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.
- A-Level
| Conference | 2019 | 2020 | 2021 |
|---|---|---|---|
| AAAI | - | 6 | 14 |
| IJCAI | 1 | 2 | 8 |
| AISTATS | - | 3 | 7 |
| ICLR | - | 4 | 10 |
| KDD | - | 2 | - |
| INFOCOM | 2 | 7 | - |
| ICML | 4 | 6 | 18 |
| MOBICOM | - | 1 | - |
| NeurIPS | - | 17 | |
| 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 | |
| EMNLP | - | 2 | |
| ECAI | - | 2 | |
| DASFAA | - | 4 | 2 |
| CoNEXT | - | 5 | |
| ICNP | - | 2 | |
| ICPP | - | 2 | |
| ICSOC | - | 2 | |
| ICWS | 2 | 2 | |
| AIES | - | 1 | |
| IPDPS | - | 2 | |
| MIDDLEWARE | - | 3 | |
| DCC | 1 | - | |
| MOBISYS | 1 | ||
| WSDM | 1 | 2 | |
| NDSS | - | - | 3 |
| ESORICS | 1 | 2 |
- C-Level
| Conference |
|---|
| CCGRID |
| BIGDATA |
| GlobalCom |
| ICC |
| ICASSP |
| ICCCN |
| ISCAS |
| LCN |
| NCA |
| NETWORKING |
| SMC |
| WCNC |
| AMIA |
| ICIP |
| IROS |
| ICPADS |
| MSN |
| IJCNN |
| 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 | 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 | |
| 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 |
| 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 |
