Tootfinder

National Federation of Community Broadcasters gets a $1.25M MacArthur grant; NFCB represents ~200 stations mostly serving rural and underrepresented communities (Austin Fuller/Current)
https://current.org/2025/10/national-federation-of-c…

National Federation of Community Broadcasters lands $1.25M MacArthur grant
The grant “is both an affirmation of the essential role community radio plays in civic life and an investment in the infrastructure that sustains it,” said NFCB CEO Rima Dael.

Makes me almost glad to have outlived all of my elderly family… https://federate.social/@mattblaze/115600998838282974

Federato, which provides AI-powered insurance lifecycle software, raised a $100M Series D led by Goldman Sachs Alternatives, taking its total funding to $180M (InsurTech Analyst)
https://insurtechanalyst.com/2025/11/18/federato-launches-ai-n…

Multimodal-enhanced Federated Recommendation: A Group-wise Fusion Approach
Chunxu Zhang, Weipeng Zhang, Guodong Long, Zhiheng Xue, Riting Xia, Bo Yang
https://arxiv.org/abs/2509.19955

Multimodal-enhanced Federated Recommendation: A Group-wise Fusion Approach
Federated Recommendation (FR) is a new learning paradigm to tackle the learn-to-rank problem in a privacy-preservation manner. How to integrate multi-modality features into federated recommendation is still an open challenge in terms of efficiency, distribution heterogeneity, and fine-grained alignment. To address these challenges, we propose a novel multimodal fusion mechanism in federated recommendation settings (GFMFR). Specifically, it offloads multimodal representation learning to the serv…

Finally saw this. @… (and me 🙇‍♂️) featured on @… 's talk "The Future is federated" in #fediday2025 (3-5 Oct 2025)
Link…

Federation of Agents: A Semantics-Aware Communication Fabric for Large-Scale Agentic AI
Lorenzo Giusti, Ole Anton Werner, Riccardo Taiello, Matilde Carvalho Costa, Emre Tosun, Andrea Protani, Marc Molina, Rodrigo Lopes de Almeida, Paolo Cacace, Diogo Reis Santos, Luigi Serio
https://arxiv.org/abs/2509.20175…

Federation of Agents: A Semantics-Aware Communication Fabric for Large-Scale Agentic AI
We present Federation of Agents (FoA), a distributed orchestration framework that transforms static multi-agent coordination into dynamic, capability-driven collaboration. FoA introduces Versioned Capability Vectors (VCVs): machine-readable profiles that make agent capabilities searchable through semantic embeddings, enabling agents to advertise their capabilities, cost, and limitations. Our aarchitecturecombines three key innovations: (1) semantic routing that matches tasks to agents over shar…

FairEquityFL -- A Fair and Equitable Client Selection in Federated Learning for Heterogeneous IoV Networks
Fahmida Islam, Adnan Mahmood, Noorain Mukhtiar, Kasun Eranda Wijethilake, Quan Z. Sheng
https://arxiv.org/abs/2509.20193

FairEquityFL -- A Fair and Equitable Client Selection in Federated Learning for Heterogeneous IoV Networks
Federated Learning (FL) has been extensively employed for a number of applications in machine learning, i.e., primarily owing to its privacy preserving nature and efficiency in mitigating the communication overhead. Internet of Vehicles (IoV) is one of the promising applications, wherein FL can be utilized to train a model more efficiently. Since only a subset of the clients can participate in each FL training round, challenges arise pertinent to fairness in the client selection process. Over t…

<kid walking out the door to take exam at school>
Me: "Remember son... what are we?"
Kid: "We are A-SIANS, not B-SIANS, Dad!"
Me: "That's my boy."
Both: <doubled over laughing>
#fatherhood

Federated Aggregation of Demand Flexibility
Yifan Dong, Ge Chen, Junjie Qin
https://arxiv.org/abs/2509.19612 https://arxiv.org/pdf/2509.19612

Federated Aggregation of Demand Flexibility
This paper proposes a federated framework for demand flexibility aggregation to support grid operations. Unlike existing geometric methods that rely on a static, pre-defined base set as the geometric template for aggregation, our framework establishes a true federated process by enabling the collaborative optimization of this base set without requiring the participants sharing sensitive data with the aggregator. Specifically, we first formulate the base set optimization problem as a bilevel pro…

An Empirical Analysis of Secure Federated Learning for Autonomous Vehicle Applications
Md Jueal Mia, M. Hadi Amini
https://arxiv.org/abs/2509.20223 https://

An Empirical Analysis of Secure Federated Learning for Autonomous Vehicle Applications
Federated Learning lends itself as a promising paradigm in enabling distributed learning for autonomous vehicles applications and ensuring data privacy while enhancing and refining predictive model performance through collaborative training on edge client vehicles. However, it remains vulnerable to various categories of cyber-attacks, necessitating more robust security measures to effectively mitigate potential threats. Poisoning attacks and inference attacks are commonly initiated within the f…