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@@ -1130,10 +1130,10 @@ Federated Learning papers accepted by top CV(computer vision) conference and jou
 | Robust Heterogeneous Federated Learning under Data Corruption | WHU | ICCV | 2023 | [[PUB](https://openaccess.thecvf.com/content/ICCV2023/html/Fang_Robust_Heterogeneous_Federated_Learning_under_Data_Corruption_ICCV_2023_paper.html)] [[CODE](https://github.com/FangXiuwen/AugHFL)] [[SUPP](https://openaccess.thecvf.com/content/ICCV2023/supplemental/Fang_Robust_Heterogeneous_Federated_ICCV_2023_supplemental.pdf)] |
 | Personalized Semantics Excitation for Federated Image Classification | Tulane University | ICCV | 2023 | [[PUB](https://openaccess.thecvf.com/content/ICCV2023/html/Xia_Personalized_Semantics_Excitation_for_Federated_Image_Classification_ICCV_2023_paper.html)] [[CODE](https://github.com/HaifengXia/PSE)] |
 | Reducing Training Time in Cross-Silo Federated Learning Using Multigraph Topology | AIOZ | ICCV | 2023 | [[PUB](https://openaccess.thecvf.com/content/ICCV2023/html/Do_Reducing_Training_Time_in_Cross-Silo_Federated_Learning_Using_Multigraph_Topology_ICCV_2023_paper.html)] [[PDF](http://arxiv.org/abs/2207.09657)] [[CODE](https://github.com/aioz-ai/MultigraphFL)] [[SUPP](https://openaccess.thecvf.com/content/ICCV2023/supplemental/Do_Reducing_Training_Time_in_Cross-Silo_Federated_Learning_Using_Multigraph_Topology_ICCV_2023_supplemental.pdf)] |
-| Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning. | Politecnico di Torino | ICCV workshop | 2023 | [PUB](https://ieeexplore.ieee.org/document/10350693) [PDF](https://arxiv.org/abs/2310.01366) |
-| Experience Replay as an Effective Strategy for Optimizing Decentralized Federated Learning. | University of Catania | ICCV workshop | 2023 | [PUB](https://ieeexplore.ieee.org/document/10350429) |
-| FedRCIL: Federated Knowledge Distillation for Representation based Contrastive Incremental Learning. | Centre for Research and Technology Hellas; University of West Attica | ICCV workshop | 2023 | [PUB](https://ieeexplore.ieee.org/document/10350898) [CODE](https://github.com/chatzikon/FedRCIL) |
-| FedLID: Self-Supervised Federated Learning for Leveraging Limited Image Data. | Centre for Research and Technology Hellas; University of West Attica | ICCV workshop | 2023 | [PUB](https://ieeexplore.ieee.org/document/10350371) |
+| Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning. | Politecnico di Torino | ICCV workshop | 2023 | [[PUB](https://ieeexplore.ieee.org/document/10350693)] [[PDF](https://arxiv.org/abs/2310.01366)] |
+| Experience Replay as an Effective Strategy for Optimizing Decentralized Federated Learning. | University of Catania | ICCV workshop | 2023 | [[PUB](https://ieeexplore.ieee.org/document/10350429)] |
+| FedRCIL: Federated Knowledge Distillation for Representation based Contrastive Incremental Learning. | Centre for Research and Technology Hellas; University of West Attica | ICCV workshop | 2023 | [[PUB](https://ieeexplore.ieee.org/document/10350898)] [[CODE](https://github.com/chatzikon/FedRCIL)] |
+| FedLID: Self-Supervised Federated Learning for Leveraging Limited Image Data. | Centre for Research and Technology Hellas; University of West Attica | ICCV workshop | 2023 | [[PUB](https://ieeexplore.ieee.org/document/10350371)] |
 | Rethinking Federated Learning With Domain Shift: A Prototype View | WHU | CVPR | 2023 | [[PUB](https://openaccess.thecvf.com/content/CVPR2023/html/Huang_Rethinking_Federated_Learning_With_Domain_Shift_A_Prototype_View_CVPR_2023_paper.html)] [[CODE](https://github.com/WenkeHuang/RethinkFL)] |
 | Class Balanced Adaptive Pseudo Labeling for Federated Semi-Supervised Learning | ECNU | CVPR | 2023 | [[PUB](https://openaccess.thecvf.com/content/CVPR2023/html/Li_Class_Balanced_Adaptive_Pseudo_Labeling_for_Federated_Semi-Supervised_Learning_CVPR_2023_paper.html)] [[CODE](https://github.com/minglllli/CBAFed)] |
 | DaFKD: Domain-Aware Federated Knowledge Distillation | HUST | CVPR | 2023 | [[PUB](https://openaccess.thecvf.com/content/CVPR2023/html/Wang_DaFKD_Domain-Aware_Federated_Knowledge_Distillation_CVPR_2023_paper.html)] [[CODE](https://github.com/haozhaowang/DaFKD2023)] |
@@ -1512,7 +1512,7 @@ Federated Learning papers accepted by top Database conference and journal, inclu
