A fast blockchain-based federated learning framework with compressed communications
Recently, blockchain-based federated learning (BFL) has attracted intensive research
attention due to that the training process is auditable and the architecture is serverless …
attention due to that the training process is auditable and the architecture is serverless …
The implications of decentralization in blockchained federated learning: Evaluating the impact of model staleness and inconsistencies
Blockchain promises to enhance distributed machine learning (ML) approaches such as
federated learning (FL) by providing further decentralization, security, immutability, and trust …
federated learning (FL) by providing further decentralization, security, immutability, and trust …
Validating the Blockchain Benchmarking Framework through Controlled Deployments of XRPL and Ethereum
M Touloupou, K Christodoulou… - IEEE Access, 2024 - ieeexplore.ieee.org
In the evolving domain of blockchain, a critical challenge lies in the performance analysis of
blockchains under controlled test conditions. This paper focuses on validating the …
blockchains under controlled test conditions. This paper focuses on validating the …
Efficient Scheduling for Multi-Job Federated Learning Systems with Client Sharing
Federated Learning (FL) has emerged as a promising learning approch for data distributed
across edge devices. Existing research mainly focuses on single-job FL systems. However …
across edge devices. Existing research mainly focuses on single-job FL systems. However …