Abstract: Federated learning has solved the problems of data silos and data fragmentation on the premise of satisfying privacy. However, cryptographic algorithms in federated learning brought ...
Abstract: In parallel distributed data processing frameworks like Spark and Flink, task scheduling has a great impact on cluster performance. Though task Scheduling has proven to be an NP-complete ...
Given that extreme weather disturbances frequently threaten the safe and stable operation of new power systems, the uncertainty of source–load forecasting has become a particular bottleneck affecting ...
In this article, we advocate environmental equity as a priority for the management of future globally deployed AI systems. Concretely, we explore the potential of harnessing AI workloads’ scheduling ...
NanoFlow is a throughput-oriented high-performance serving framework for LLMs. NanoFlow consistently delivers superior throughput compared to vLLM, Deepspeed-FastGen, and TensorRT-LLM. NanoFlow ...
Maybe they should have called it DeepFake, or DeepState, or better still Deep Selloff. Or maybe the other obvious deep thing that the indigenous AI vendors in the United States are standing up to ...
The elliptic curve cryptography algorithm represents a major advancement in the field of computer security. This innovative algorithm uses elliptic curves to encrypt and secure data, providing an ...
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