. (Eds.). (2020). Federated Learning: Privacy and Incentive . Lecture Notes in Computer Science, vol. 12500, p. 282. ...

Text analysis

redirect type

0 (-)

block type

0 (no issues)

detected language

1 (English)

category id

Zastosowania AI (149)

index version

2025110801

spam phrases

0

Text statistics

text nonlatin

48

text cyrillic

0

text characters

2556

text words

435

text unique words

242

text lines

128

text sentences

34

text paragraphs

1

text words per sentence

12

text matched phrases

8

text matched dictionaries

2

RSS

rss path

rss status

3 (priority 3 already searched, no matches found)

rss found date

-

rss size orig

0

rss items

0

rss spam phrases

0

rss detected language

0 (awaiting analysis)

inbefore feed id

-

inbefore status

0 (new)

Sitemap

sitemap path

sitemap status

1 (priority 1 already searched, no matches found)

sitemap review version

1

sitemap urls count

0

sitemap urls adult

0

sitemap filtered products

0

sitemap filtered videos

0

sitemap found date

-

sitemap process date

2024-07-02 09:56:27

sitemap first import date

-

sitemap last import date

-