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GillHuang-Xtler / flPapers

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Paper collection of federated learning. Conferences and Journals Collection for Federated Learning from 2019 to 2021, Accepted Papers, Hot topics and good research groups. Paper summary

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Federated-Learning-Conferences-Journals

Conferences and Journals Collection for Federated Learning from 2019 to 2021. For jounals, the impact factors on year 2019 are provided. For conferences, the number of accepted papers are provided.

Conferences

  • A-Level
Conference 2019 2020 2021
AAAI - 6 14
IJCAI 1 2 8
AISTATS - 3 7
ICLR - 4 10
KDD - 2 -
INFOCOM 2 7 13
ICML 4 6 18
MOBICOM - 1 -
NeurIPS - 17 32
CCS 1 -
RTSS 1 -
S&P 1 -
USENIX Security - 1 -
  • B-Level
Conference 2019 2020 2021
CIKM 1 1 -
ICDM - 1 -
COLING - 1 -
ICDCS 3 7 6
EMNLP - 2 -
ECAI - 2 -
DASFAA - 4 2
CoNEXT - 5 -
ICNP - 2 -
ICPP - 2 3
ICSOC - 2 -
ICWS 2 2 -
AIES - 1 -
IPDPS - 2 2
MIDDLEWARE - 3 -
DCC 1 - -
MOBISYS 1 - 2
WSDM 1 - 2
NDSS - - 3
ESORICS 1 2 3
  • C-Level
Conference
CCGRID
BIGDATA
GlobalCom
ICC
ICASSP
ICCCN
ISCAS
LCN
NCA
NETWORKING
SMC
WCNC
AMIA
ICIP
IROS
ICPADS
MSN
IJCNN

Journals

Impact Factor > 5.0 IF
Future Generation Computer Systems 5.6
IEEE Internet of Things 9.9
Information Science 5.9
IEEE Journal on Selected Areas in Communications 11.4
Knowledge-Based Systems 5.9
IEEE Transactions on Information Forensics and Security 6.0
IEEE Transactions on Industrial Informatics 9.1
IEEE Transactions on Signal Processing 5.0
IEEE Transactions on Wireless Communications 6.8
Communications of the ACM 7.0
IEEE Communications Magazine 11.1
IEEE Network 8.8
IEEE Transactions on Neural Networks and Learning Systems 8.8
IEEE Transactions on Vehicular Technology 5.4
Others
IEEE Access
IEEE COMMUNICATIONS LETTERS
Journal of Parallel and Distributed Computing
Journal of Software
IEEE Open Journal of the Communications Society
Sensors
IEEE Transactions on Knowledge and Data Engineering
Computer Networks
IEEE Intelligent Systems
Computers & Security
Mobile Networks and Applications

Conference Hot Topics

Conference 2019 2020 2021
AAAI - Optimization, NLP, Representation, CV, Privacy, Robustness Incentive, Robustness, Personalization, Privacy, Heterogeneous, Optimization,
IJCAI Explanation Incentive, Meta-Learning Privacy, Application, Fairness, One-shot, Heterogeneous
AISTATS - Privacy, Efficiency, Robustness Optimization, Robustness, Privacy, Compression, Personalization
ICLR - Aggregation, Robustness, Optimization Efficiency, Aggregation, Semi-Supervised Learning, Heterogeneous, Optimization, Personalization
KDD - Optimization, NLP
INFOCOM Privacy, Edge Robustness, Heterogeneous, Edge, Optimization, Security Edge, heterogeneity, Incentive, effeciency, Aggregation,
ICML Aggregation, Optimization, Robustness, Incentive Heterogeneous, Efficiency, Optimization Privacy, Personalization, Optimization, Heterogeneous, Clients Selection, Robustness
MOBICOM - Efficiency, Privacy
NeurIPS - Robustness, Optimization, Efficiency, Aggregation, Personalization, Meta-Learning, Split Learning
CCS Security
RTSS Edge
S&P Robustness
NDSS - Privacy, Robustness
USENIX Security - Robustness
WSDM Application - Application

Famous Groups

Group Topic1 Topic2 Topic3
Qiang Yang Distribution Incentive CV/NLP
Vitaly Shmatikov Robustness Personalization
Salman Avestimehr Edge Robustness Aggregation
Bingsheng He Privacy Meta-Learning
Peter Richtárik Optimization Personalization Efficiency
Virginia Smith Optimization Distribution Multi-Task
Heng Huang Optimization
Choong Seon Hong Edge
H. Vincent Poor Wireless Security Edge
Martin Jaggi Optimization Robustness
Nguyen H. Tran Optimization Personalization Edge
Mehrdad Mahdavi Optimization Personalization Efficiency
Ananda Theertha Suresh Optimization Personalization NLP
Yasaman Khazaeni Aggregation Personalization NLP
Seraphin B. Calo Robustness

Related Works

Incentives

incentive works

Robustness

poison works overview

Personalization

personalization works

Optimization_Distribution

optimization and distribution works

Communication

Communication works

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