Web and Big Data 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 – September 1, 2024, Proceedings, Part IV /
The five-volume set LNCS 14961, 14962, 14963, 14964 and 14965 constitutes the refereed conference proceedings of the 8th International Joint Conference on Web and Big Data, APWeb-WAIM 2024, held in Jinhua, China, during August 30–September 1, 2024. The 171 full papers presented in these proceedings...
I tiakina i:
| Kaituhi rangatōpū: | |
|---|---|
| Ētahi atu kaituhi: | , , , , , |
| Hōputu: | Tāhiko īPukapuka |
| Reo: | Ingarihi |
| I whakaputaina: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2024.
|
| Putanga: | 1st ed. 2024. |
| Rangatū: | Lecture Notes in Computer Science,
14964 |
| Ngā marau: | |
| Urunga tuihono: | https://doi.org/10.1007/978-981-97-7241-4 |
| Ngā Tūtohu: |
Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
|
Rārangi ihirangi:
- -- Database System and Query Optimization.
- SAM: A Spatial-aware Learned Index for Disk-Based Multi-dimensional Search.
- BIVXDB: A Bottom Information Invert Index to Speed up the Query Performance of LSM-tree.
- Dual-contrastive multi-view clustering under the guidance of global similarity and pseudo-label.
- A Powerful Local Search Method for Minimum Steiner Tree Problem.
- Federated and Privacy-Preserving Learning.
- FedOCD: A One-Shot Federated Framework for Heterogeneous Cross-Domain Recommendation.
- Efficient Updateable Private Set Intersection on Outsourced Datasets.
- Client Evaluation and Revision in Federated Learning: Towards Defending Free-Riders and Promoting Fairness.
- A Secure Dynamic Incentive Scheme for Federated Learning.
- A Data Synthesis Approach Based on Local Differential Privacy.
- Byzantine-Robust Aggregation for Federated Learning with Reinforcement Learning.
- Differential Privacy with Data Removal for Online Happiness Assessment.
- EPCQ: Efficient Privacy-preserving Contact Query Processing over Trajectory Data in Cloud.
- Parallel Secure Inference for Multiple Models based on CKKS.
- PrivRBFN: Building Privacy-Preserving Radial Basis Function Networks Based on Federated Learning.
- Robust Federated Learning with Realistic Corruption.
- Network, Blockchain and Edge computing.
- BTQoS: A Tenant Relationship-Aware QoS Framework for Multi-Tenant Distributed Storage System.
- ACMDS: An Anonymous Collaborative Medical Data Sharing Scheme Based on Blockchain.
- MTEC: A Multi-tier Blockchain Storage Framework using Erasure Coding for IoT Application.
- Maintaining Data Freshness in Multi-channel Multi-hop Wireless Networks.
- Proof of Run: A Fair and Sustainable Blockchain Consensus Protocol based on Game Theory in DApps.
- KTSketch: Finding k-persistent t-spread Flows in High-speed Networks.
- A Multi-agent Service Migration Algorithm for Mobile Edge Computing with Diversified Services.
- Dynamic Computation Scheduling for Hybrid Energy Mobile Edge Computing Networks.
- Anomaly Detection and Security.
- Malicious Attack Detection Method for Recommendation Systems Based on Meta-pseudo Labels and Dynamic Features.
- Detecting Camouflaged Social Bots through Multi-level Aggregation and Information Encoding.
- Deep Sarcasm Detection with Sememe and Syntax Knowledge.
- Enhancing Few-Shot Multi-Modal Fake News Detection through Adaptive Fusion.
- AGAE: Unsupervised Anomaly Detection for Encrypted Malicious Traffic.
- ColBetect: A Contrastive Learning Framework Featuring Dual Negative Samples for Anomaly Behavior Detection.
- Magnitude-Contrastive Network for Unsupervised Graph Anomaly Detection.
- Substructure-Guided Graph-level Anomaly with Attention-Aware Aggregation.