 | ------------------------------------------------------------ | ------------------------- | ------------------------- | ---- | ------------------------------------------------------------ |
 | FedComp: A Federated Learning Compression Framework for Resource-Constrained Edge Computing Devices | HIT | TCAD | 2024 | [[PUB](https://ieeexplore.ieee.org/document/10226409)] |
 | Age-Aware Data Selection and Aggregator Placement for Timely Federated Continual Learning in Mobile Edge Computing | DLUT | TC | 2024 | [[PUB](https://ieeexplore.ieee.org/document/10324368)] |
-| FedGKD: Toward Heterogeneous Federated Learning via Global Knowledge Distillation | HUST | TC | 2024 | [[PUB](https://ieeexplore.ieee.org/document/10252049)] [PDF](https://arxiv.org/abs/2107.00051) |
+| FedGKD: Toward Heterogeneous Federated Learning via Global Knowledge Distillation | HUST | TC | 2024 | [[PUB](https://ieeexplore.ieee.org/document/10252049)] [[PDF](https://arxiv.org/abs/2107.00051)] |
 | Digital Twin-Assisted Federated Learning Service Provisioning Over Mobile Edge Networks | SDU | TC | 2024 | [[PUB](https://ieeexplore.ieee.org/document/10335637)] |
 | REFL: Resource-Efficient Federated Learning | QMUL | EuroSys | 2023 | [[PUB](https://dl.acm.org/doi/10.1145/3552326.3567485)] [[PDF](https://arxiv.org/abs/2111.01108)] [[CODE](https://github.com/ahmedcs/refl)] |
 | A First Look at the Impact of Distillation Hyper-Parameters in Federated Knowledge Distillation |  | EuroSys workshop | 2023 | [[PUB](https://dl.acm.org/doi/10.1145/3578356.3592590)] |

diff --git a/data.yaml b/data.yaml
@@ -8591,28 +8591,34 @@ fl-in-top-cv-conference-and-journal:
       SUPP: https://openaccess.thecvf.com/content/ICCV2023/supplemental/Do_Reducing_Training_Time_in_Cross-Silo_Federated_Learning_Using_Multigraph_Topology_ICCV_2023_supplemental.pdf
   - title: Window-based Model Averaging Improves Generalization in Heterogeneous Federated
       Learning.
-    affiliation: ''
+    affiliation: Politecnico di Torino
     venue: ICCV workshop
     year: '2023'
-    materials: {}
+    materials:
+      PUB: https://ieeexplore.ieee.org/document/10350693
+      PDF: https://arxiv.org/abs/2310.01366
   - title: Experience Replay as an Effective Strategy for Optimizing Decentralized
       Federated Learning.
-    affiliation: ''
+    affiliation: University of Catania
     venue: ICCV workshop
     year: '2023'
-    materials: {}
+    materials:
+      PUB: https://ieeexplore.ieee.org/document/10350429
   - title: 'FedRCIL: Federated Knowledge Distillation for Representation based Contrastive
       Incremental Learning.'
-    affiliation: ''
+    affiliation: Centre for Research and Technology Hellas; University of West Attica
     venue: ICCV workshop
     year: '2023'
-    materials: {}
+    materials:
+      PUB: https://ieeexplore.ieee.org/document/10350898
+      CODE: https://github.com/chatzikon/FedRCIL
   - title: 'FedLID: Self-Supervised Federated Learning for Leveraging Limited Image
       Data.'
-    affiliation: ''
+    affiliation: Centre for Research and Technology Hellas; University of West Attica
     venue: ICCV workshop
     year: '2023'
-    materials: {}
+    materials:
+      PUB: https://ieeexplore.ieee.org/document/10350371
   - title: 'Rethinking Federated Learning With Domain Shift: A Prototype View'
     affiliation: WHU
     venue: CVPR
@@ -10641,27 +10647,28 @@ fl-in-top-system-conference-and-journal:
   body:
   - title: 'FedComp: A Federated Learning Compression Framework for Resource-Constrained
       Edge Computing Devices'
-    affiliation: ''
+    affiliation: HIT
     venue: TCAD
     year: '2024'
     materials:
       PUB: https://ieeexplore.ieee.org/document/10226409
   - title: Age-Aware Data Selection and Aggregator Placement for Timely Federated
       Continual Learning in Mobile Edge Computing
-    affiliation: ''
+    affiliation: DLUT
     venue: TC
     year: '2024'
     materials:
       PUB: https://ieeexplore.ieee.org/document/10324368
   - title: 'FedGKD: Toward Heterogeneous Federated Learning via Global Knowledge Distillation'
-    affiliation: ''
+    affiliation: HUST
     venue: TC
     year: '2024'
     materials:
       PUB: https://ieeexplore.ieee.org/document/10252049
+      PDF: https://arxiv.org/abs/2107.00051
   - title: Digital Twin-Assisted Federated Learning Service Provisioning Over Mobile
       Edge Networks
-    affiliation: ''
+    affiliation: SDU
     venue: TC
     year: '2024'
     materials: